#API Automation testing services

[testrigtechnologies]

Shift-Left Testing for APIs: How Early Automation Improves Quality

Traditional software testing often takes place at the later stages of development, leading to late defect detection, high remediation costs, and delayed releases.

Shift-Left Testing moves testing activities earlier in the development cycle, allowing teams to catch issues sooner and improve overall software quality. When applied to API testing, this proactive approach enhances performance, security, and reliability while reducing technical debt.

What is Shift-Left API Testing? A Smarter Approach to Automation

Shift-Left API testing is the practice of integrating API testing into the early stages of development, rather than waiting until the final phases. This approach involves:

Automating API Tests Early – Creating automated test suites as soon as API endpoints are designed.

Integrating with CI/CD Pipelines – Running tests continuously to detect issues before deployment.

Mocking and Service Virtualization – Simulating API behaviors to test dependencies in isolation.

Early Performance and Security Testing – Identifying bottlenecks and vulnerabilities from the start.

How Early API Automation Improves Quality

Automation is the cornerstone of effective Shift-Left Testing. By automating API tests, teams can achieve faster feedback loops, consistent test execution, and improved test coverage. Here’s how early automation improves API quality:

1. Validate API Contracts Early

API contracts, such as OpenAPI or Swagger specifications, define how an API should behave. Automated tools like Postman, SwaggerHub, or Pact can validate these contracts during the design phase. This ensures that the API adheres to its specifications before any code is written.

2. Automate Functional Testing

Functional testing ensures that the API works as expected. By automating functional tests using tools like RestAssured, Karate, or SoapUI, teams can quickly verify endpoints, request/response payloads, and error handling. These tests can be integrated into CI/CD pipelines for continuous validation.

3. Performance Testing from the Start

Performance issues in APIs can lead to slow response times and system crashes. Tools like JMeter or Gatling allow teams to automate performance tests early in the development process. This helps identify bottlenecks and scalability issues before they impact users.

4. Security Testing in the SDLC

APIs are a common target for cyberattacks. Automated security testing tools like OWASP ZAP or Burp Suite can scan APIs for vulnerabilities such as SQL injection, broken authentication, or data exposure. Integrating these tools into the SDLC ensures that security is baked into the API from the start.

5. Continuous Feedback with CI/CD Integration

Automated API tests can be integrated into CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI. This provides continuous feedback to developers, enabling them to address issues immediately and maintain high-quality standards throughout the development process.

Best Practices for Implementing Shift-Left API Testing

1. Define API Test Cases Early

Design test cases alongside API specifications to ensure coverage of all functional and non-functional requirements.

2. Leverage API Mocking

Use mocking tools (like WireMock or Postman Mock Server) to test API behavior before actual development.

3. Automate Regression Testing

Implement API regression tests to validate new code changes without breaking existing functionality.

4. Implement Security Testing from the Start

Use security testing tools like OWASP ZAP and Burp Suite to identify vulnerabilities in APIs early.

5. Optimize API Performance Testing

Incorporate tools like JMeter or k6 to measure API response times, load handling, and scalability.

Conclusion

Shift-Left Testing is a game-changer for API development. By integrating testing early in the SDLC and leveraging automation, teams can ensure that APIs are reliable, performant, and secure from the start. This not only improves the quality of APIs but also accelerates delivery, reduces costs, and enhances customer satisfaction.

In today’s competitive landscape, quality is not an afterthought—it’s a priority. Embrace Shift-Left Testing for APIs and take the first step toward building robust, high-quality software systems.

Partner with Testrig Technologies for Expert API Testing

As a leading API Automation Testing Company, at Testrig Technologies, we specialize in Shift-Left API Testing and automation, helping businesses enhance API quality and performance. Our team ensures seamless integration, early defect detection, and optimized testing strategies. Contact us today

[yethiconsulting]

API Testing in Web Applications – A Comprehensive Guide

API testing is a critical part of quality assurance in modern web applications, where front-end interfaces depend heavily on APIs to interact with servers, databases, and third-party services. Unlike traditional UI testing, API testing allows developers and QA teams to validate core application functionality at the service level—before the UI is even built.

In web applications, APIs handle user authentication, data retrieval, form submissions, and complex business workflows. Testing these APIs ensures that endpoints respond correctly to various requests, handle edge cases, and remain secure under load. Key test types include functional testing, performance testing, security testing, and contract testing.

Popular tools for web API testing include Postman, Rest Assured, Swagger, and JMeter. These tools allow testers to create, automate, and validate requests such as GET, POST, PUT, and DELETE, ensuring accurate status codes, response bodies, and headers.

Integrating API testing into CI/CD pipelines accelerates feedback, reduces regression risks, and ensures that broken APIs are caught early. It’s especially valuable in Agile environments where rapid development cycles demand robust, automated testing frameworks.

In short, API testing is not just a backend task—it’s a foundation for building fast, reliable, and scalable web applications.

[solutionmindfire]

APIs (Application Programming Interfaces) are the backbone of modern digital ecosystems. They enable seamless interaction between applications, platforms, and services. However, their exposure makes them a prime attack vector. API security testing identifies vulnerabilities in APIs to ensure data confidentiality, integrity, and availability.

[qasoftwaretesting01]

How to Build an Efficient Test Automation Strategy

In today’s fast-paced software development environment, manual testing can no longer keep up with the demand for speed, accuracy, and scale. Automation testing has become essential for ensuring high-quality software while improving efficiency. However, building an efficient test automation strategy requires careful planning and execution. Below are key steps to consider when creating an effective test automation strategy.

