Developer Tools AI Tools

A source-level reconstruction of the WON-era Half-Life launcher, build 1792, with build instructions, supported-version notes, fixes, and a bundled WON server emulator for local testing.

A small Python CLI that hooks into Claude Code to gradually increase target-language usage during chat sessions, with monitoring, ramp policies, help modes, and a pause/kill switch.

Experimental observability tooling for Go services that turns vulnerability scanning into live metrics. It combines govulncheck, Prometheus, and OpenTelemetry to show when vulnerable code is actually executing in running services.

A small skill that teaches coding agents to explain software with compact visuals like diagrams, trees, diffs, pseudocode, and HTML mockups instead of long prose.

Open-source auditing tool for AI agents that checks whether an agent is doing the job it is supposed to do. The repo shows a guided CLI, plugin-based workflows for Claude Code and Codex, and output in JSON, Markdown, and terminal scorecards.

Preseason tracks which developer tools AI models recommend for a fixed panel of vibe-coding prompts, and publishes rankings across categories like auth, databases, queues, hosting, analytics, and LLM observability.

An architecture case study showing how a Slack-like app is built in pure Elixir with Jido agents, messaging, chat bridges, and Hologram UI.

Terminal-native attention router for parallel Claude Code sessions. It shows session status in the terminal, highlights the one that needs help, and provides quick jump shortcuts, tmux support, and optional desktop notifications.

Aidress is a coordination layer for autonomous AI agents with a live API, Python SDK, CLI, and MCP server for verifying, matching, registering, and reviewing agents.

Scalattice is an inference API and hosting platform that lets developers point the OpenAI SDK at its OpenAI-compatible endpoint with minimal code changes. The page includes Python and curl examples, model IDs, pricing references, and basic troubleshooting.

A GitHub repo section documenting a benchmark for Vestige, a local-first Rust MCP memory layer for multi-agent coding fleets. The page explains the benchmark setup, what is being measured, how to reproduce the main claim, and where to find transcripts, evidence, and harness code.

A macOS Model Context Protocol server that gives AI agents local voice output and persona-based speaking styles.

An open-sourced pipeline that uses Gemini, GoPro footage, Garmin .fit telemetry, Strava segments, and manual labels to automatically build cycling highlight reels.

A curated directory of 116+ AI agents, frameworks, and tools, organized into categories like coding, browser automation, voice, and customer support. It offers free listings, featured placements, and human-reviewed submissions.

A small open-source C# tool for local inter-agent collaboration in coding workflows, with shared chat state, role memory, Markdown messages, and goal tracking inside a Git repo.

Open-source CLI for spinning up disposable local or remote sandboxes for AI agents. It uses a manifest and Dockerfile to build fresh boxes, then exposes a single shell tool through MCP so an agent can work inside the sandbox without touching the host.

A source-available JavaScript browser agent for asserting end-to-end behavior in real user sessions. The repo explains the annotation-based approach, how it runs in staging and production, and how to install and initialize it via CDN or npm.

An early-access AI research assistant that presents a cited mindmap of AI agent safety and alignment research, with expandable nodes, source-backed claims, and built-in verification checks.

Reference implementation for using Linux Pressure Stall Information to trim an LLM KV cache under memory pressure. The repo includes requirements, basic usage commands, a simulator, a llama.cpp runner, and benchmark scripts with example results.

Local-first CLI that records a debugging session and turns it into an evidence-backed Markdown report for PRs, handoffs, and incident notes. It captures commands, notes, exit codes, and git context, then generates a timeline and red-to-green summary from the recorded evidence.

A workbench report comparing MiniMax M3 and GLM 5.2 on autonomous coding tasks, with scored results, latency and cost data, task-type breakdowns, and examples of where each model performed better.

GRID is a small framework for working with coding agents in a spec-driven way. The repository explains its purpose, basic workflow, and how it can be used in CI/CD to check for spec-code-test mismatches.

Foyer is a local dashboard for watching AI coding agents work, with a narrated current-focus view and a research panel for reading sourced briefings while you wait.

A macOS SwiftBar plugin that shows Claude Code quota gauges in the menu bar, with per-account usage, reset timers, and a dropdown with detailed limits.