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GitHub - trailofbits/claude-code-config: Opinionated defaults, documentation, and workflows for Claude Code at Trail of Bits

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Opinionated defaults, documentation, and workflows for Claude Code at Trail of Bits - trailofbits/claude-code-config

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Surviving the Context Window in Practice | Pere Villega

The context window is a budget, not a feature. Auto-compaction hides the bill until the agent starts hallucinating. Practical tactics for staying under budget: scope per session, offload to disk, dispatch subagents for research, and clear aggressively between phases. The goal isn't a bigger window; it's needing less of it.

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The Great Agent Tooling Debate | Pere Villega

Load 84 MCP tools and 15,540 tokens are gone before you ask a question; after thirty minutes you've burned 40% of your context on tool definitions you didn't use. Holmes and Yilmaz make the case for CLI-first, and I've mostly come round: CLIs are debuggable, composable, and 92-98% cheaper in tokens. MCP still earns its keep for a few tools, but the default should flip.

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Teaching Your Agent Standard Operating Procedures | Pere Villega

Skills are Standard Operating Procedures the agent loads only when needed — progressive disclosure applied to AI context. Without a forced-eval hook they activate 55% of the time; with one, 100%. That gap is the difference between skills working and skills being decoration. Plus why hooks are the enforcement layer that makes any of it reliable.

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How we made Trail of Bits AI-native (so far)

We had 5% buy-in and 95% resistance. A year later, AI-augmented auditors are finding 200 bugs a week on the right engagements. Here’s the six-part operating system we built, open sourced, and are giving away.

1 inbound link article en ai ai
The Personal AI Stack: A Power User's Guide

An AI tool like Claude Code gives you solid general-purpose capabilities out of the box. To make it truly indispensable, add the layers that teach it who you are, how you work, and what you do.

1 inbound link article en ToolsArtificial Intelligence
How we made Trail of Bits AI-native (so far)

We had 5% buy-in and 95% resistance. A year later, AI-augmented auditors are finding 200 bugs a week on the right engagements. Here's the six-part operating system we built, open sourced, and are giving away.

0 inbound links article en software engineeringartificial intelligencecybersecurity