1. Define Clear Objectives

Before diving into automation, it's crucial to define the objectives of your automation testing strategy. Understand what you hope to achieve: faster release cycles, better coverage, or reduced human error. Identifying the key goals will help guide the tools, frameworks, and testing approaches you choose.

Some objectives might include:

Reducing time to market

Improving regression testing efficiency

Increasing test coverage across multiple platforms

Ensuring faster feedback for developers

2. Select the Right Tools

Choosing the right tools is essential to the success of your automation testing services. The tools should align with the technology stack you're using and the scope of your testing needs. Consider tools for functional testing, performance testing, API testing, and cross-browser testing.

Popular automation testing tools include:

Selenium: Widely used for web application automation.

JUnit/NUnit: Ideal for unit testing in Java or .NET applications.

Appium: Used for automating mobile application testing.

TestComplete: A comprehensive test automation tool that supports a wide range of applications.

Jenkins: Integrates with various test automation tools and supports continuous integration.

When choosing tools, consider factors such as ease of use, integration capabilities with CI/CD pipelines, and support for parallel execution. For businesses looking for the best automation testing services, PrimeQA Solutions is among the top-rated automation testing companies, providing excellent tools and services tailored to different business needs.

3. Choose the Right Tests to Automate

Not all tests are suitable for automation. It's essential to identify which types of tests will provide the most value when automated. The most commonly automated tests are:

Regression tests: These tests ensure that new changes haven’t introduced bugs in the system.

Smoke tests: Basic tests that ensure the software is stable enough for further testing.

Data-driven tests: Testing different input sets to verify the system’s ability to handle varying data.

Avoid automating tests that are executed rarely or those that are highly complex and likely to change frequently. These tests may not provide sufficient ROI when automated. API automation testing is another area that can save significant time when integrated into the testing strategy.

4. Design a Robust Test Automation Framework

A test automation framework is a set of guidelines or best practices that ensures consistency and maintainability in your automated tests. A well-designed framework will help reduce code duplication, improve code readability, and make it easier to maintain tests in the long run.

There are several types of frameworks to choose from, including:

Keyword-driven Framework: Separates the test logic from the test data and keywords, making tests more readable.

Data-driven Framework: Tests are designed to run with multiple sets of input data, improving coverage.

Modular Framework: Breaks tests into reusable modules for better maintainability.

Hybrid Framework: Combines elements from multiple frameworks to optimize for different needs.

Ensure that the framework supports continuous integration (CI) tools and is easy to scale as your test suite grows. A test automation framework that integrates well with API automation testing can significantly improve overall testing efficiency.

5. Implement Continuous Integration (CI) and Continuous Testing

Automating tests in isolation won't bring significant benefits unless integrated into the development lifecycle. Continuous Integration (CI) is a practice where code changes are automatically tested through the build pipeline every time a developer commits code. This ensures that tests are run frequently and bugs are detected early.

Continuous Testing (CT) ensures that tests are executed in every stage of the development pipeline, including pre-production, to guarantee that software quality is maintained. Integrating your test automation suite with a CI/CD pipeline ensures that automated tests are executed quickly and results are available promptly.

6. Maintain Test Scripts Regularly

Test automation isn’t a one-time task. As software evolves, so should your tests. Regular maintenance is essential to keep tests up-to-date with application changes, eliminating outdated tests and adding new ones to cover new functionality. Implementing test reviews and updating tests during each sprint or release cycle will keep your automated test suite relevant.

7. Measure and Optimize Test Automation

Once your test automation strategy is in place, it's crucial to measure its effectiveness. Metrics such as test execution time, the percentage of tests passed/failed, and the overall impact on the release cycle should be tracked. Use these insights to optimize the automation testing strategy further.

Improving automation efficiency could involve optimizing test scripts, parallelizing tests to run on multiple environments, or refining the CI/CD pipeline to reduce bottlenecks. A skilled automation tester can help identify and eliminate inefficiencies in the process, ensuring faster and more reliable testing.

Conclusion

An efficient test automation strategy is a blend of clear objectives, the right tools, well-designed frameworks, and continuous optimization. By following these steps, you can ensure that your test automation efforts deliver consistent, reliable results, reduce manual effort, and accelerate software delivery without compromising quality. Automation testing is a continuous journey, and constant refinement and measurement are key to its success.

For businesses looking to scale their testing efforts and achieve the highest standards, partnering with top automation testing companies like PrimeQA Solutions can significantly enhance the efficiency of your automation testing services, helping you achieve better results with reduced effort.

[itcareerblogs]

Top 10 In- Demand Tech Jobs in 2025

Technology is growing faster than ever, and so is the need for skilled professionals in the field. From artificial intelligence to cloud computing, businesses are looking for experts who can keep up with the latest advancements. These tech jobs not only pay well but also offer great career growth and exciting challenges.

In this blog, we’ll look at the top 10 tech jobs that are in high demand today. Whether you’re starting your career or thinking of learning new skills, these jobs can help you plan a bright future in the tech world.

1. AI and Machine Learning Specialists

Artificial Intelligence (AI)  and Machine Learning are changing the game by helping machines learn and improve on their own without needing step-by-step instructions. They’re being used in many areas, like chatbots, spotting fraud, and predicting trends.

