#ai coding tools

[jamesmitchia]

The Future of Coding Starts Here: AI Tools Every Dev Should Know

In 2025, AI coding tools have moved from experimental assistants to everyday teammates. They're not taking over coding jobs—they're enhancing how we build software, making devs faster, smarter, and more creative.

🤖 AI isn’t replacing developers—it’s powering them.

🚀 𝐇𝐞𝐫𝐞’𝐬 𝐭𝐡𝐞 𝐭𝐨𝐩 𝐰𝐚𝐲𝐬 𝐀𝐈 𝐜𝐨𝐝𝐢𝐧𝐠 𝐭𝐨𝐨𝐥𝐬 𝐚𝐫𝐞 𝐫𝐞𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐝𝐞𝐯 𝐢𝐧 𝟐𝟎𝟐𝟓:

✅ 𝐂𝐨𝐝𝐞 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐢𝐨𝐧 & 𝐒𝐧𝐢𝐩𝐩𝐞𝐭 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 Tools like GitHub Copilot, Tabnine, and others instantly suggest functions, classes, and algorithms—saving endless typing and preventing syntax fatigue.

✅ 𝐏𝐫𝐨𝐦𝐩𝐭𝐚𝐛𝐥𝐞 𝐑𝐞𝐟𝐚𝐜𝐭𝐨𝐫𝐢𝐧𝐠 AI reviews your code for clean-ups: better naming, fewer bugs, and performance improvements. It even suggests tests—so your code is solid before deployment.

✅ 𝐒𝐦𝐚𝐫𝐭 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 & 𝐂𝐨𝐦𝐦𝐞𝐧𝐭𝐬 Auto-generated documentation and inline explanations follow best practices. No more stale README files or missing context.

✅ 𝐁𝐮𝐠 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 & 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐑𝐞𝐯𝐢𝐞𝐰 From catching potential null refs to identifying vulnerable dependencies, AI tools flag issues before they go live—greatly reducing costly production bugs and security risks.

✅ 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐘𝐬𝐞𝐫 𝐒𝐭𝐨𝐫𝐢𝐞𝐬 → 𝐂𝐨𝐝𝐞 Describe features in everyday English—AI spins it into boilerplate or even production-ready code tailored to your stack.

📌 𝐓𝐡𝐞 𝐁𝐢𝐠 𝐏𝐢𝐜𝐭𝐮𝐫𝐞: 2025’s AI coding tools are your pair-programmer, code reviewer, documentation lead, and QA tester—all in one. The result? Developers spend less time debugging and more time designing, innovating, and building meaningful software.

🔗 Read More: https://technologyaiinsights.com/

📣 About AI Technology Insights (AITin): AI Technology Insights (AITin) is the fastest-growing global community of thought leaders, influencers, and researchers specializing in AI, Big Data, Analytics, Robotics, Cloud Computing, and related technologies. Through its platform, AITin offers valuable insights from industry executives and pioneers who share their journeys, expertise, success stories, and strategies for building profitable, forward-thinking businesses. 📍 𝐀𝐝𝐝𝐫𝐞𝐬𝐬: 1846 E Innovation Park DR, Ste 100, Oro Valley, AZ 85755 📧 𝐄𝐦𝐚𝐢𝐥: sales@intentamplify.com 📲 𝐂𝐚𝐥𝐥: +1 (845) 347-8894

[olivergisttv]

The Rise of AI Coding Assistants: Are They Reliable?

Ever felt stuck staring at a blinking cursor, wondering how to solve a coding problem? You’re not alone. That’s where AI coding assistants come in — smart tools designed to help developers write, understand, and improve code faster than ever before. But are they truly reliable, or just the latest tech trend? Let’s dive in. The Rise of AI Coding Assistants: Are They Reliable? What Are AI Coding…

[codingmoney]

How to Use AI Tools for Coding - Top AI Coding Agents Tutorial for Begin...

