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developer-tools
148 postshwatu: A Warm-Daemon Verification Browser for AI Coding Agents
hwatu offers a warm-daemon verification browser for AI agents, running one-call, sub-40ms visual and behavioral page checks.
Inside Zig's Incremental Compilation: Millisecond Rebuilds
How Zig's compiler achieves millisecond incremental rebuilds through ZIR, analysis units, and a fine-grained dependency graph.
A schema-only classifier that finds personal data without reading it
A rule-based classifier maps personal data from database schema alone, never reading values, with published benchmarks and honest failure modes.
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.comLoom: A Git-Based Coordination Layer for Multiple AI Coding Agents
Loom adds git-based worktree isolation and intent leases so AI coding agents surface conflicts before they burn tokens, not after.
talkthrough-mcp: Local MCP Server Turns Screen Recordings into AI Data
talkthrough-mcp is a local-first, open-source MCP server that turns narrated screen recordings into transcripts, keyframes, and OCR data for AI agents.
HyperShots renders App Store screenshots with CSS, not AI pixels
HyperShots generates App Store screenshots via CSS and headless Chrome at exact pixel specs, eliminating rejections caused by AI image models.
LLM Latency Budgets: Speed Up AI Workflows Without Guesswork
A practical guide to building stage-level LLM latency budgets, workflow classes, and runtime enforcement for reliable AI products.
Graphify Turns Codebases Into Knowledge Graphs, Cuts Tokens 71x
Graphify converts codebases into knowledge graphs, cutting per-query token usage by 71.5x. An open-source tool with 86k+ GitHub stars.
Armin Ronacher: AI coding advances even as teams lose shared understanding
Armin Ronacher compares AI-driven vibe coding to the Tower of Babel, showing how coding agents erode teams' shared technical understanding.
Context Warp Drive: Deterministic, Zero-LLM Context Compaction
Context Warp Drive folds agent context deterministically with no LLM calls, cutting costs up to 72% while keeping 94% fact retention.