Key Skills: Python, TensorFlow, PyTorch, data analysis, deep learning, and natural language processing (NLP).

Industries Hiring: Healthcare, finance, retail, and manufacturing.

Career Tip: Keep up with AI and machine learning by working on projects and getting an AI certification. Joining AI hackathons helps you learn and meet others in the field.

2. Data Scientists

Data scientists work with large sets of data to find patterns, trends, and useful insights that help businesses make smart decisions. They play a key role in everything from personalized marketing to predicting health outcomes.

Key Skills: Data visualization, statistical analysis, R, Python, SQL, and data mining.

Industries Hiring: E-commerce, telecommunications, and pharmaceuticals.

Career Tip: Work with real-world data and build a strong portfolio to showcase your skills. Earning certifications in data science tools can help you stand out.

3. Cloud Computing Engineers: These professionals create and manage cloud systems that allow businesses to store data and run apps without needing physical servers, making operations more efficient.

Key Skills: AWS, Azure, Google Cloud Platform (GCP), DevOps, and containerization (Docker, Kubernetes).

Industries Hiring: IT services, startups, and enterprises undergoing digital transformation.

Career Tip: Get certified in cloud platforms like AWS (e.g., AWS Certified Solutions Architect).

4. Cybersecurity Experts

Cybersecurity professionals protect companies from data breaches, malware, and other online threats. As remote work grows, keeping digital information safe is more crucial than ever.

Key Skills: Ethical hacking, penetration testing, risk management, and cybersecurity tools.

Industries Hiring: Banking, IT, and government agencies.

Career Tip: Stay updated on new cybersecurity threats and trends. Certifications like CEH (Certified Ethical Hacker) or CISSP (Certified Information Systems Security Professional) can help you advance in your career.

5. Full-Stack Developers

Full-stack developers are skilled programmers who can work on both the front-end (what users see) and the back-end (server and database) of web applications.

Key Skills: JavaScript, React, Node.js, HTML/CSS, and APIs.

Industries Hiring: Tech startups, e-commerce, and digital media.

Career Tip: Create a strong GitHub profile with projects that highlight your full-stack skills. Learn popular frameworks like React Native to expand into mobile app development.

6. DevOps Engineers

DevOps engineers help make software faster and more reliable by connecting development and operations teams. They streamline the process for quicker deployments.

Key Skills: CI/CD pipelines, automation tools, scripting, and system administration.

Industries Hiring: SaaS companies, cloud service providers, and enterprise IT.

Career Tip: Earn key tools like Jenkins, Ansible, and Kubernetes, and develop scripting skills in languages like Bash or Python. Earning a DevOps certification is a plus and can enhance your expertise in the field.

7. Blockchain Developers

They build secure, transparent, and unchangeable systems. Blockchain is not just for cryptocurrencies; it’s also used in tracking supply chains, managing healthcare records, and even in voting systems.

Key Skills: Solidity, Ethereum, smart contracts, cryptography, and DApp development.

Industries Hiring: Fintech, logistics, and healthcare.

Career Tip: Create and share your own blockchain projects to show your skills. Joining blockchain communities can help you learn more and connect with others in the field.

8. Robotics Engineers

Robotics engineers design, build, and program robots to do tasks faster or safer than humans. Their work is especially important in industries like manufacturing and healthcare.

Key Skills: Programming (C++, Python), robotics process automation (RPA), and mechanical engineering.

Industries Hiring: Automotive, healthcare, and logistics.

Career Tip: Stay updated on new trends like self-driving cars and AI in robotics.

9. Internet of Things (IoT) Specialists

IoT specialists work on systems that connect devices to the internet, allowing them to communicate and be controlled easily. This is crucial for creating smart cities, homes, and industries.

Key Skills: Embedded systems, wireless communication protocols, data analytics, and IoT platforms.

Industries Hiring: Consumer electronics, automotive, and smart city projects.

Career Tip: Create IoT prototypes and learn to use platforms like AWS IoT or Microsoft Azure IoT. Stay updated on 5G technology and edge computing trends.

10. Product Managers

Product managers oversee the development of products, from idea to launch, making sure they are both technically possible and meet market demands. They connect technical teams with business stakeholders.

Key Skills: Agile methodologies, market research, UX design, and project management.

Industries Hiring: Software development, e-commerce, and SaaS companies.

Career Tip: Work on improving your communication and leadership skills. Getting certifications like PMP (Project Management Professional) or CSPO (Certified Scrum Product Owner) can help you advance.

Importance of Upskilling in the Tech Industry

Stay Up-to-Date: Technology changes fast, and learning new skills helps you keep up with the latest trends and tools.

Grow in Your Career: By learning new skills, you open doors to better job opportunities and promotions.

Earn a Higher Salary: The more skills you have, the more valuable you are to employers, which can lead to higher-paying jobs.

Feel More Confident: Learning new things makes you feel more prepared and ready to take on tougher tasks.

Adapt to Changes: Technology keeps evolving, and upskilling helps you stay flexible and ready for any new changes in the industry.

Top Companies Hiring for These Roles

Global Tech Giants: Google, Microsoft, Amazon, and IBM.

Startups: Fintech, health tech, and AI-based startups are often at the forefront of innovation.

Consulting Firms: Companies like Accenture, Deloitte, and PwC increasingly seek tech talent.