[scriptclonelab]

AI for Writing Code: Key Tools, Advantages, and What You Need to Know

Artificial Intelligence (AI) has transformed many industries, and software development is no exception. With the advent of AI coding tools, developers can now write, debug, and optimize code faster than ever. These tools are designed to assist coders by automating repetitive tasks, reducing manual effort, and enhancing productivity. If you’re a coder or a company looking to streamline your development process, leveraging the best coding AI tools can be a game-changer. AI technology is not just about speed; it also improves the accuracy and quality of the code being written.

This article explores the key tools, advantages, and essential information you need to know about using AI for writing code. From understanding their capabilities to choosing the best AI tool for coding, we will cover everything you need to stay ahead in the software development world.

The Rise of AI in Coding

The evolution of AI in coding has been swift. It started with simple syntax suggestions and has grown into full-fledged AI coding assistants capable of understanding and generating complex programming logic. These tools have changed the way developers approach coding by offering insights, suggestions, and solutions tailored to their specific needs. They use machine learning algorithms to analyze millions of lines of code, enabling them to recommend efficient and optimized solutions.

Whether you’re a beginner or an experienced developer, using the best AI for writing code ensures efficiency and minimizes errors. With advanced AI coding tools, developers can save significant time and focus on more innovative aspects of their projects. These tools are not just helpers but essential partners in modern software development.

Advantages of AI for Writing Code

Enhanced Productivity

AI coding tools can automate repetitive tasks, freeing up developers to focus on more complex and creative aspects of software development. By utilizing the best AI tools for coding, teams can cut down on development time significantly. This increased efficiency allows for faster project completions and the ability to take on more challenging coding endeavors. Developers can also use these tools to prototype ideas more quickly and refine their workflows.

Error Detection and Debugging

AI excels at identifying bugs and potential vulnerabilities. Tools like these can scan your code for errors, suggest fixes, and even prevent mistakes from occurring in the first place. This proactive approach to error detection ensures that your code is more robust and less prone to issues. As a result, developers spend less time troubleshooting and more time building innovative solutions.

Learning and Skill Enhancement

AI coding assistants are especially useful for novice programmers. They provide suggestions and explain concepts, helping developers learn as they code. By using the best AI coding assistant, beginners can quickly grasp advanced coding techniques and industry best practices. These tools bridge the gap between theory and practical application, making them invaluable for education and skill development.

Cross-Language Support

The best AI tools for coding often support multiple programming languages, making them versatile for developers working on diverse projects. Whether you're coding in Python, JavaScript, or C++, AI tools can adapt to your needs. This versatility allows developers to work across various platforms without needing to master every language individually.

Cost Efficiency

By reducing the time and resources spent on manual debugging and development, AI tools help organizations save money and improve project delivery timelines. Small businesses and startups, in particular, benefit from the affordability and capabilities of these tools. Investing in the best AI tool for coding is a cost-effective way to enhance your team’s capabilities.

Key AI Tools for Writing Code

The market is brimming with AI coding tools, each offering unique features tailored for specific needs. These tools are built to cater to coders of all skill levels, from novice learners to seasoned professionals. Here are some highlights:

AI Code Generators

These tools can generate entire blocks of code based on a simple input. They are perfect for quickly prototyping or completing standard functions. For example, a developer can input a description of a function, and the tool will produce a working code snippet. This makes the best AI coding assistant an essential part of any developer's toolkit.

Debugging Assistants

The best AI coding assistants come equipped with debugging capabilities, providing real-time suggestions for resolving errors. These tools not only identify bugs but also offer insights into why they occur, enabling developers to learn from their mistakes. By incorporating these tools into your workflow, you can ensure a smoother development process.

Code Optimization Tools

Optimize your existing code for better performance and scalability with tools designed to suggest improvements in logic or structure. These tools are ideal for refining codebases and making them more efficient. The best AI tools for coding take optimization to the next level by considering factors like runtime and memory usage.

Integrated Development Environment (IDE) Plugins

Many best AI tools for coding integrate seamlessly with popular IDEs, offering in-editor suggestions, autocomplete features, and error detection. These plugins enhance the developer experience by providing context-aware recommendations. They also help maintain consistency across projects by adhering to predefined coding standards.

