#Code Snippet

[aiweirdness]

“Slopsquatting” in a nutshell:

1. LLM-generated code tries to run code from online software packages. Which is normal, that’s how you get math packages and stuff but

2. The packages don’t exist. Which would normally cause an error but

3. Nefarious people have made malware under the package names that LLMs make up most often. So

4. Now the LLM code points to malware.

https://www.theregister.com/2025/04/12/ai_code_suggestions_sabotage_supply_chain/

[bloglogicaldottech]

Mastering Code Snippets in WordPress: 11 Expert Tips for Safe and Effective Use

Code snippets are a powerful way to extend and customize WordPress functionality without the need for full-fledged plugins. However, using code snippets incorrectly can lead to site breakage, security vulnerabilities, and maintenance headaches. In this article, we'll explore 11 expert tips for safely and effectively leveraging code snippet plugins in WordPress.

What Are Code Snippet Plugins and Why Use Them?

Code snippet plugins allow you to add custom PHP, CSS, JavaScript, and HTML code to your WordPress site without directly editing theme or core files. This approach offers several benefits:

Easily enable/disable code snippets

Avoid modifying core files, which can cause issues during updates

Keep custom code organized and manageable

Some popular code snippet plugins include Code Snippets, WPCodeBox, and Insert Headers and Footers.

11 Expert Tips for Safe and Effective Code Snippet Use

1. Always Use a Child Theme

When adding code snippets that modify theme functionality or appearance, always use a child theme. This ensures your customizations aren't overwritten during theme updates.

2. Backup Your Site Regularly

Before adding or modifying code snippets, ensure you have a recent backup of your WordPress site. This allows you to quickly restore your site if something goes wrong.

3. Use Meaningful Names and Descriptions

Give your code snippets clear, descriptive names and include comments explaining their purpose. This makes managing and troubleshooting snippets much easier.

4. Follow WordPress Coding Standards

Adhere to the official WordPress coding standards when writing code snippets. This improves readability and maintainability, especially if others may work on your site in the future.

5. Test Snippets Thoroughly

Always test code snippets on a staging or local development site before deploying to your live site. Verify the snippet works as intended and doesn't introduce errors or conflicts.

6. Use Conditional Tags Appropriately

Leverage WordPress conditional tags to control where and when code snippets are executed. This can help optimize performance and avoid unintended consequences.

7. Minimize Plugin Conflicts

Be aware of potential conflicts between code snippets and other plugins or theme functions. If a conflict arises, try to identify the cause and find an alternative solution.

8. Keep Snippets Organized

Use categories, tags, or folders within your code snippet plugin to keep your snippets organized and easily searchable. This is especially helpful as your library of snippets grows over time.

9. Regularly Review and Update Snippets

Periodically review your active code snippets to ensure they are still necessary and functioning correctly. Update or remove snippets as needed to keep your site lean and efficient.

10. Document Your Customizations

Maintain a separate document or use a plugin like WP Readme that records all customizations made to your WordPress site, including code snippets. This serves as a valuable reference for future maintenance and troubleshooting.

11. Know When to Seek Professional Help

If you're unsure about implementing a particular code snippet or encounter issues beyond your skill level, don't hesitate to seek help from an experienced WordPress developer.

Frequently Asked Questions

What is the best WordPress plugin for adding code?

While there are several excellent options, Code Snippets is widely considered one of the best WordPress plugins for adding code. It offers an intuitive interface, easy management of snippets, and a robust feature set suitable for both beginners and advanced users.

Can I use code snippets instead of plugins?

In some cases, yes. If the functionality you need is relatively simple and doesn't require frequent updates, a well-crafted code snippet can be a lightweight alternative to a full plugin.

How do I prevent code snippets from breaking my site?

Following best practices like using a child theme, testing thoroughly, and keeping regular backups can minimize the risk of code snippets causing issues on your live site. When in doubt, consult with a professional developer.

Conclusion

Code snippet plugins offer a powerful way to extend and customize WordPress, but it's crucial to use them responsibly. By following these 11 expert tips and best practices, you can safely and effectively leverage code snippets to take your WordPress site to the next level without compromising its integrity or performance.