In conclusion,  the tech world is constantly changing, and staying updated is key to having a successful career. In 2025, jobs in fields like AI, cybersecurity, data science, and software development will be in high demand. By learning the right skills and keeping up with new trends, you can prepare yourself for these exciting roles. Whether you're just starting or looking to improve your skills, the tech industry offers many opportunities for growth and success.

[teqful]

How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration

[createncodewebtechnologies]

B2B ecommerce website development in Indore

B2B eCommerce website development in Indore presents a lucrative opportunity for businesses looking to establish a strong online presence. With its rich talent pool, cost-effective solutions, and innovative approach, Indore has become a preferred destination for digital transformation projects. Online transactions between companies, as opposed to between companies and customers, are referred to as business-to-business (B2B) eCommerce. Strong B2B eCommerce solutions are essential given the growing dependence on digital platforms for supplier relationships, inventory control, and procurement.

The Significance of B2B eCommerce

Streamlined Operations: Efficiency is increased by automating procedures including order placing, tracking, and payment. Global Reach: Companies are able to grow their clientele beyond national borders. Cost Efficiency: By reducing manual intervention, digital systems lower operating expenses. Improved Customer Experience: Self-service portals, bulk ordering, and customized pricing are examples of features that increase consumer pleasure.

Why Indore Is a Center for the Development of B2B eCommerce

Indore has established itself as one of the fastest-growing IT cities in India. Businesses might think about Indore for the creation of B2B eCommerce websites for the following main reasons: Skilled Talent Pool: Indore is home to a sizable population of web developers, designers, and IT specialists that are knowledgeable about cutting-edge technologies. Cost-Effective Solutions: Development services in Indore are exceptional value for money and are less expensive than in major cities. Successful Startup Ecosystem: The dynamic entrepreneurial climate in Indore encourages originality and inventiveness in web development. Robust Infrastructure: The city's cutting-edge IT infrastructure facilitates timely delivery and smooth project execution. Client Proximity: Because of its advantageous location, companies in Central India can work with developers situated in Indore with ease.

How to Create a Business-to-Business eCommerce Website in Indore ?

Building a strong B2B eCommerce platform requires careful preparation and implementation. Here’s a step-by-step guide:

1. Analysis of Requirements

Determine the target market and business goals.

Specify the essential features and integration requirements.

2. Selecting the Appropriate Platform Depending on your needs, choose bespoke development or platforms like Magento or Shopify Plus. 3. Design of UI/UX

Create prototypes and wireframes for approval.

Concentrate on producing a design that is neat, expert, and user-focused.

4. Growth and Assimilation

To create the website, write clear, optimal code.

Increase functionality by integrating third-party tools and APIs.

5. Quality Assurance and Testing

To get rid of bugs, do thorough testing.

Make sure it works on all devices and browsers.

6. Implementation and Upkeep

Use secure servers to launch the website.

Assure seamless operations by providing regular updates and support.

[testrigtechnologies]

AI-Powered Development: Boosting Productivity for Coders and Testers

The software development landscape is undergoing a radical transformation, driven by artificial intelligence (AI). From automating repetitive coding tasks to enhancing test coverage, AI is reshaping how developers and testers work—making them faster, more efficient, and more innovative.

But what does AI-powered development really mean? How can coders and testers leverage AI to maximize productivity? And what are the risks and challenges?

In this deep dive, we’ll explore how AI is revolutionizing software development, the tools leading the charge, and best practices for integrating AI into your workflow.

1. How AI is Transforming Coding

a) AI-Assisted Code Generation

Tools like GitHub Copilot, Amazon CodeWhisperer, and Tabnine use large language models (LLMs) to suggest code snippets, complete functions, and even generate entire modules based on natural language prompts.

Pros:

Reduces boilerplate code writing.

Speeds up prototyping.

Helps junior developers learn best practices.

Cons:

May produce insecure or inefficient code.

Over-reliance can hinder deep understanding.

b) AI-Powered Debugging & Optimization

AI can analyze code for bugs, performance bottlenecks, and security vulnerabilities. Tools like DeepCode (now Snyk Code) and SonarQube use machine learning to detect anomalies.

Example:

AI can predict memory leaks in C++ or race conditions in multi-threaded applications.

c) Natural Language to Code

With models like OpenAI’s ChatGPT and Google’s Gemini, developers can describe what they need in plain English, and the AI generates executable code.

Use Case:

A developer asks, "Create a Python function to fetch stock prices using Yahoo Finance API," and the AI writes the code.

2. AI in Software Testing: Smarter, Faster, More Reliable

a) Automated Test Case Generation

AI tools like Testim, Applitools, and Mabl can:

Auto-generate test cases based on user behavior.

Identify edge cases humans might miss.

Self-heal tests when UI elements change.

b) Visual & Regression Testing

AI-powered visual testing tools (e.g., Percy, Applitools) compare screenshots pixel-by-pixel to detect UI bugs.

Example:

If a button moves 2 pixels to the right, AI flags it—even if functional tests pass.

c) Predictive Test Selection

Instead of running all tests, AI predicts which tests are most likely to fail based on code changes (used by Google’s CI system).

3. The Future: AI-Driven DevOps & MLOps

AI is not just helping with coding and testing—it’s optimizing the entire software lifecycle:

AI in CI/CD Pipelines:

Auto-trigger builds based on risk assessment.

Optimize test suites to reduce execution time.

AI in Incident Management:

Tools like PagerDuty use AI to correlate logs and predict outages.