AI for Collaboration

For teams, AI-powered tools facilitate better code reviews, ensuring adherence to standards and consistency across projects. These tools streamline the review process, enabling faster approvals and deployments. With the best AI for writing code, teams can work more cohesively and efficiently.

How to Choose the Best AI Tool for Coding

When selecting an AI coding assistant, keep the following in mind:

Compatibility

Ensure the tool supports the programming languages and frameworks you use most frequently. A versatile tool will adapt to your specific needs, ensuring seamless integration into your workflow. This flexibility is essential for maintaining productivity and efficiency.

Ease of Use

The best AI coding assistant should integrate smoothly into your existing workflow, whether as a standalone tool or a plugin. It should be intuitive and easy to navigate, ensuring that even beginners can use it effectively. User-friendly interfaces make adoption quicker and more successful.

Features and Functionality

Look for tools that not only assist in writing code but also offer debugging, optimization, and collaborative features. These functionalities ensure a comprehensive coding experience. The best AI tools for coding often combine multiple features into one package, making them highly valuable.

Security and Privacy

Choose a tool that prioritizes data security, especially when dealing with sensitive or proprietary code. Robust encryption and compliance with industry standards are critical. Trustworthy AI coding tools will ensure your projects remain confidential and secure.

Cost-Effectiveness

Many of the best AI for writing code options come with free or affordable pricing tiers, making them accessible to developers and businesses of all sizes. Evaluate the features against the cost to determine the best value for your investment. These tools often pay for themselves by improving productivity and reducing errors.

Use Cases of AI Coding Tools

Startups and Small Teams

For small teams with limited resources, the best AI tools for coding can level the playing field by providing capabilities that would otherwise require larger teams. These tools allow startups to compete with established players by accelerating development timelines. They also help maintain quality standards, even with tight budgets.

Enterprise Development

Large organizations can leverage AI to automate routine tasks, ensuring their teams focus on high-impact projects. The best AI tool for coding ensures scalability and consistency across large codebases. Enterprises can also use AI to facilitate collaboration among global teams.

Education and Training

Coding bootcamps and educational institutions use AI to teach programming more effectively, offering students hands-on assistance as they learn. By using the AI tools for non-coders, instructors can provide real-time feedback and personalized guidance. This approach makes learning more interactive and engaging.

Freelancers and Solo Developers

Independent developers benefit greatly from AI coding assistants that help them maintain high productivity without needing a team. These tools act as virtual partners, providing support and suggestions on-demand. For freelancers, the best AI for writing code can mean the difference between meeting deadlines and exceeding expectations.

What the Future Holds for AI in Coding

As AI continues to advance, the possibilities in coding are endless. We can expect even smarter tools that understand context, predict user intentions, and offer real-time collaboration features. Future AI coding assistants may even evolve to handle entire project lifecycles, from planning to deployment.

The integration of AI into coding is not about replacing developers but empowering them to create more efficiently and innovatively. Developers who embrace the best AI tools for coding will find themselves at the forefront of the industry. These tools are rapidly becoming indispensable for maintaining a competitive edge in software development.

FAQs

How do AI tools help with coding?

AI tools assist developers by providing autocomplete suggestions, detecting errors, debugging, and even generating full code snippets based on natural language inputs. They simplify the development process and enable coders to achieve more in less time.

Which are the best AI tools for coding?

Some of the best coding AI tools include those integrated into popular IDEs, AI code generators, and debugging assistants. The choice depends on your specific needs and workflow.

Are AI coding assistants reliable for professional use?

Yes, many best AI coding assistants are designed for professional environments and are equipped with advanced features to meet industry standards. They are widely used in enterprise environments for their reliability and efficiency.

Can AI tools replace human coders?

No, AI tools are meant to augment human capabilities, not replace them. They help streamline processes and improve accuracy but require human oversight for creativity and critical thinking.

What are the limitations of AI coding tools?

While powerful, AI tools may struggle with complex logic, context understanding, or creative problem-solving, which require human intervention. Developers should use these tools as aids, not substitutes, for their expertise.