[devlmntl]

[seoulmatez]

“these are for you, lesser lord kusanali!” you kneel down to gift the archon the flower arrangement you made for her the night before. “thank you so much for coming to see the performance.”

the imposing presence beside her doesn’t go unnoticed.

“i brought you some, too.” your smile doesn’t falter when you turn to face the wanderer, slowly standing up and holding out the second bouquet you had put together in anticipation of today.

his fingers twitch at his side. you brought something… just for him? his lips curl downward as he tries to imagine just why you’d go and do something like that. perhaps it’s a mocking gesture, a show of pity, something of the sort. but the smile you’re wearing makes the answer clear—it’s the same reason you gifted them to nahida, because you’re simply happy to have seen him.

he takes the flowers from your hold, rotating the collection bound by a pink ribbon in his hand. soon, violet eyes like the night sky are staring deeply into yours. “i have no use for these.”

the words scratch at your heart like a cat’s claw—quick and painful, but you try to ignore the way it stings.

“oh, well, you don’t have to keep them.”

you reach out to take the flowers back but the gloved hand tightens around the bunch of stems, and you’re almost certain that the wanderer pulls the bouquet closer to his chest. “it’s rude to ask for gifts back, is it not?”

“i suppose you’re right.” the scratch he left behind on your heart is quickly bandaged, the lingering sting disappearing like it was never there to begin with. you can’t help but smile, let hope sprout in your heart at the thought that maybe you’re making your way into his. “in that case, i hope you find some use for them.”

[sandwichmustbetasty]

i'm crying

whattt 😭😭😭

he's like what the hell, no way

trying very hard not to be tempted

his gossip girl scholar's soul could not let that rest, he just needs to know

cirdan knows how to pique his interest

elrond's mad and doesn't really want to talk to you?

*holds out a piece of juicy information*

elrond has been summoned

you may talk in the exchage of juicy gossip

screaming

it just keeps getting better and better

daeron an insufferable whiny bitch confirmed

[mayxo-hxh]

hxh taught me a lot about what it truly means to have experience in your area of expertise.

this is what having experience in the field means. They figured out so much in only so little and immediately took measures against it. this fight is so good... shows u how insane the zoldycks are

even chrollo was like damn chill!!

[louroth]

All this nervous energy just running off of you as long as you. keep. moving. The adrenaline feels lovely as it surges, past the last set, into another, and a third— you're going for failure, aren't you?

Always.

It is not enough to coast the high of enough. It has to be more. There has to be the tenuous sigh of relief as your body scrambles to survive within the frame you've made for it. Just one more. Another.

The weights fall to the floor with a clatter and your mouth splits into a wide grin of approval as everything— your vision, your limbs, your spirit— trembles, quakes: the good kind of exhaustion. The ceiling is the loveliest view you've ever seen— you did it. The something you can do. Colors dull in comparison to it. As you lay on the mat, tracing worms of fracturing color that twitch with your heightened breath, a face steps in, swirling your vision into whirls of lights and traces of sweat. A smirk, a raised eyebrow— distant, not staring, but aware. He hefts his own weight. Flicks his focus to your red, flushed face. Meets your eyes for a fraction of a second before curling the iron once more.

"A sight for sore eyes."

You, at a lack for words, trace an eye over his form. He rolls his lips. You flick a brow.

And that is all there is to it.

[sunnydbeam]

Hi can we have some snippets?

No context :]

Also, I won't be tagging this as suggestive, please don't see it that way.

[jcmarchi]

📝 Guest Post: I Built a Deep Research with Open Source – and So Can You!

New Post has been published on https://thedigitalinsider.com/guest-post-i-built-a-deep-research-with-open-source-and-so-can-you/

📝 Guest Post: I Built a Deep Research with Open Source – and So Can You!

In this guest post, Stefan Webb, Developer Advocate at Zilliz, builds a lightweight “Deep Research” clone using open-source tools. With Milvus, DeepSeek, and LangChain, he prototypes an agent that can reason, plan, retrieve from Wikipedia, and write a basic report – all in a few hours, no API calls needed.