4. Challenges & Ethical Considerations

While AI boosts productivity, it comes with risks:

Bias in AI Models:

If trained on flawed code, AI may propagate bad practices.

Security Risks:

AI-generated code could introduce vulnerabilities.

Job Impact:

Will AI replace developers? Unlikely—but it will change their roles.

5. Best Practices for Adopting AI in Development

Use AI as a Pair Programmer, Not a Replacement – Review AI-generated code critically.

Focus on Upskilling – Learn how AI works to better control its outputs.

Combine AI with Traditional Testing – Don’t rely solely on AI for test coverage.

Monitor AI’s Impact – Track productivity gains vs. risks.

Conclusion

AI-powered development is not a distant future—it’s here. Developers and testers who embrace AI tools will see massive productivity gains, while those who ignore them risk falling behind.

However, AI is a tool, not a magic wand. The best outcomes come from combining AI’s speed with human expertise—leading to faster, smarter, and more reliable software development.

Are you already using AI in your API testing workflow? Share your experiences in the comments! Or connect with a leading AI automation testing company to explore how AI-powered testing solutions can elevate your API quality. Reach out today!

[mulemasters]

Quality Assurance (QA) Analyst - Tosca

Model-Based Test Automation (MBTA):

Tosca uses a model-based approach to automate test cases, which allows for greater reusability and easier maintenance.

Scriptless Testing:

Tosca offers a scriptless testing environment, enabling testers with minimal programming knowledge to create complex test cases using a drag-and-drop interface.

Risk-Based Testing (RBT):

Tosca helps prioritize testing efforts by identifying and focusing on high-risk areas of the application, improving test coverage and efficiency.

Continuous Integration and DevOps:

Integration with CI/CD tools like Jenkins, Bamboo, and Azure DevOps enables automated testing within the software development pipeline.

Cross-Technology Testing:

Tosca supports testing across various technologies, including web, mobile, APIs, and desktop applications.

Service Virtualization:

Tosca allows the simulation of external services, enabling testing in isolated environments without dependency on external systems.

Tosca Testing Process

Requirements Management:

Define and manage test requirements within Tosca, linking them to test cases to ensure comprehensive coverage.

Test Case Design:

Create test cases using Tosca’s model-based approach, focusing on functional flows and data variations.

Test Data Management:

Manage and manipulate test data within Tosca to support different testing scenarios and ensure data-driven testing.

Test Execution:

Execute test cases automatically or manually, tracking progress and results in real-time.

Defect Management:

Identify, log, and track defects through Tosca’s integration with various bug-tracking tools like JIRA and Bugzilla.

Reporting and Analytics:

Generate detailed reports and analytics on test coverage, execution results, and defect trends to inform decision-making.

Benefits of Using Tosca for QA Analysts

Efficiency: Automation and model-based testing significantly reduce the time and effort required for test case creation and maintenance.

Accuracy: Reduces human error by automating repetitive tasks and ensuring consistent execution of test cases.

Scalability: Easily scales to accommodate large and complex testing environments, supporting continuous testing in agile and DevOps processes.

Integration: Seamlessly integrates with various tools and platforms, enhancing collaboration across development, testing, and operations teams.

Skills Required for QA Analysts Using Tosca

Understanding of Testing Principles: Fundamental knowledge of manual and automated testing principles and methodologies.

Technical Proficiency: Familiarity with Tosca and other testing tools, along with basic understanding of programming/scripting languages.

Analytical Skills: Ability to analyze requirements, design test cases, and identify potential issues effectively.

Attention to Detail: Keen eye for detail to ensure comprehensive test coverage and accurate defect identification.

Communication Skills: Strong verbal and written communication skills to document findings and collaborate with team members.

[hostpyters]

Reply.io is a sales engagement platform designed to help sales teams automate and manage their outreach efforts through multiple communication channels. It aims to streamline the process of engaging with prospects and customers, thereby increasing productivity and efficiency.

Below is a detailed review of its features and functionalities:

Key Features

Multi-Channel Outreach:

Email Campaigns: Automate and personalize email sequences to reach prospects effectively.

Phone Calls: Integrates with VoIP services to facilitate direct calling from the platform, including features like call recording and logging.

Social Media: Allows outreach via LinkedIn, including automated message sequences.

SMS and WhatsApp: Supports text-based outreach through SMS and WhatsApp for more direct communication channels.

Automation and Sequencing:

Automated Workflows: Create automated workflows that sequence multiple touch points across different channels.

Conditional Logic: Use conditional steps to branch sequences based on recipient behavior, such as email opens or replies.

Task Automation: Automate repetitive tasks such as follow-ups, reminders, and updating CRM records. Personalization and AI:

Email Personalization: Use dynamic fields to personalize email content, increasing engagement rates.

AI-Powered Suggestions: AI tools provide suggestions for improving email content and outreach strategies.

Personalized Videos: Integrates with video messaging tools to include personalized video content in emails.

Integration and API:

CRM Integration: Seamlessly integrates with major CRM systems like Salesforce, HubSpot, and Pipedrive, ensuring data synchronization.

API Access: Provides API access for custom integrations and automations, allowing for greater flexibility.

Third-Party Tools: Connects with various other tools such as Zapier, Slack, and Google Apps to enhance functionality.

Analytics and Reporting:

Campaign Analytics: Detailed analytics on email open rates, reply rates, click-through rates, and more.

A/B Testing: Test different versions of emails to determine which performs better.