[mindfusionevents]

How Click-Coder Uses Machine Learning to Boost Coding Speed and Accuracy

The landscape of coding is evolving rapidly, thanks to the introduction of machine learning (ML) and artificial intelligence (AI) tools. One significant player in this revolution is Click-Coder, an innovative AI-powered platform that assists developers by improving their coding efficiency and accuracy. In this article, we’ll explore how Click-Coder utilizes advanced machine learning techniques to streamline coding processes, providing insights into the best AI tools for coding available today.

Introduction to Click-Coder

In recent years, the demand for more efficient coding has increased dramatically. Traditional coding methods, while powerful, are often time-consuming and prone to human error. Click-Coder offers a solution by incorporating machine learning into the coding environment, allowing developers to produce high-quality code at a faster pace. Recognized as one of the best AI tools for coding, Click-Coder’s machine learning algorithms can analyze code, predict errors, and even suggest solutions, ensuring developers maintain productivity and accuracy.

The Role of Machine Learning in Coding

Machine learning enables software to analyze patterns within data and improve from experience without being explicitly programmed. When applied to coding, ML algorithms can scan through millions of lines of code, identify patterns, and detect potential bugs or areas for optimization. Click-Coder leverages machine learning in various ways, making it a contender for the best AI tool for coding.

Key Features of Click-Coder

Click-Coder stands out for its extensive features designed to support and enhance the coding process. Here are some of its most prominent functionalities:

Code Prediction and Auto-Completion

Click-Coder uses machine learning to anticipate the next lines of code based on the developer's previous entries, reducing typing time and enhancing workflow. As one of the top AI coding tools, it can predict code structures, suggest variable names, and complete code snippets, making it easier for coders to focus on complex logic rather than repetitive syntax.

Error Detection and Debugging Assistance

Click-Coder’s machine learning algorithms can automatically identify and highlight potential bugs and syntax errors. Unlike traditional debugging tools, this AI-driven functionality provides developers with real-time suggestions to fix errors, making it one of the best AI tools for coding error-free software.

Code Optimization Recommendations

Click-Coder doesn’t just help developers write code—it also helps optimize it. By analyzing patterns and common practices, Click-Coder suggests ways to streamline code, improve efficiency, and reduce memory usage, creating cleaner and more efficient scripts.

Natural Language Processing (NLP) for Documentation and Comments

Understanding and maintaining code is much easier when it’s well-documented. Click-Coder uses natural language processing (NLP) to help developers generate explanatory comments and documentation, enhancing collaboration and code readability.

Benefits of Using Click-Coder for Coding

The integration of Click-Coder into the coding environment provides several advantages, especially for both seasoned developers and beginners. Here are some key benefits:

Increased Coding Speed

With features like code prediction and auto-completion, Click-Coder enables developers to write code at a faster pace. Machine learning algorithms identify patterns and anticipate code, allowing developers to bypass mundane tasks and focus on core logic.

Enhanced Code Accuracy

One of the greatest challenges in coding is avoiding bugs and errors. Click-Coder’s AI-driven debugging and error detection capabilities ensure that developers are notified of potential errors in real time, reducing the likelihood of bugs going unnoticed.

Improved Collaboration and Documentation

Click-Coder’s NLP functionality helps generate clear and concise comments, making code more readable for team members. This is particularly useful for large-scale projects where multiple developers are involved, as it keeps the code organized and comprehensible.

Better Code Optimization

By providing suggestions on optimizing code, Click-Coder helps developers create faster, more efficient applications. The AI tool examines code structure, pinpointing areas where the logic can be improved or memory usage minimized.

How Click-Coder Stands Out Among the Best AI Tools for Coding

While there are many AI tools available for coding, Click-Coder has carved out its place as one of the best AI tools for coding due to its comprehensive features and user-friendly interface. By using machine learning, it adapts to each developer’s coding style, enhancing productivity and coding accuracy. AI coding tool for seasoned coders like Click-Coder provide a robust platform that not only predicts code but also detects errors and optimizes efficiency. This makes Click-Coder as a reliable assistant, allowing experienced developers to focus on higher-level tasks while the tool handles routine coding aspects.