Well actually, a minimally scoped agent that can reason, plan, use tools, etc. to perform research using Wikipedia. Still, not bad for a few hours of work…

Unless you reside under a rock, in a cave, or in a remote mountain monastery, you will have heard about OpenAI’s release of Deep Research on Feb 2, 2025. This new product promises to revolutionize how we answer questions requiring the synthesis of large amounts of diverse information.

You type in your query, select the Deep Research option, and the platform autonomously searches the web, performs reasoning on what it discovers, and synthesizes multiple sources into a coherent, fully-cited report. It takes several orders of magnitude longer to produce its output relative to a standard chatbot, but the result is more detailed, more informed, and more nuanced.

How does it work?

But how does this technology work, and why is Deep Research a noticeable improvement over previous attempts (like Google’s Deep Research – incoming trademark dispute alert)? We’ll leave the latter for a future post. As for the former, there is no doubt much “secret sauce” underlying Deep Research. We can glean a few details from OpenAI’s release post, which I summarize.

Deep Research exploits recent advances in foundation models specialized for reasoning tasks:

“…fine-tuned on the upcoming OpenAI o3 reasoning model…”

“…leverages reasoning to search, interpret, and analyze massive amounts of text…”

Deep Research makes use of a sophisticated agentic workflow with planning, reflection, and memory:

“…learned to plan and execute a multi-step trajectory…”

“…backtracking and reacting to real-time information…”

“…pivoting as needed in reaction to information it encounters…”

Deep Research is trained on proprietary data, using several types of fine-tuning, which is likely a key component in its performance:

“…trained using end-to-end reinforcement learning on hard browsing and reasoning tasks across a range of domains…”

“…optimized for web browsing and data analysis…”

The exact design of the agentic workflow is a secret, however, we can build something ourselves based on well-established ideas about how to structure agents.

One note before we begin: It is easy to be swept away by Generative AI fever, especially when a new product that seems a step-improvement is released. However, Deep Research, as OpenAI acknowledges, has limitations common to Generative AI technology. We should remember to think critically about the output in that it may contain false facts (“hallucinations”), incorrect formatting and citations, and vary significantly in quality based on the random seed.

Can I build my own?

Why certainly! Let’s build our own “Deep Research”, running locally and with open-source tools. We’ll be armed with just a basic knowledge of Generative AI, common sense, a couple of spare hours, a GPU, and the open-source Milvus, DeepSeek R1, and LangChain.

We cannot hope to replicate OpenAI’s performance of course, but our prototype will minimally demonstrate some of the key ideas likely underlying their technology, combining advances in reasoning models with advances in agentic workflows. Importantly, and unlike OpenAI, we will be using only open-source tools, and be able to deploy our system locally – open-source certainly provides us great flexibility!

We will make a few simplifying assumptions to reduce the scope of our project:

We will use an open-source reasoning mode distilled then quantized for 4-bits that can be run locally.

We will not perform additional fine-tuning on our reasoning model ourselves.

The only tool our agent has is the ability to download and read a Wikipedia page and perform separate RAG queries (we will not have access to the entire web).

Our agent will only process text data, not images, PDFs, etc.

Our agent will not backtrack or consider pivots.

Our agent will (not yet) control its execution flow based on its output.

Wikipedia contains the truth, the whole truth and nothing but the truth.

We will use Milvus for our vector database, DeepSeek R1 as our reasoning model, and LangChain to implement RAG. Let’s get started!

We will use our mental model of how humans conduct research to design the agentic workflow:

Define/Refine Question

Research starts by defining a question. We take the question to be the user’s query, however, we use our reasoning model to ensure the question is expressed in a way that is specific, clear, and focused. That is, our first step is to rewrite the prompt and extract any subqueries or subquestions. We make effective use of our foundation models specialization for reasoning, and a simple method for JSON structured output.

