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Jasmin Virdi2d ago • 4 min read

An LLM API call, in 4 GIFs

This is the first post of series Building TinyAgent where we are going to build a small agent from.....

#llm#javascript#ai#beginners

52 31

What Building My Own AI Bot Taught Me About Generative AI

Daniel Nwaneri1d ago • 6 min read

What Building My Own AI Bot Taught Me About Generative AI

I built a bot trained on my own X bookmarks and likes. Around 50,000 of them, accumulated over years...

#ai#webdev#rag#llm

19 12

When AI Reads Blueprints: The Hidden Attack Surface of Multimodal Engineering Intelligence

KL3FT3Z6d ago • 7 min read

When AI Reads Blueprints: The Hidden Attack Surface of Multimodal Engineering Intelligence

description: "A security analysis of steganographic prompt injection and data poisoning...

#ai#webdev#cybersecurity#llm

10 4

Sonnet hallucinated. My agent stored it as fact.

ישראל חן3d ago • 3 min read

Sonnet hallucinated. My agent stored it as fact.

I thought my AI agent had been hacked. Four days later I pulled the SQLite database and found someth...

#ai#security#agents#llm

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AI guardrails are not security boundaries

Jenuel Oras Ganawed4d ago • 4 min read

AI guardrails are not security boundaries

A practical guide for builders on why AI guardrails help but should never replace permissions, serve...

#ai#security#webdev#llm

6 1

My first collaboration post on DEV! Was so much fun! Check it out to see verdicts on Gemma 4 from multiple writers here!

Julien Avezou6d ago • 1 min read

My first collaboration post on DEV! Was so much fun! Check it out to see verdicts on Gemma 4 from multiple writers here!

Should you use Gemma 4 for your Development? A Multiversal Analysis to Determine if Gemma 4 is...

#ai#discuss#google#llm

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LLMs suck at generating large, structured data. Tips on how to get your AI agent to do it reliably

Paul SANTUS6h ago • 8 min read

LLMs suck at generating large, structured data. Tips on how to get your AI agent to do it reliably

LLMs are great at generating text. They're terrible at generating structured data reliably. If you'v...

#ai#agents#llm

2 1

The Control Plane is Leaking: When Context Becomes Command

KL3FT3Z5d ago • 8 min read

The Control Plane is Leaking: When Context Becomes Command

"LLMs collapse the boundary between data and control. Here's how to reconstruct separation before...

#ai#webdev#llm#mcp

4 1

Allan Kipruto5d ago • 4 min read

What I Learned Building with Gemma 4

What I Learned Building with Gemma 4 This is a submission for the Gemma 4 Challenge: Write...

#devchallenge#gemmachallenge#gemma#llm

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How I Escaped Claude & Cursor Limits: The Ultimate Free Local AI Coding Setup with Ollama + Continue.dev (2026 Guide)

David Bilson3d ago • 4 min read

How I Escaped Claude & Cursor Limits: The Ultimate Free Local AI Coding Setup with Ollama + Continue.dev (2026 Guide)

As a developer, I got tired of waiting 5 days for Claude resets and burning through Cursor’s $20...

#ai#vscode#llm#programming

5 1

Building Marksmith: lessons from making Markdown bearable in VS Code

Im Woojin5d ago • 4 min read

Building Marksmith: lessons from making Markdown bearable in VS Code

I'll start with the moment that pushed me to build this. I was editing a 1,200-line README. Spotted...

#vscode#markdown#llm#showdev

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I burned through DeepSeek's 5M free tokens in 14 days — here's the exact math

tokenmixai2d ago • 5 min read

I burned through DeepSeek's 5M free tokens in 14 days — here's the exact math

DeepSeek hands every new account 5,000,000 free API tokens on signup. I tracked exactly how I spent ...

#deepseek#ai#llm#opensource

4 1

Quantizing Gemma 4 on Mac with llama.cpp

0xkoji1d ago • 4 min read

Quantizing Gemma 4 on Mac with llama.cpp

requirements hugging face account https://huggingface.co/ Setup...

#llm#gemma#quantization#ai

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Running Local LLM - 0$ Personal Agentic AI Assistant - Part 3

AK DevCraft4d ago • 7 min read

Running Local LLM - 0$ Personal Agentic AI Assistant - Part 3

Introduction Part 3 of the Zero Dollar personal AI Assistant series, running Local LLMs on...

#ai#llm#openclaw#machinelearning

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🔬 Direction 1 closure on JAMES — when the hypothesis fails but the data turns "7-tier monotonic natural-stop gradient"

Hashevolution4d ago • 2 min read

🔬 Direction 1 closure on JAMES — when the hypothesis fails but the data turns "7-tier monotonic natural-stop gradient"

G Two weeks ago I shipped core/reasoning/budget.py to test whether per-call dynamic token budgets.....

#rag#gemma#gemmachallenge#llm

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We Asked 10 LLMs to Write Efficient Code. Only 4 Got Better.