Other AI tools in the market may offer some of these features, but Click-Coder’s integration of multiple machine learning functions into a single platform makes it an all-encompassing solution. Whether it’s predicting code, detecting errors, or optimizing efficiency, Click-Coder serves as a reliable assistant to coders, making it one of the best AI tools for coding in today’s tech-driven world.

The Future of AI in Coding with Click-Coder

As the coding landscape continues to evolve, AI-powered tools like Click-Coder will become increasingly essential. The ability to write, analyze, and optimize code with the assistance of machine learning has the potential to reshape the coding process entirely. Click-Coder is at the forefront of this transformation, constantly updating and refining its machine-learning algorithms to better serve developers’ needs.

With time, we can expect more sophisticated features from Click-Coder, potentially including support for multiple programming languages, personalized coding styles, and integration with other development tools. By staying innovative and adaptable, Click-Coder continues to set the benchmark among the best AI tools for coding.

Conclusion

Click-Coder exemplifies the best of AI technology in coding by combining machine learning algorithms with powerful tools that make coding faster, more accurate, and more efficient. From real-time error detection to advanced code prediction, Click-Coder provides developers with everything they need to excel. As one of the best AI tools for coding, Click-Coder is paving the way for a more automated, efficient, and error-free coding experience.

FAQs about Click-Coder and AI Coding Tools

What makes Click-Coder one of the best AI tools for coding?

Click-Coder offers comprehensive features, including code prediction, error detection, and optimization recommendations, all powered by machine learning. These features streamline coding and improve accuracy, making it a top choice for developers.

Can Click-Coder help me find and fix coding errors?

Yes, Click-Coder uses machine learning algorithms to detect errors in real time and provide suggestions for fixes. This feature helps developers catch and correct mistakes quickly, ensuring cleaner, error-free code.

How does Click-Coder improve coding speed?

Click-Coder’s code prediction and auto-completion features reduce the need for repetitive typing, allowing developers to code faster. It also anticipates the next lines based on context, enabling a smoother workflow.

Is Click-Coder suitable for beginner coders?

Absolutely. Click-Coder’s intuitive interface and real-time guidance make it accessible for beginners, while its advanced features appeal to experienced developers. It’s designed to support all skill levels in the coding process.

How does Click-Coder compare to other AI coding tools?

Click-Coder stands out by offering a full suite of machine learning-driven tools in one platform, covering code prediction, error detection, and optimization. Its holistic approach makes it one of the best AI tools for coding on the market.

In Summary

With Click-Coder, developers are empowered to achieve higher productivity and accuracy in their coding. By leveraging the latest in machine learning, Click-Coder is transforming the future of coding, providing one of the best AI solutions for developers everywhere.

[oneaichat]

How Authors Can Use AI to Improve Their Writing Style

Artificial Intelligence (AI) is transforming the way authors approach writing, offering tools to refine style, enhance creativity, and boost productivity. By leveraging AI writing assistant authors can improve their craft in various ways.

1. Grammar and Style Enhancement

AI writing tools like Grammarly, ProWritingAid, and Hemingway Editor help authors refine their prose by correcting grammar, punctuation, and style inconsistencies. These tools offer real-time suggestions to enhance readability, eliminate redundancy, and maintain a consistent tone.

2. Idea Generation and Inspiration

AI can assist in brainstorming and overcoming writer’s block. Platforms like OneAIChat, ChatGPT and Sudowrite provide writing prompts, generate story ideas, and even suggest plot twists. These AI systems analyze existing content and propose creative directions, helping authors develop compelling narratives.

3. Improving Readability and Engagement

AI-driven readability analyzers assess sentence complexity and suggest simpler alternatives. Hemingway Editor, for example, highlights lengthy or passive sentences, making writing more engaging and accessible. This ensures clarity and impact, especially for broader audiences.

4. Personalizing Writing Style

AI-powered tools can analyze an author's writing patterns and provide personalized feedback. They help maintain a consistent voice, ensuring that the writer’s unique style remains intact while refining structure and coherence.