Here is an example reasoning trace as DeepSeek refines the question “How has the cast changed over time?”:

Alright, so I need to break down the question "How has the cast changed over time?" related to the evolution of The Simpsons. Let me think about what aspects are involved here. First, I know that the cast has changed a lot, but I need to figure out the intermediate questions to approach this. The main question is about changes in the cast over time, so I should consider different areas that contribute to this change. I guess the first sub-question would be about the original cast members. Who were the main voices and how did they evolve? Then, there might be new cast additions over the years, so another sub-question about that. Also, some original voice actors have left, so I should include a sub-question about departures. Then, new voice actors joining would be another point. The show has been popular for a long time, so recurring roles changing might be another aspect. Additionally, the role of the show in society might have influenced casting choices, so a sub-question about that. Lastly, the overall impact on the cast's careers could be another angle. So, I should list these as sub-questions to cover all aspects.

Search

Next, we conduct a “literature review” of Wikipedia articles. For now, we read a single article and leave navigating links to a future iteration. We discovered during prototyping that link exploration can become very expensive if each link requires a call to the reasoning model. We parse the article, and store its data in our vector database, Milvus, akin to taking notes.

Here is a code snippet showing how we store our Wikipedia page in Milvus using its LangChain integration:

wiki_wiki = wikipediaapi.Wikipedia(user_agent='MilvusDeepResearchBot ()', language='en')

page_py = wiki_wiki.page(page_title)

text_splitter = RecursiveCharacterTextSplitter(chunk_size=2000, chunk_overlap=200)

docs = text_splitter.create_documents([page_py.text])

vectorstore = Milvus.from_documents( # or Zilliz.from_documents

documents=docs,

embedding=embeddings,

connection_args=

"uri": "./milvus_demo.db",

,

drop_old=True,

index_params=

"metric_type": "COSINE",

"index_type": "FLAT",

"params": ,

,

)

Analyze

The agent returns to its questions and answers them based on the relevant information in the document. We will leave a multi-step analysis/reflection workflow for future work, as well as any critical thinking on the credibility and bias of our sources.

Here is a code snippet illustrating constructing a RAG with LangChain and answering our subquestions separately.

# Define the RAG chain for response generation

rag_chain = (

"context": retriever

| prompt

| llm

| StrOutputParser()

)

# Prompt the RAG for each question

answers =

total = len(leaves(breakdown))

pbar = tqdm(total=total)

for k, v in breakdown.items():

if v == []:

print(k)

answers[k] = rag_chain.invoke(k).split('')[-1].strip()

pbar.update(1)

else:

for q in v:

print(q)

answers[q] = rag_chain.invoke(q).split('')[-1].strip()

pbar.update(1)

Synthesize

After the agent has performed its research, it creates a structured outline, or rather, a skeleton, of its findings to summarize in a report. It then completes each section, filling it in with a section title and the corresponding content. We leave a more sophisticated workflow with reflection, reordering, and rewriting for a future iteration. This part of the agent involves planning, tool usage, and memory.

See accompanying notebook for the full code and the saved report file for example output.

Results

Our query for testing is “How has The Simpsons changed over time?” and the data source is the Wikipedia article for “The Simpsons”. Here is one section of the generated report:

Summary: What we built and what’s next

In just a few hours, we have designed a basic agentic workflow that can reason, plan, and retrieve information from Wikipedia to generate a structured research report. While this prototype is far from OpenAI’s Deep Research, it demonstrates the power of open-source tools like Milvus, DeepSeek, and LangChain in building autonomous research agents.

Of course, there’s plenty of room for improvement. Future iterations could:

Expand beyond Wikipedia to search multiple sources dynamically

Introduce backtracking and reflection to refine responses

Optimize execution flow based on the agent’s own reasoning

Open-source gives us flexibility and control that closed source doesn’t. Whether for academic research, content synthesis, or AI-powered assistance, building our own research agents open up exciting possibilities. Stay tuned for the next post where we explore adding real-time web retrieval, multi-step reasoning, and conditional execution flow!

Resources

Notebook: “Baseline for An Open-Source Deep Research”

Report: “The evolution of The Simpsons as a show over time, covering changes in content, humor, character development, animation, and its role in society.”

Milvus vector database documentation

Distilled and quantized DeepSeek R1 model page

️🔗 LangChain

Deep Research FAQ | OpenAI Help Center

*This post was written by Stefan Webb and originally published on Zilliz here. We thank Zilliz for their insights and ongoing support of TheSequence.