Team Performance: Track team performance metrics to identify areas for improvement and optimize outreach efforts.

Contact Management:

Lead Management: Centralized database for managing contacts and leads, with segmentation and filtering options.

Enrichment: Automatic data enrichment to enhance lead profiles with relevant information.

Prospect Importing: Easily import contacts from CSV files or directly from integrated CRM systems.

Pros Comprehensive Multi-Channel Outreach: Supports a variety of communication channels, providing a holistic approach to sales engagement.

Advanced Automation and Sequencing: Powerful automation features help streamline workflows and increase efficiency.

Deep Personalization: Tools for email and video personalization improve engagement and response rates.

Robust Integration Capabilities: Seamless integration with CRM systems and other third-party tools enhances data synchronization and workflow automation.

Detailed Analytics: Comprehensive reporting and analytics provide insights into campaign performance and team productivity.

Cons Complexity: The extensive features and customization options can be overwhelming for new users, requiring a learning curve to fully utilize the platform.

Cost: Pricing can be relatively high, especially for smaller businesses or startups with limited budgets.

Limited Free Tier: The free tier offers limited functionality, which may not be sufficient for more extensive outreach needs.

Reply.io is a powerful and versatile sales engagement platform that offers a comprehensive suite of tools for multi-channel outreach, automation, and personalization. Its robust integration capabilities and detailed analytics make it an excellent choice for sales teams looking to optimize their engagement strategies and improve productivity. However, the complexity and cost may pose challenges for smaller organizations or those new to such platforms. Overall, Reply.io provides significant value for businesses seeking to enhance their sales outreach and engagement efforts.

[nyaza]

(this is a small story of how I came to write my own intrusion detection/prevention framework and why I'm really happy with that decision, don't mind me rambling)

Preface

About two weeks ago I was faced with a pretty annoying problem. Whilst I was going home by train I have noticed that my server at home had been running hot and slowed down a lot. This prompted me to check my nginx logs, the only service that is indirectly available to the public (more on that later), which made me realize that - due to poor access control - someone had been sending me hundreds of thousands of huge DNS requests to my server, most likely testing for vulnerabilities. I added an iptables rule to drop all traffic from the aforementioned source and redirected remaining traffic to a backup NextDNS instance that I set up previously with the same overrides and custom records that my DNS had to not get any downtime for the service but also allow my server to cool down. I stopped the DNS service on my server at home and then used the remaining train ride to think. How would I stop this from happening in the future? I pondered multiple possible solutions for this problem, whether to use fail2ban, whether to just add better access control, or to just stick with the NextDNS instance.

I ended up going with a completely different option: making a solution, that's perfectly fit for my server, myself.

My Server Structure

So, I should probably explain how I host and why only nginx is public despite me hosting a bunch of services under the hood.

I have a public facing VPS that only allows traffic to nginx. That traffic then gets forwarded through a VPN connection to my home server so that I don't have to have any public facing ports on said home server. The VPS only really acts like the public interface for the home server with access control and logging sprinkled in throughout my configs to get more layers of security. Some Services can only be interacted with through the VPN or a local connection, such that not everything is actually forwarded - only what I need/want to be.

I actually do have fail2ban installed on both my VPS and home server, so why make another piece of software?

Tabarnak - Succeeding at Banning

I had a few requirements for what I wanted to do:

Only allow HTTP(S) traffic through Cloudflare

Only allow DNS traffic from given sources; (location filtering, explicit white-/blacklisting);

Webhook support for logging

Should be interactive (e.g. POST /api/ban/{IP})

Detect automated vulnerability scanning

Integration with the AbuseIPDB (for checking and reporting)

As I started working on this, I realized that this would soon become more complex than I had thought at first.

Webhooks for logging This was probably the easiest requirement to check off my list, I just wrote my own log() function that would call a webhook. Sadly, the rest wouldn't be as easy.

Allowing only Cloudflare traffic This was still doable, I only needed to add a filter in my nginx config for my domain to only allow Cloudflare IP ranges and disallow the rest. I ended up doing something slightly different. I added a new default nginx config that would just return a 404 on every route and log access to a different file so that I could detect connection attempts that would be made without Cloudflare and handle them in Tabarnak myself.

Integration with AbuseIPDB Also not yet the hard part, just call AbuseIPDB with the parsed IP and if the abuse confidence score is within a configured threshold, flag the IP, when that happens I receive a notification that asks me whether to whitelist or to ban the IP - I can also do nothing and let everything proceed as it normally would. If the IP gets flagged a configured amount of times, ban the IP unless it has been whitelisted by then.

Location filtering + Whitelist + Blacklist This is where it starts to get interesting. I had to know where the request comes from due to similarities of location of all the real people that would actually connect to the DNS. I didn't want to outright ban everyone else, as there could be valid requests from other sources. So for every new IP that triggers a callback (this would only be triggered after a certain amount of either flags or requests), I now need to get the location. I do this by just calling the ipinfo api and checking the supplied location. To not send too many requests I cache results (even though ipinfo should never be called twice for the same IP - same) and save results to a database. I made my own class that bases from collections.UserDict which when accessed tries to find the entry in memory, if it can't it searches through the DB and returns results. This works for setting, deleting, adding and checking for records. Flags, AbuseIPDB results, whitelist entries and blacklist entries also get stored in the DB to achieve persistent state even when I restart.

