AI Coding dev finds — tools, libraries, repos, articles, and more worth bookmarking.
25 results
Claude Code / Codex skill that audits the fixed context a coding agent auto-loads every session — tool/MCP definitions, connectors, plugins, skills, subagents, memory/rules files — and proposes ranked cuts to prune, gate, or route what's loaded but unused.
A registry of 5,700+ integration specs from Rhys Sullivan — the same builder behind Executor. Every service normalized into MCP, OpenAPI, GraphQL, and CLI form, each surface leading with a grounded, cited credential guide agents can act on.
Claude Code / Codex skill that generates a self-contained HTML report debugging what is in a session's context window and how every token is spent — context budget, retained thinking, the dumb-zone cutoff, loaded CLAUDE.md and skills, and full history.
Theo Browne's CascadiaJS 2026 talk arguing that AI is a "new cloud moment" — just as the cloud removed the cost of provisioning servers, agents remove the cost of building, so the sacred rules of software (file systems, codebases, packages, git, deployment) are worth tearing down and rebuilding from first principles.
Matt Pocock's skill that turns a coding agent into a personal tutor — it builds a stateful learning workspace and designs lessons within your zone of proximal development to teach you any skill or concept over multiple sessions.
The fastest and most accurate file search toolkit for AI agents, Neovim, Rust, C, and Node. Keeps an in-memory index for sub-10ms queries instead of spawning ripgrep/fzf per search.
AI-powered vulnerability scanner that uses coding agents to perform deep security analysis of codebases — regex-based candidate matching followed by LLM-driven investigation, with support for distributed execution and PR diff review.
AI agent skill that audits and reduces JavaScript package dependency footprint — removes unused deps, deduplicates workspace versions, analyzes transitive closures, and applies e18e replacement recommendations. Works with npm, pnpm, Yarn, and Bun.
Thariq makes the case for HTML over Markdown as Claude Code's output format — richer visualizations, color, diagrams, and easier sharing once agents are the ones authoring and humans rarely hand-edit.
Rhys Sullivan's TypeScript coding skill — branded types, discriminated unions, end-to-end types, real tests over mocks, OpenTelemetry observability, and picking the right abstractions instead of premature ones.
Matt Pocock's skill for deepening modules — restructuring prototype code into something long-lived with cleaner layer dependencies and easier navigation.
Local Node.js loop that turns GitHub issues into pull requests — label an issue `auto-pr` and a multi-step Claude pipeline (research → plan → implement → review) spawns Claude Code and opens a PR.