developer tools

Pure Effect is a small JavaScript library for building testable business logic as data-driven commands instead of relying on mocks. It includes primitives like Success, Failure, Command, Ask, Retry, and Parallel, plus helpers like effectPipe and runEffect for composing and executing flows.

Naiou is an OpenTUI terminal app and yes/no oracle that answers every query with a definitive Yes or No. It includes install steps, build instructions, platform support, and OpenAI-compatible API key requirements.

Gravity AI is a Go-based multi-agent consensus harness that coordinates AI agents through Raft-backed task state, proposal voting, and reputation updates.

A detailed technical article describing PTCRunner’s approach to building a Clojure-like language, runtime, and preludes designed for LLM agents, with emphasis on security, feedback, introspection, and scaling.

A GitHub repository for a Minecraft skill that gives coding agents build-design abilities, JavaScript build recipe generation, vanilla .nbt export, and interactive previews before placing structures in-game.

Docker blog post about a real AI coding agent failure and how Docker Sandboxes aim to contain destructive execution mistakes.

doola MCP lets users form a U.S. LLC inside AI chat tools like Claude and Replit via MCP, with a conversational flow that covers account setup, package selection, payment, and post-payment formation steps.

GitHub’s research preview on multi-model orchestration for coding tasks. The page describes adaptive workflow selection and includes benchmark comparisons against the Opus 5 baseline with estimated cost reduction claims.

Oconee Runtime is an enterprise AI governance product focused on policy enforcement for browser AI and coding agents. The page explains how it evaluates proposed agent actions against policy and supports allow, warn, and block outcomes.

An educational project that explains and demonstrates a homemade language processing unit inspired by Groq’s LPU, with a focus on running a small Transformer model and visualizing the idea behind AI hardware.

A native Emacs mode for chatting with AI agents via ACP, with prompt queueing, chat mode, image handling, and buffer navigation improvements.

A technical blog post from the Cua repository describing a process-scoped Metal capability shim for macOS VMs that improves llama.cpp performance on Apple Silicon, with benchmark results and reproduction details.

Open-source Python project for execution-first multi-agent workflows built around YAML Charterfiles, runtime schema enforcement, and a boss-agent hierarchy. The README includes install commands, a short usage tour, and a small code example.

A playable text-adventure that teaches Claude Code through real prompts, skills, and agent workflows.

A Vite plugin that obfuscates client-side code in a way meant to make LLMs refuse de-obfuscation attempts. The README shows the project’s purpose, a usage note, and an example of the transformed output.

A RequestRocket article mapping the AI agent access-control stack across authentication, authorization, governance, identity, gateways, and runtime egress control. It explains how the categories differ, when each fits, and where RequestRocket sits in the landscape.

An in-depth Medium post from IronBee about how a verification loop affects AI coding agents, using Web-Bench and comparing DeepSeek with Claude Opus on a real web app task.

A macOS terminal workflow that uses local speech-to-text plus the Pi coding agent to turn spoken requests into shell commands or terminal answers.

Anthropic research report on how people use Claude Code in practice, based on a large privacy-preserving analysis of session data. It covers task types, division of labor between user and model, and how domain expertise affects outcomes.

A blog post describing an evaluation harness for comparing agentic coding tools and prompts across realistic SWE tasks, with token-cost results and model-specific behavior notes.

A shareable report for AI coding usage that summarizes how you work with tools like Claude Code, Codex, and Cursor, with sign-in via GitHub and an option to get printed copies.

LEVI is a harness-first evolutionary framework for code and prompt optimization. It focuses on reducing LLM cost with diversity-preserving search, role-aware model routing, and a proxy benchmark, and presents comparative results against several existing systems.

A blog post describing a small reinforcement-learning agent trained with PPO to play and beat a Pokelike/Pokerogue-style game, including the input representation, model architecture, and training approach.

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.