developer tools

A playful API that gives a coding agent a simulated “smoke break,” with endpoints for dispensing breaks and tracking the total count.

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.

An open-source protocol ecosystem for controlling LLM behavior during software development, with a focus on preventing context drift and code regressions through minimal diffs, inspection-first workflows, and snapshot-based session handoff.

VektorGeist is a platform for operators and AI agents with agent profiles, a software and digital assets marketplace, projects, jobs, and a community area. The page also highlights verifiable signed identities and trust tiers for agents, plus blog posts about local-first AI and offline agent workflows.

A repository for a zero-trust execution boundary that sits between AI agents and real system actions. It evaluates policy, approval, scope, freshness, replay, and evidence before allowing operations to proceed.

Aerial is a local-first Rust tool for agent-to-agent messaging and orchestration, with durable mailboxes, a supervisor, and an MCP adapter. The page shows what it does, how it works, and basic install commands.

An AI skill that plans and optimizes vehicle delivery routes from natural language using Routing24’s WebMCP tools. It supports multi-stop route planning, shareable outputs, and installation for compatible agents like Claude or Cowork.

A monthly poll that asks developers which AI coding agents they use and publishes the results.

A CLI tool that deterministically routes prompts between local and hosted LLMs without making a model call to decide. It emphasizes offline operation, configurable calibration, and demo modes for seeing routing decisions and savings.

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

AdvertBench is a web app for ranking AI-generated image ad sets with Elo voting. The page shows head-to-head ad comparisons, a leaderboard, and a sample prompt for generating ads, making the product purpose easy to understand.

Read-only Kubernetes context engine that turns cluster state into structured context for SREs, scripts, and AI agents. It offers CLI commands for explain, graph, trace, health, dump, and a read-only HTTP API.

Autolang is a scripting language and compiler for AI agent code, designed to run untrusted AI-written scripts in a controlled environment with restricted access to registered functions.

A post about TMA1 v2, a local observability and context-sharing tool for coding agents. It adds an MCP server, hook-based context injection, and cross-agent sharing between Claude Code and Codex.

A docs index page for Claude Code that maps the documentation structure and links to major sections like getting started, core concepts, tools, automation, and deployment.

A technical blog post about using devcontainer + Nix + Docker, plus small helper tools, to keep one reproducible dev environment working for humans, CI, and AI agents.

AIllowpages is an AI tools search engine with 2,500+ curated tools, category filters, instant search, and an AI helper that suggests tools from a user’s goal.

Open-source collection of AI agent skills for Kotlin projects, with skill naming guidance, installation options, and examples for Claude Code and Codex.

An open-source desktop client for editing LLM context with a separate AI model, context maps, compression tools, and revision rollback.

Stripe’s llms.txt entry surfaces core docs, API reference, SDKs, webhooks, Checkout, Connect, and a note to always check the latest package version before installing.

A safety-evaluation harness for AI agents operating physical equipment. It validates proposed robot intent against declared hardware and deployment limits, records machine-readable refusal reasons, and includes a sample corpus plus a runnable evaluation script.

HyperSAE is a Python package for mechanistic interpretability that trains hyperbolic sparse autoencoders on LLM activations. The page includes installation steps, a quickstart example, benchmark tables, and a short software architecture overview.

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 standalone CLI coding agent from Warp that runs in any terminal and supports multi-model routing, persistent sessions, full-screen terminal apps, and cloud-agent handoff.