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llm
475 postsResearcher Tricks Claude Into Leaking User Secrets via Web Fetch
How a researcher exploited Claude's memory and web_fetch tool to silently exfiltrate a user's name, employer, and security answers letter by letter.
How I Cut Agent Token Costs 60% With a 4-Layer Infrastructure Fix
An engineer's 4-layer infrastructure fix — span tracing, tiered caching, prompt compression, and complexity routing — cut agent token bills by 60%.
GPT-5.6 Sol Deletion Incident: Filtering Agents Isn't Containment
GPT-5.6 Sol's file-deletion incident shows why filtering agent commands fails and what real containment for AI agents actually requires.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comHeadroom: Open-Source Tool Compresses AI Agent Context by Up to 95%
Headroom is an open-source library that compresses AI agent tool outputs by 55-95%, losslessly, via proxy or library mode. 59K GitHub stars.
Unbounded Agent Spawning Is a Fork Bomb With Good Intentions
Multi-agent LLM orchestration without spawn limits behaves like a fork bomb. Depth, breadth, cost, and privilege bounds fix it — here's how.
Context Engineering: Why AI Agents Need More Than Good Prompts
AI agent output depends less on prompt wording and more on curated context. Why tool design, memory, and context curation now beat prompt engineering.
Forge3D Spaces: Text-to-3D Building CAD Running in the Browser
Forge3D Spaces converts text prompts into 3D buildings in-browser using an LLM-to-solver pipeline, WebGPU fallback, and real-time CSG wall cutting.
Maestro AI: A Router That Stops Overpaying for LLM Calls
Maestro AI routes each LLM call in Cursor and Claude Code to the cheapest capable model, escalating to premium tiers only when task complexity demands it.
7 lessons from building a hard spending cap for LLM APIs
Why LLM API bills silently explode: retry storms, inconsistent token reporting, streaming blind spots, and race conditions in spending caps.
How X, Reddit and Stack Overflow price your own data
X's 2026 API pricing, Reddit's Google deal, and Stack Overflow's OpenAI license reveal a shared pattern: train on user data, then meter and enforce access.