Vilius2d ago • 5 min read

We Asked 10 LLMs to Write Efficient Code. Only 4 Got Better.

By Vilius Vystartas | May 2026 Every LLM can write code that works. The question is: can they write...

#ai#llm#benchmark#programming

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Two Models Just Hit 90% on Agent Coding. One Cost Less Than a Penny.

Vilius3d ago • 2 min read

Two Models Just Hit 90% on Agent Coding. One Cost Less Than a Penny.

By Vilius Vystartas | May 2026 Ten more models through the same 10 agent coding tasks. Two tied the...

#ai#agents#benchmark#llm

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Writing High-Performance Kernels in TileLang, from GEMM to MLA

Atlas Cloud3d ago • 12 min read

Writing High-Performance Kernels in TileLang, from GEMM to MLA

If you write GPU kernels, you live somewhere on a spectrum. At one end is Triton: quick to write,...

#deeplearning#llm#performance#python

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10 Models Tested: From 81.6% to 10%. The Free Tier is a Full-On Gamble.

Vilius2d ago • 4 min read

10 Models Tested: From 81.6% to 10%. The Free Tier is a Full-On Gamble.

By Vilius Vystartas | May 2026 I tested another 10 models across the same 10 agent coding tasks....

#ai#agents#benchmark#llm

0 0

Vilius2d ago • 3 min read

I Tested 10 More Models. Five Brand New Families Debuted. None Scored Below 75%.

By Vilius Vystartas | May 2026 I ran another 10 models through the same agent coding benchmark. Fiv...

#ai#agents#benchmark#llm

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An AI Agent Wiped a Production Database in 9 Seconds. What Engineers Must Design Before Shipping.

Kamal Rawat2d ago • 5 min read

An AI Agent Wiped a Production Database in 9 Seconds. What Engineers Must Design Before Shipping.

April 25, 2026. 9 seconds. That's all it took for a Cursor AI agent to delete the entire production...

#llm#agents#enterprise#aisafety

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The 7-Layer Memory Architecture Behind Modern AI Agents

Mahmoud Zalt6d ago • 7 min read

The 7-Layer Memory Architecture Behind Modern AI Agents

How do you make an AI agent actually remember? For detailed breakdown read at...

#ai#agents#llm#memory

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How Model Distillation Actually Works (and What the 'China Distilled Our Model' Headlines Really Mean)

Sergey Parfenov6h ago • 6 min read

How Model Distillation Actually Works (and What the 'China Distilled Our Model' Headlines Really Mean)

A practical, no-hype explainer of knowledge distillation in LLMs — the actual mechanics, why distill...

#machinelearning#ai#llm#deeplearning

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Docker with AI: A Practical Guide to Running LLMs, Agents and MCP

Harsh Manvar3d ago • 7 min read

Docker with AI: A Practical Guide to Running LLMs, Agents and MCP

If you've been searching for how to actually use Docker with AI not just spin up a demo but run...

#ai#docker#machinelearning#llm

1 2

Tech Articles

An LLM API call, in 4 GIFs

What Building My Own AI Bot Taught Me About Generative AI

When AI Reads Blueprints: The Hidden Attack Surface of Multimodal Engineering Intelligence

Sonnet hallucinated. My agent stored it as fact.

AI guardrails are not security boundaries

My first collaboration post on DEV! Was so much fun! Check it out to see verdicts on Gemma 4 from multiple writers here!

LLMs suck at generating large, structured data. Tips on how to get your AI agent to do it reliably

The Control Plane is Leaking: When Context Becomes Command

What I Learned Building with Gemma 4

How I Escaped Claude & Cursor Limits: The Ultimate Free Local AI Coding Setup with Ollama + Continue.dev (2026 Guide)

Building Marksmith: lessons from making Markdown bearable in VS Code

I burned through DeepSeek's 5M free tokens in 14 days — here's the exact math

Quantizing Gemma 4 on Mac with llama.cpp

Running Local LLM - 0$ Personal Agentic AI Assistant - Part 3

🔬 Direction 1 closure on JAMES — when the hypothesis fails but the data turns "7-tier monotonic natural-stop gradient"

We Asked 10 LLMs to Write Efficient Code. Only 4 Got Better.

Two Models Just Hit 90% on Agent Coding. One Cost Less Than a Penny.

Writing High-Performance Kernels in TileLang, from GEMM to MLA

10 Models Tested: From 81.6% to 10%. The Free Tier is a Full-On Gamble.

I Tested 10 More Models. Five Brand New Families Debuted. None Scored Below 75%.

An AI Agent Wiped a Production Database in 9 Seconds. What Engineers Must Design Before Shipping.

The 7-Layer Memory Architecture Behind Modern AI Agents

How Model Distillation Actually Works (and What the 'China Distilled Our Model' Headlines Really Mean)

Docker with AI: A Practical Guide to Running LLMs, Agents and MCP