5. Research and Fact-Checking

AI-powered search engines and summarization tools help authors verify facts, gather relevant data, and condense complex information quickly. This is particularly useful for non-fiction writers and journalists who require accuracy and efficiency.

Conclusion

By integrating AI into their writing process, authors can enhance their style, improve efficiency, and foster creativity. While AI should not replace human intuition, it serves as a valuable assistant, enabling writers to produce polished and impactful content effortlessly.

[isat-script-project]

Your amazing work here has inspired me to want to try doing a script project for DQB2 and I was wondering if you had any advice for me?

I'm gonna assume that's some sorta dragon quest game?

Well, ISAT really is a blessing in this regard, because the game is not encrypted at all. Accessing files and all text via rpgmaker MV and VSC is incredibly easy.

okay this got really long i'm putting it under the cut.

But before you get started, there really are some things you need to ask yourself first:

How am I going to get the text from this game?

If your answer is "write it down by hand as I play" then already know that there HAS to be a better way. If you're choosing that method, get yourself emulation, save states, or endless patience, because hooh boy, I've done a little bit of that for a different project (no, I will not elaborate) but save scumming on original hardware to get different dialogue options is agony.

Is there a text dump for your game? Is there a file dump or decomp for your game? Do you have the technical know how to access it? If not, are you confident in your knowledge of the game to accurately identify where all dialogue may occur? If not, are you satisfied missing out on nothing lines and just focusing on the non-optional? Is your game linear enough to not need a closer look at the code to figure out what happens when, as isat does?

2. What's my scope?

Again, do you truly want every line from this game, or just what's "important"? I personally cannot rest until I've exhausted the fucking Menus (which is why there's a script page for those, too) because I'm a completionist with delusions of grandeur, but some people are satisfied transcribing the cutscenes and nothing else (MUCH TO MY ANNOYANCE WHEN I NEED THE OTHER STUFF.... nobody cares about the optional collectible npc dialogue BUT I CARE!!! I CARE!!!!!)

Anyways, what exactly your scope is is gonna significantly influence what your next step looks like.

3. How am I going to present this?

Making the isat script project an individual website mainly came down to how finicky the dialogue in isat is. There's conditionals stacked on conditionals and I wanted a space where I had total control over how to present these factors without influence.

For more linear games, like, say, that time I made all the fewiki scripts for Fire Emblem 6 from chapter 12 onward, it was easy enough to present the scripts on a wiki page just because the game is much more linear, there's less dialogue to begin with, and all conditional text could be nicely divided up into similar groups, like boss dialogue where the condition is just "fight boss with x character".

isat script project would not exist without my fire emblem fixation, fun fact. other fun facts include that as a child i attempted to novelize Mario Party DS by transcribing all story mode text into a booklet by hand, and I did not finish this for reasons that are hopefully obvious.

This is, as you may figure, way easier to do. There is significantly less burden on you to actually understand how a website works - I cannot stress enough that the current state of the script project is only possible thanks to Gold, and without them, we'd still be at all dialogue being formatted as <p><b>Siffrin:</b> Says some text.</p>

For a lot of older games, you can also find whole game scripts being put up into a single document. Tis common on gamefaqs, I've used those plenty. There I believe you're just working with plain ol txt.

The rule is always though look at examples and if they do something cool figure out whether you can copy it. i did not create the website layout myself, i used a base and fiddled with it for a whole weekend until it stopped exploding.

Again, like, using an existing structure like a wiki or gamefaqs or just google docs or a spreadsheet is a significantly eased burden. One of my favorite things ever is actually a text dump on github, of all places. For this one, the person putting it up chose to leave all text in as close to original state as possible, doing no trimming of things like character emotes and leaving in all original string titles of every line. This is also incredibly useful, even if it is more difficult to use for your average schmoe! (This has fucking saved me doing wiki stuff for engage. engage text dump i ADORE you)

Do you want to be as accurate to the code as possible, or as accurate to the game? Do you have the time, energy, and skills to make the visual presentation nice? Or do you want to keep it rudimentary to streamline your process?

