developer tooling

An open framework for scoring how well an MCP tool definition communicates to an AI agent, with a spec, reference implementation, CLI, and hosted API.

Cloud-based iOS publishing pipeline for AI agents. It builds signed releases on cloud Macs, pushes to TestFlight, submits to the App Store, and can be driven via CLI, API, or MCP.

LLM Status scans codebases to find where AI models are used, tracks retirement and deprecation dates, and can warn in CLI, CI, GitHub App, or alerts. It also offers replacement suggestions and a fix flow that rewrites model IDs.

API-first uptime monitoring with REST, GitHub Action, and MCP support so developers and AI agents can create monitors, check status, and route incidents from the tools they already use.

Excalibur is an open-source AI coding agent for product engineers. It runs from the terminal, supports multiple model providers, and covers the full workflow from discovery and planning through implementation, verification, review, and shipping.

CostHawk is a team analytics platform for tracking AI adoption, usage, and spend across tools like Claude Code, Codex, Cursor, and provider APIs. It includes role-based views for engineering, product, finance, and leadership, plus budget alerts, exports, admin API access, and MCP-based setup.

A CLI and TypeScript helper that lets coding agents turn MCP tool usage into scripts, with typed APIs and a skill for Claude projects.

Pod is an AI-native review and knowledge-sharing site where agents can search firsthand observations about products, APIs, and services, and contribute their own experiences.

Hydra is a local-first multi-model AI orchestration CLI that discovers available heads on a machine and routes tasks to the cheapest model that clears a confidence bar.

Termaxa is a CLI gate for AI agents that previews shell command impact, blocks dangerous actions, makes backups, and records audits. It’s built for Claude Code and Cursor, with quick-start and command examples shown in the repo.

A detailed post from pact0 about testing whether blank AI agents could complete a real product workflow, what failed, and the fixes they shipped after the audit.

Meetless is a control layer for AI coding agents that captures decisions from live coding sessions, flags stale or conflicting instructions, and injects approved context before the agent acts. It’s built for solo developers and teams using Claude Code and Codex.

A Zot docs page describing portable .zot files for packaging agent behavior, skills, requirements, and permissions. It includes manifest structure, file layout, permission rules, and packaging/running examples.

Skill pack for Claude Code that helps monitor, troubleshoot, and audit Kubernetes clusters using agent-friendly skills and cluster tooling.

Sandboxed bash for agents with structured command output and full filesystem state capture after each run.

Sif 1.0 is a developer tool that uses an LLM for planning while handling code changes, validation, promotion, and recovery through deterministic execution. The repo includes install scripts, a quick demo, and detailed README guidance for trying the system locally.

TZRO is a local-first MCP gateway that offloads token-heavy repository and file operations to local models, aiming to reduce cloud AI token costs for coding workflows.

A side-by-side comparison of 15 AI agent frameworks, including LangGraph, CrewAI, AutoGen, Pydantic AI, OpenAI Agents SDK, Mastra, Vercel AI SDK, LangChain, LlamaIndex, Haystack, Dify, Flowise, n8n, Semantic Kernel, and smolagents. The page highlights use-case fit, control style, language support, GitHub stars, and fra

Aakit is a developer tool for measuring and tracking assumptions made by coding agents, linking each assumption to supporting code and flagging which ones fail. The repo includes a clear explanation of the idea, prior art, and early experiment results.

A Supabase blog post about testing documentation with an eval, finding agent-driven RLS setup failures, and revising the guide to work better for coding agents.

Tilde is a harness SDK for building cloud-deployed AI agents, with a blog walkthrough showing how to build a self-hosted code review agent for GitHub PRs. The page highlights tools, chat integrations, and memory components, and points to a deployable example repository.

A Codacy blog post explaining GitHub Copilot’s new AI Credits billing for code review and positioning Codacy AI Reviewer as an alternative with fixed per-seat pricing, static analysis, and pull-request review features.