Article
Codebase graph servers: MCP for AI agents, genuine breakthrough or just middleware?
Code graph MCP servers index your codebase as a symbol graph and expose it to LLM agents. Powerful on large projects — but useful for 90% of codebases?
#LLM
9 articles
Deep Dive
An Agent Hallucinated an Attack, and Proving It Took Three Hours
A sub-agent invents a malicious instruction out of thin air. A forensic walkthrough of telling hallucination apart from a real compromise.
Article
Fable 5 cut off: when Washington decides who gets to use AI
The US government suspended access to Fable 5 and Mythos 5 for all non-US nationals. For Europeans, it's a blunt reminder of a reality we preferred to ignore.
Article
Lost in the Middle: Why Your LLM Ignores What You Give It
LLMs don't read long contexts well, not because of capacity limits, but by design. Two studies measure the gap. What it means for how you architect your systems.
Article
Token Economy: Three Tools Attacking the Problem Differently
RTK compresses tool outputs. Caveman forces LLM brevity. DCP prunes context history. Three tools, three layers — and a counterintuitive argument: fewer tokens, better reasoning.
Article
Agentic AI: what it actually is
Between devs convinced AI will automate everything and those who think it will never truly understand code, there's a more nuanced reality, and a more useful one.
Brève
pure.md — a markdown proxy for AI agents, with built-in MCP
pure.md markdown proxy for AI agents — converts any URL to clean markdown in one GET request. Handles JS SPAs, PDFs, bot detection. 28K tokens vs 143K with Jina.
Article
Devoxx France 2026: AI everywhere, but with nuance
A recap of 3 days at Devoxx France 2026 — from generative AI to CI/CD security, Docker Sandboxes to LLM guardrails, here's what the conference says about the state of the art (and its limits).
Brève
Harness engineering: what Anthropic and OpenAI are actually doing with their agents
Anthropic and OpenAI published their harness engineering post-mortems weeks apart. Different problems, same conclusions — here's what to take away.