Detection of automated vulnerability scanning For this, I went through my old nginx logs, looking to find the least amount of paths I need to block to catch the biggest amount of automated vulnerability scan requests. So I did some data science magic and wrote a route blacklist. It doesn't just end there. Since I know the routes of valid requests that I would be receiving (which are all mentioned in my nginx configs), I could just parse that and match the requested route against that. To achieve this I wrote some really simple regular expressions to extract all location blocks from an nginx config alongside whether that location is absolute (preceded by an =) or relative. After I get the locations I can test the requested route against the valid routes and get back whether the request was made to a valid URL (I can't just look for 404 return codes here, because there are some pages that actually do return a 404 and can return a 404 on purpose). I also parse the request method from the logs and match the received method against the HTTP standard request methods (which are all methods that services on my server use). That way I can easily catch requests like:

XX.YYY.ZZZ.AA - - [25/Sep/2023:14:52:43 +0200] "145.ll|'|'|SGFjS2VkX0Q0OTkwNjI3|'|'|WIN-JNAPIER0859|'|'|JNapier|'|'|19-02-01|'|'||'|'|Win 7 Professional SP1 x64|'|'|No|'|'|0.7d|'|'|..|'|'|AA==|'|'|112.inf|'|'|SGFjS2VkDQoxOTIuMTY4LjkyLjIyMjo1NTUyDQpEZXNrdG9wDQpjbGllbnRhLmV4ZQ0KRmFsc2UNCkZhbHNlDQpUcnVlDQpGYWxzZQ==12.act|'|'|AA==" 400 150 "-" "-"

I probably over complicated this - by a lot - but I can't go back in time to change what I did.

Interactivity As I showed and mentioned earlier, I can manually white-/blacklist an IP. This forced me to add threads to my previously single-threaded program. Since I was too stubborn to use websockets (I have a distaste for websockets), I opted for probably the worst option I could've taken. It works like this: I have a main thread, which does all the log parsing, processing and handling and a side thread which watches a FIFO-file that is created on startup. I can append commands to the FIFO-file which are mapped to the functions they are supposed to call. When the FIFO reader detects a new line, it looks through the map, gets the function and executes it on the supplied IP. Doing all of this manually would be way too tedious, so I made an API endpoint on my home server that would append the commands to the file on the VPS. That also means, that I had to secure that API endpoint so that I couldn't just be spammed with random requests. Now that I could interact with Tabarnak through an API, I needed to make this user friendly - even I don't like to curl and sign my requests manually. So I integrated logging to my self-hosted instance of https://ntfy.sh and added action buttons that would send the request for me. All of this just because I refused to use sockets.

First successes and why I'm happy about this After not too long, the bans were starting to happen. The traffic to my server decreased and I can finally breathe again. I may have over complicated this, but I don't mind. This was a really fun experience to write something new and learn more about log parsing and processing. Tabarnak probably won't last forever and I could replace it with solutions that are way easier to deploy and way more general. But what matters is, that I liked doing it. It was a really fun project - which is why I'm writing this - and I'm glad that I ended up doing this. Of course I could have just used fail2ban but I never would've been able to write all of the extras that I ended up making (I don't want to take the explanation ad absurdum so just imagine that I added cool stuff) and I never would've learned what I actually did.

So whenever you are faced with a dumb problem and could write something yourself, I think you should at least try. This was a really fun experience and it might be for you as well.

Post Scriptum

First of all, apologies for the English - I'm not a native speaker so I'm sorry if some parts were incorrect or anything like that. Secondly, I'm sure that there are simpler ways to accomplish what I did here, however this was more about the experience of creating something myself rather than using some pre-made tool that does everything I want to (maybe even better?). Third, if you actually read until here, thanks for reading - hope it wasn't too boring - have a nice day :)

[stiitch]

LiftMore Update 9.04.2023

I was posting updates on my Medium (see the pinned post), but lately I haven't had time to make a thorough post. Instead, I want to update on a few things in a more informal post here.

API Updates

Finally went through and added all of the endpoints I'll need. There are a few endpoints on this list that I'm still in the process of refining permissions and making more secure.

Unit Testing ...ayup.. I came this far into the project without writing a single unit test. I really do want to strive for best TDD practices, but when there's no code at all in my application, it feels really unsatisfying to start working on tests before my code is capable of doing anything. Moving forward in the project, I will definitely strive to do TDD well.

Security Currently, the API just processes users via Basic Authentication. In this upcoming week, I'm planning on creating an identity server and using that server to issue my own OAuth2.0 tokens. I'm not sure yet how I want to set up my IDP service and OIDC Identity Providers.

Deployments Before moving onto the Front-End for this project, I want to make sure that my app is as secure and robust as possible. For this, I want to create 3 different environments (Development, Test, and Production), use a secret manager to inject secrets into the application, and have all of my deployments automated with GitHub Actions. In addition to all this, I want to make sure my application is set up properly between GitHub Actions and AWS so that I can manage dashboards and collect usage/cost information before having any users.

Finally, I'm happy to say that I've acquired the domain name "liftmore.app". After I get through some of the things I mentioned here, I'll push out a landing page and more information of LiftMore from a user perspective in case anybody wants to use it :)

Lastly, little brief preview of my Project board in GitHub at the moment.

[nividawebsolutions]

20 Best Android Development Practices in 2023

Introduction: 

In today's competitive market, creating high-quality Android applications requires adherence to best development practices.  Android app development agencies in Vadodara (Gujarat, India) like Nivida Web Solutions Pvt. Ltd., play a crucial role in delivering exceptional applications.  This article presents the 20 best Android development practices to follow in 2023, ensuring the success of your app development projects.