If you ARE doing something like making your own website, it is crucial that you figure out your visuals early, lest you be like us, and be stuck in Reformatting Hell for several months, because someone figured out how to make a thing prettier and nicer to read, and now you need to update the 100+ pages you've already created.

Reformatting code like that takes just as long as making a page in the first place, by the by, because you're just not getting around copy-pasting everything line by agonizing line.

This stuff takes HOURS. If I went at it alone, I doubt I'd have finished by now, or within the next like, two years. This is a really time consuming hobby, and I love doing it a lot, it scratches my exact fixation itch, but if your game is huge, consider seeing if people would be interested in joining you? I will also say being autistic about your game of choice is also a bonus in the sustainability department.

Many a times there were just no updates (as they are now) cuz I am just. Distracted by something else. Like yes on one hand I'm going to uni now and have less time but it's not really less time if I can still put 17hrs into a new video game in three days.

Stuff like this is ALWAYS a long-term project and you WILL need to take time off from it or else you'll start seeing html in your dreams and get burnout.

STREAMLINE YOUR PROCESS!!! FIGURE OUT HOW TO DO THIS WITH AS LITTLE EFFORT AS POSSIBLE!!!! Gold introduced me to Espanso, which is a program that lets you set up keyboard shortcuts to insert phrases, which was a MAAAAAASSIVE time saver in the html department, as it allowed me to just rapid fire paste in all the many html classes we stacked for the presentation of the site. even if you are doing a script on a wiki where everything does look like ['''Siffrin:''' says a thing] you will still be doing yourself a favor if you can shorten that '''Siffrin:''' to just typing :s .

As a side note, I also wanna say like. The popularity of isat script project is a complete outlier. Other game scripts may be used by a maniac like me to overanalyze the plot structure of Sonic 06, but you're very likely not going to see that recognition. I love doing this, because I want these resources to exist for myself. I don't do this for the good of the fandom, but because it is useful to me. I started this because I was writing isat fanfic, and got tired of looking up dialogue on youtube or booting up my own game.

Do I know if anyone found my FE6 scripts useful? No. Do I know if anyone is going through Veyle/Quotes and appreciating that I transcribed all the fucking battle voice clips? No. Do I know if someone appreciates me accurately labelling all voice lines from the ring polishing minigame in engage? Hell no. I don't know, I'm never going to get feedback on that. Those are wiki pages, anyone can edit them, they don't have viewcounts or comments I can look at, and the fandom just isn't as prone to taking screenshots and posting about them line by line as isat.

Isat blew the fuck up on tumblr. I'm not saying you'll get no recognition at all, but if you are relying on external motivators, you are probably going to peter out. There are pages I've worked on for other script things that I've genuienly not touched in two years because I just didn't feel like it, and that's also okay.

TLDR:

Figure out how to get the text you need with the least effort possible (and figure out whether doing that is even possible at all!), figure out what scope you're actually willing to put up with, and present it with the least effort possible, because everything else just isn't sustainable. Streamline streamline streamline. Be prepared to spend hours on this and maybe like find a new favorite podcast to just copy paste text to, because honestly, doing this is also pretty zen.

And most importantly, sparkle on, don't forget to have fun! Even if it seems big and intimidating, you can still make it just a fun side project, and slowly chip away at it over time. Rome wasn't built in a day, and with all the advantages going for isat script project (additional manpower, unencrypted files, easy tools for game examination) it still took over a year to complete.

(loop voice) Don't make the same mistakes I did, okay?

oh, yeah, one last thing, if you're not putting it on a wiki and ARE making your own website, ABSOLUTELY PUT IT ON GITHUB!!!! setting up so any changes to the main branch on github get reflected onto neocities is pretty easy and you only need to do it once, and what this allows is to just have random strangers show up and fix your problems for you. sometimes someone will just show up and fix five bajillion typos and then leave. or they'll stick around and help with more stuff and wowie you have a semblance of a team now.

if you're doing it on a wiki, find like, the wiki discord, if someone is interested in chipping in. if you're doing your own website, put it on github. do it. do it do it do it.

