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154 postsEvidence Graph turns skipped AI-agent requirements into compile errors
Evidence Graph is a ttsc lint plugin that forces AI coding agents to explicitly cite specs, turning skipped requirements into compile-time errors.
Amdb: Single-Binary Local Code Context MCP Server in Rust
Amdb is a single Rust binary MCP server offering fully local graph+vector code context retrieval, built for air-gapped and regulated environments.
I let an AI agent handle my job search: the real numbers, LLM bill included
An engineer's 4-day data from an AI job-search agent: 13% fit-filter rate, $3.36 LLM cost per application, and the fight against bot detection.
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.comTuro: Aggressive Token-Saving Proxy for CLI AI Agents
Turo is an open-source CLI proxy that trims AI agent prompts, cutting LLM token usage by up to 70% while preserving meaning.
Code Mode Cuts Agent Costs by 99.2%, Measured in Production
A production benchmark shows code-execution-based agent workflows cut token costs by 99.2% versus raw sequential MCP tool calls.
data2prompt: CLI Tool Fits Data-Heavy Projects into LLM Context Windows
data2prompt CLI profiles and samples CSVs, Excel files, and SQLite databases to fit data-heavy projects into any LLM context window.
How Compiling an AI Agent's Workflow Cut Token Use by 94%
An engineer compiled a recurring AI agent workflow into deterministic code, cutting token use 94% and latency 87% with no quality loss.
Favur Evals: a public benchmark for which AI model codes best
Favur Evals is a public, vendor-independent leaderboard comparing AI models on real software engineering tasks across eight measurable dimensions.
AI-Generated UI Is Inaccessible by Default
AI code-gen tools produce visually polished but semantically empty React UI. A five-layer system enforces real accessibility tree correctness.
Bugs in ArDD's git worktrees you could only find by running it
How running ArDD's git worktree flow in practice exposed subtle bugs invisible from reading code, and the fix that made failures safe.