1.     Define Clear Objectives:

Begin by defining clear objectives for your Android app development project.  Identify the target audience, the app's purpose, and the specific goals you aim to achieve.  This clarity will guide the development process and result in a more focused and effective application.

 2. Embrace the Material Design Guidelines:

Google's Material Design guidelines provide a comprehensive set of principles and guidelines for designing visually appealing and intuitive Android applications.  Adhering to these guidelines ensures consistency, enhances usability, and delivers an optimal user experience.

 3. Optimize App Performance:

Performance optimization is crucial for user satisfaction.  Focus on optimizing app loading times, minimizing network requests, and implementing efficient caching mechanisms.  Profiling tools like Android Profiler can help identify performance bottlenecks and improve overall app responsiveness.

 4. Follow a Modular Approach:

Adopting a modular approach allows for easier maintenance, scalability, and code reusability.  Breaking down your app into smaller, manageable modules promotes faster development, reduces dependencies, and enhances collaboration among developers.

 5. Implement Responsive UI Designs:

Designing a responsive user interface (UI) ensures that your app adapts seamlessly to various screen sizes and orientations.  Utilize Android’s resources, such as ConstraintLayout, to create dynamic and adaptive UIs that provide a consistent experience across different devices.

 6. Prioritize Security:

Android app security is of paramount importance.  Employ secure coding practices, authenticate user inputs, encrypt sensitive data, and regularly update libraries and dependencies to protect your app against vulnerabilities and potential attacks.

 7. Opt for Kotlin as the Preferred Language:

Kotlin has gained immense popularity among Android developers due to its conciseness, null safety, and enhanced interoperability with existing Java code.  Embrace Kotlin as the primary programming language for your Android app development projects to leverage its modern features and developer-friendly syntax.

 8. Conduct Thorough Testing:

Testing is crucial to ensure the reliability and stability of your Android applications.  Employ a combination of unit testing, integration testing, and automated UI testing using frameworks like Espresso to catch bugs early and deliver a robust app to your users.

 9. Optimize Battery Consumption:

Battery life is a significant concern for Android users.  Optimize your app's battery consumption by minimizing background processes, reducing network requests, and implementing efficient power management techniques.  Android's Battery Optimization APIs can help streamline power usage.

 10. Implement Continuous Integration and Delivery (CI/CD):

Adopting CI/CD practices facilitates frequent code integration, automated testing, and seamless deployment. Tools like Jenkins and Bitrise enable developers to automate build processes, run tests, and deploy app updates efficiently, resulting in faster time-to-market and improved quality.

 11. Leverage Cloud Technologies:

Integrating cloud technologies, such as cloud storage and backend services, can enhance your app's scalability, performance, and reliability.  Services like Firebase offer powerful tools for authentication, database management, push notifications, and analytics.

 12. Ensure Accessibility:

Make your Android app accessible to users with disabilities by adhering to accessibility guidelines.  Provide alternative text for images, support screen readers, and use colour contrast appropriately to ensure inclusivity and a positive user experience for all users.

 13. Optimize App Size:

Large app sizes can deter users from downloading and installing your application.  Optimize your app's size by eliminating unused resources, compressing images, and utilizing Android App Bundles to deliver optimized APKs based on device configurations.

 14. Implement Offline Support:

Provide offline capabilities in your app to ensure users can access essential features and content even when offline.  Implement local caching, synchronize data in the background, and notify users of limited or no connectivity to deliver a seamless user experience.

 15. Implement Analytics and Crash Reporting:

Integrate analytics and crash reporting tools, such as Google Analytics and Firebase Crashlytics, to gain insights into user behaviour, identify areas for improvement, and address crashes promptly. This data-driven approach helps in refining your app's performance and user engagement.

 16. Keep Up with Android OS Updates:

Stay up to date with the latest Android OS updates, new APIs, and platform features.  Regularly update your app to leverage new functionalities, enhance performance, and ensure compatibility with newer devices.

 17. Provide Localized Versions:

Cater to a global audience by providing localized versions of your app.  Translate your app's content, user interface, and notifications into different languages to expand your user base and increase user engagement.

 18. Ensure App Store Optimization (ASO):

Optimize your app's visibility and discoverability in the Google Play Store by utilizing appropriate keywords, engaging app descriptions, compelling screenshots, and positive user reviews.  ASO techniques can significantly impact your app's download and conversion rates.

 19. Follow Privacy Regulations and Guidelines:

Adhere to privacy regulations, such as GDPR and CCPA, and ensure transparent data handling practices within your app. Obtain user consent for data collection, storage, and usage, and provide clear privacy policies to establish trust with your users.

 20. Regularly Update and Maintain Your App:

Continuously monitor user feedback, track app performance metrics, and release regular updates to address bugs, introduce new features, and enhance user experience.  Regular maintenance ensures that your app remains relevant, competitive, and secure.

 Conclusion:

 Adopting these 20 best Android development practices in 2023 will help Android app development companies in India, create exceptional applications.  By focusing on objectives, embracing Material Design, optimizing performance, and following modern development approaches, your Android apps will stand out in the market, delight users, and achieve long-term success.  Also by partnering with an Android App Development Company in India (Gujarat, Vadodara) you can leverage their expertise.