[save-the-villainous-cat]

Hero watches the city at night when they spot villain walking out of a bar completely drunk and not being able to even walk properly.

So hero gets worried and tries to bring villain home, that turns out difficult though when they realize that villain is pretty flirty when drunk.

Make it spicy spice✨️

“Watch your step.” The hero caught them before the villain could fall to the ground, however, the villain only laughed, clearly amused as they held onto their saviour.

“Clooooose call.”

“You said it,” the hero answered softly. “Now cool it just a bit, will you? Other people are sleeping.”

“Wanna sleep, too.” The villain turned towards the hero, rather serious out of a sudden and, the hero had to admit, they were a little intimidated by it until the villain’s gaze became very very suggestive. “Wanna sleep with you.”

“Yeah, keep dreaming, sunshine.” For whatever reason, the hero’s grasp tightened on their waist, as if holding onto them could save the villain. However, their nemesis wasn’t aware of the seriousness the hero assigned to the situation. So, they let their hand slip under the hero’s jacket, scratching teasing lines into the sleeve on the hero’s shoulder.

“God, you’re so fit…” the villain mumbled. “Sometimes I forget.”

The hero didn’t mind. Being close to the villain was nice but they weren’t going to use them in a state like this.

“You too, you know,” the hero answered. “You look good.”

“Pff. Suree.” The villain’s delicate fingers slipped under the hero’s shirt and slid down, their bare hand between the hero’s shoulder-blades. It tightened the hero’s shirt around their neck, making it a little uncomfortable to breathe.

They didn’t mind that either. They knew what was going on with the villain. Why they were so touchy.

When they looked at the villain, they grinned, shamelessly so and the hero couldn’t believe they were actually doing this.

Sometimes they could be rather impulsive, they knew that. But quite honestly, they had been worried. For a long time now, the villain hadn’t been doing well. They’d been quiet, had started to wilt like a beautiful flower. Maybe the hero was overthinking this but if they weren’t — and they were quite sure they were not — then the villain was playing with the fire of self-destruction a bit too carelessly. And the hero didn’t even tolerate the tiniest burn.

It saddened them.

“Keep doing that and you won’t walk tomorrow,” the hero joked, secretly adoring the hand where it was drawing circles. It was the kind of intimacy that could only come with love.

“That’s the goal,” the villain mumbled and without a warning, they stopped and pressed a kiss to the hero’s neck. It felt lovely. But the hero knew this couldn’t be love. It was frustration. It was hatred. It was anger. All bottled up in a flask of alcohol.

Carefully, testing the waters, the villain bit down into the hero’s skin and just for a moment, the hero closed their eyes, sighed and came to their senses.

One hand in the villain’s hair, they pulled them away. Their nemesis wanted to say something but the hero was quicker.

“You want to be loved so bad, don’t you?” They looked at the villain, one hand on their lower back, the other gliding to their chest. “You want to be admired so bad that you are willing to go as far as making a fool out of yourself, don’t you? As if laughing with the others makes laughing about you any better.”

The hero looked at their nemesis, their dear nemesis who could be so human at times it scared them.

They felt drawn towards them but the villain wasn’t a black hole, they were a bright star, close to collapsing.

“I—” Despite being drunk, the villain was quiet, staring back at the hero. They made a grimace as if to laugh, so the hero continued.

“You deem yourself worthless. Worth a joke maybe, nothing more. You’re so wrong about that, don’t you know? You drank that much because you feel like a failure, right?” The hero hoped they were wrong, prayed for it even but the villain didn’t answer, they looked at the pavement, their hand still on the hero’s back. “God, you destroy yourself because of it. You walk around, threatening people, building weapons, all of it so they look at you.”

“How’d you know…” The hero took the villain’s hand, squeezing gently.

“As if I haven’t been there before.”

[volivolition]

heyo!! hows unstoppable force going?? :0

HELLO ANON! lots of people asking about my fics (unless you're all just the same anon??? hgkj) in any case, im truly grateful :')!! i'll split up chatting between them, but since you asked for it specifically: let's talk Unstoppable Force! :D

Preface, here's all my fic wips as explained before!! and all my writing can be found in my #inland drabbles tag! ask 2, ask 3!