[wahoo-stomp]

I spent five years coming up with unique ways to photograph the same group of plushies to help tell a story.

You don't need AI to help you be creative, you're just being lazy and want brain chemicals without doing any of the work or respecting the people who put time and effort into it.

[youling-the-ghost]

I've been reading up on NLP, which is basically a type of AI that deals with understanding and generating natural human speech, and I can't help but picturing it as a little autistic kid.

like it has to form an algorithm to understand the underlying intentions of humans' words? it has to deliberately separate speech into smaller chunks and process them individually? it gets confused when words have ambiguous meanings? it struggles with idioms and proverbs? it tends to take things too literally? tell me that's not an autistic child trying to communicate with others.

[vagueiish]

we need another term than "artist" (even in mock quotes) to refer to people who use ai to make art. like. it's more akin to commissioning someone else than it is making art yourself, lmao, you're not an artist if you're asking someone else to make your art for you???

[communistkenobi]

coding followers. if someone tells you that they use chatgpt to solve coding errors they get, should you trust that person’s code

[learn-ai-free]

How to Build Custom AI Agents in Minutes Using Chai (Vibe Code)

Most business teams are still struggling to push the idea of an AI agent from the whiteboard to production—Why? The majority of professionals are non-technical and do not have a deep understanding of what goes on behind the scenes.

What is Chai by Langbase? 📌

Chai by Langbase is a prompt‑first service that builds, deploys, and scales AI agents straight from plain English. In much simpler terms, Chai can build AI agents for you. Users can vibe code production-ready AI agents within minutes after entering the prompt/ agent idea.

What sets Chai apart? 📌

Langbase describes Chai with three simple verbs—"Prompt. Sip. Ship," which literally means enter a prompt for your agent, sip chai tea while it vibe codes the agent for you, and ship it to your clients.

How to Build Custom AI Agents in Minutes Using Chai (Vibe Code) 📌

Step 1️⃣: Visit Chai.new.

Step 2️⃣: Enter a prompt for the AI agent.

Step 3️⃣: Chai will start by thinking and creating an overview of the AI agent.

Step 4️⃣: Deploy the AI agent.

↗️ Full Read: https://aiagent.marktechpost.com/post/how-to-build-custom-ai-agents-in-minutes-using-chai-vibe-code

[bloghamper]

Top AI Tools | Coding Guides | Latest Tech Tips

Discover top AI tools, practical coding guides, and the latest tech tips on BlogHamper. Stay ahead in the digital world with expert insights.

[samsalems]

Provider: okay let me show you how to write an automated task in the software

Me: [Nods]

Provider: so first you open the ai and tell it what you want...

Me:

[smilyboyy]

🚀 I Built AutoFillix – A Smart Chrome Extension to Autofill Forms Instantly

Like many developers, I was tired of filling out the same details over and over — name, email, phone number — every time I submitted a job form, Google Form, or sign-up page.

So I built AutoFillix, a smart and secure Chrome extension that:

Autofills common fields (name, email, phone, etc.)

Works on Google Forms and regular web forms

Stores your data locally (no login, no cloud)

Is completely free and easy to use

🔐 Why it’s different:

AutoFillix respects your privacy. Your data stays in your browser — nothing is sent to a server.

🧩 Try It Out:

👉 Install AutoFillix from the Chrome Web Store

💬 Feedback Welcome:

This is just the beginning! If you have suggestions or ideas, feel free to comment. 😊

[pyrosomatic-metamorphosis]

once again furious at how AI has been implemented and fucking. hyped up and goddamn bullshit. the way its being used to steal creative works and fuck with artists and create porn of real people is fucking NASTY. but god fucking damnit it could be so useful. fucking. ai voice reader for my stupid incomprehensible textbooks where the voice isn't datamined against the person's will. ai npcs that didn't steal their fucking data. ai routine builders that can learn a person's typical day and preferences and help build checklists for people who struggle w tasks. they could be SO USEFUL. but no. no. we can't have useful things. improving lives??? nahhhhhh we've gotta make Pretty Pictures and Steal Fucking Everything to do it