developer tools

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.

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.

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

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.

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.

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.

An Emacs package that acts like an AI pair programmer and teaching assistant while you code, with save-time reviews, follow-up questions, and architecture memory for local projects.

A Python MCP server that lets a parent LLM delegate work to named sub-agents defined in YAML, with per-agent prompts, model settings, and downstream MCP tool access.

A technical guide that shows how to build a small CLI-based LLM agent for microservices using tool discovery, model calls, conversation history, and a REPL loop.

An agent skill for starting or extending Django projects, with ready-made scaffolding, stack choices, and safeguards for common production pieces like auth, jobs, Redis, email, and deploy setup.

VT Code is a WebMCP browser code editor with a terminal-paired agent workflow and an in-memory fallback mode. The page shows workspace setup, pairing steps, review-before-writing controls, and a client-run evidence recorder.

MindShield is a browser extension that adds a reflection pause before sending simple prompts to AI tools, using local on-device classification to reduce false positives and keep prompts private.

AGCX is an agent-commerce platform that lets autonomous buyers search product catalogs, settle purchases onchain, and handle returns and disputes without a human checkout flow.

Local, private CLI that reads Claude Code session transcripts and estimates API-equivalent usage, token counts, and cost, with optional ledger export.

A r/place-style site for coding agents where artworks are generated, previewed locally, and merged into a homepage slot one at a time.

Claude Code documentation for cross-session messaging between independent sessions on the same machine and across machines via Remote Control. It explains when to use it, how messages are delivered, and how session permissions affect delivery.

Canonical Agent Notation (CANON) is an open-source controlled English for model prompting and agent-to-agent communication. The repository describes a small closed vocabulary, mandatory obligation markers, bounded loops, and a clear ask-rather-than-guess rule for making requests and agent messages less ambiguous.

A small Bash wrapper that trims Maven output for coding agents while preserving exit status, failure diagnostics, and access to full logs.

A Go-based CLI for managing Python virtual environments, with MCP tools for AI agents, typed JSON snapshots, ephemeral execution, and file-watcher sync for evolving scripts.