Unstoppable Force, aka "The Unstoppable Force Kisses the Immovable Object" was my first ever skills fic! as with all my writings, it's still a wip hgkjg Unstoppable Force is centered on Volition and Electrochemistry's relationship, from enemies -> friends with benefits -> lovers :3 it started as pwp but whoops accidentally got a bit of plot in there! it is still very explicit hgskgjk

Current word count is now 22,389!! granted, some of these are snippets of other fics. This document is a general free-for-all Volistry document, but Unstoppable Force in specific does have a plot in mind.

As for how it's going, it's currently a back burner project. Life's been tossin' curveballs and writing's been waiting in the outfield. for Unstoppable Force in specific, ive never written an explicit fic before so on top of the evil "your writing isn't good enough" demons im also fighting off the puritan "you should not be writing sexy shit, you are a sinner and also CRINGE" angels. like lmao LET ME FUCKIN LIVE HDHJFJ

i really love rereading it (literally canNOT stop grinning while rereading, theyre SO FUNNY, im delighted by their dialogues hgkj) and i KNOW other people might like reading it too, but also it's hard to believe anyone besides me will like the plot and characterization and. y'know. the sex?? i feel its very obvious i am a novice at this hgkj im aroace as fuck guys, this is already such an endeavor hkjgg

NEVERTHELESS. WE PERSIST!! the outline is all there, and a lot of plot points are already filled in! i just need to add more in-between sections, and figure out which sections i actually want to include in the fic hkjg

i think i want to add more of volition's thought process into this, it's fuckin fascinating, the way he denies things he wants, and moreover doesn't allow himself to want? me when the homie's self restraint is making his life worseee~!!! hgkjg shakes him hgkjg here's a writing snippet!! for you!!!

^ I NEED TO FUCKIN EXTRAPOLATE ON THIS!! HEY @ MY OWN WRITING, IS THIS TRUE??? HGKJG

i think it'd be better if i punched up the conflict in one of the later chapters? there's a part where volition's reaction to something harry says would realistically be something else, especially given the circumstances. i know exactly how i could do it but it makes me REALLY SAD augfhfhgh what if i just want volition and echem to be happy!! what then!!!

augh i'll do it eventually but I'LL BE SAD ABOUT IT HJGKJ </3 alas, writing is driven by conflict. i GOTTA CAUSE PROBLEMS ON PURPOSE!!!

okay, i could say more but that's all on Unstoppable Force for now. i have a lot of fondness for this fic as my first ever one that got me started in the fandom <33 volistry lover forever and ever!!! :D thank you for reading!!! :D

[luvo27]

tagged by @kyleraiyner to post 4-6 recent photos!!!

no pressure tags for @magical-girl-coral, @rrat-king, @lisziztaken, @twackycat, and anyone else who sees this and wants to play!!!

[lotuzies]

"i read your diary every line

i wanna drink your words like wine."

[brooklynisher]

I was gonna say something relating to this post and so I went to look at the lyrics and I realized HEY

THOSE ARE NOT THE LYRICS

And I was really confused and then I remembered, "Wait, isn't this one of the really really really old songs that they've reworked"

And LO AND BEHOLD IT IS!

The Jon really possessed The Spine with this one

[ominous-faechild]

[the following is an excerpt of an exchange with: the Existential of Magic]

Magic: lets out a slow, heavy sigh, shoulders slumping Magic: "You know what? I've realized some things." Magic: solemnly: "I've made mistakes in my past." Magic: "But... do you know what else I realized?" Magic: grins, throwing out their arms "I'm a fuckin' god! I don't have to accept responsibility for them!"

I,,, said I'm obsessed with this guy. I love them.

Please save me...

Taglist: @honeybewrites @the-golden-comet @illarian-rambling @ashirisu @urnumber1star

@the-letterbox-archives @48lexr @aalinaaaaaa @thecomfywriter @paeliae-occasionally

[moldsporr]

Woahg

@neondownpourzine