developer tools

A practical article explaining how to run AI models directly in the browser with Transformers.js, including setup, how it works, browser support, and example use cases like translation and grammar checking.

A governance framework for multi-agent AI systems, with agent lifecycle controls, memory, runtime hooks, and quick-start scaffolding for governed projects.

OpenAI’s model documentation page for the API, with navigation into model selection, pricing, reasoning, text and code, embeddings, moderation, and related developer docs.

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.

A Codex Skill that installs verified public-safe skin packs from GitHub releases, validates theme files, stages them locally, and shows rollback guidance before applying anything.

A Claude Code skill that launches a second model in a herdr split pane to adversarially review a diff, then checks each finding before returning a verdict.

A terminal and Claude Code plugin that shows rotating one-line regional news in the status line while you work.

A Claude Code skill that searches royalty-free stock photos through the Pexels API, with install and usage instructions in the repo.

Nano Collective is an open-source collection of local-first AI tools for developers, with featured projects like Nanocoder and Nanotune plus packages such as get-md, prompt-scrub, and json-up.

Pokayoke is a repo policy tool that turns code conventions into checks humans and agents can run and repair. It positions itself alongside linting and formatting, with fast setup, local TypeScript rules, and an agent-first workflow via SKILL.md.

A catalog of design patterns for building agentic systems that verify outputs with evidence instead of relying on self-review. The page explains two main failure modes and presents structured patterns for context, verification, and orchestration.

A skill for coding agents that routes slash commands and trigger phrases to zerostack, a lightweight CLI coding agent for coding, planning, reviewing, and orchestration tasks.

A Topos case study showing how a guided refactor of a synthetic healthcare claims engine reduced token usage, wall time, and estimated cost for later Gemini feature sessions.

Whitman is a Rust CLI for selecting an AGENTS.md profile and linking it into the current project. It supports interactive profile browsing, profile creation, and safe symlink handling across local projects and Git repositories.

Open-source AI agent harness tool that lets an agent wipe its session context and replay the first message, designed for loop-based agent workflows.

A Visual Studio 2026 extension that connects Claude Code to the IDE, showing native diffs with accept/reject, selection context, compiler diagnostics, and a live session panel.

Python library that automates ChatGPT and Gemini through the web UI, using a real Chrome browser to send prompts, upload files, and return responses as Python objects.

Visr is a CLI tool that records full agent terminal trajectories, including commands, output, retries, and fixes, then returns a transcript link for reuse across sessions.

A GitHub repository that proposes a practical methodology for evaluating how AI systems behave during real work, with quick-start, practitioner, and methodology guides included.

TokenScale is a browser-based AI API pricing explorer that compares 16 providers, converts token costs into familiar real-world examples, and shows how batch, cache, and conversation length affect spend.