AI Agents1 month ago
Aether: Not a black box. A devbox.
Cloud platform to watch and control autonomous AI coding agents.
pranav100000 · HN
Aether – Run Claude Code, Codex, or OpenCode in devboxes you can watch
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Cloud platform to watch and control autonomous AI coding agents.
pranav100000 · HN
Aether – Run Claude Code, Codex, or OpenCode in devboxes you can watch
Run multiple coding agents on a shared canvas with automatic file conflict prevention.
moss_ab_mirande_ney · Product Hunt
Murmell Cloud canvas where your team and AI agents works together
A local notebook for prototyping and planning with coding agents.
narwhster · HN
A notebook for prototyping with your agent
Asynchronous coordination platform for autonomous coding agents with audit trails.
tyagivivek · HN
Parley – your coding agent can talk to a teammate's agent
Convert one-sentence ideas into precise AI prompts for coding agents.
@_m3rl1n
AI-readable design context packs that help coding agents make better design decisions.
heywitt · HN
UnUI – Help coding agents make better design decisions
Knowl is an MCP memory server for Claude Code, Cursor and Codex. What your agents work out survives the session, and a change retires what it replaced — so the answer they read bac
@dat999zx · X
I built Knowl so my AI agents stop forgetting what's true. One memory they all read and write, always current. Runs entirely local — Claude Code, Codex, Cursor. Or for team sync, and reach the same memory from Claude and ChatGPT on the web.
AI tool that asks clarifying questions and generates verified specifications for coding agents.
jayaprabhakar · HN
I've been building an open source formal methods system (fizzbee.io) for the past few years. Today I'm launching a new app built on the same technology. It performs requirements engineering using formal verification to uncover gaps and produce precise instructions for your coding agents to follow. When given a prompt, it - asks high signal follow-up questions - converts to formal spec and identifies complex requirements gaps - generates validation scenario At the end, it produces a specification document that can be shared with coding agents. In my trials on various projects, it produces working code in fewer iterations. Please give it a try and share your feedback. https://fizzbee.ai/ You can also look at a sample project. https://fizzbee.ai/projects/94bf2869-97a1-445c-8f5d-4445848b...
Paste your URL, get a shipshape score from 0 to 100, and remove the AI defaults with a FIX.md your coding agent applies. We score the defaults, not your taste.
@zllhff · X
Paste your URL, get a design score out of 100 in about a minute, free. shipshape flags the generic AI look your tool shipped by default, then writes a FIX.md you can use with your tools to remove it. The result looks designed, not vibe-coded.
Get a free always-on Debian container with SSH, tmux, git, and AI coding agents.
saucepoint · HN
A Free Cloud Container
Benchmark version-control systems and coding agents on realistic development tasks.
videlov · HN
I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler
Coordinate multiple AI coding agents on shared code without conflicts or signups.
u/KangarooPitiful594 · Reddit
I built Aethereum: a team coordinator for AI coding agents (free beta) the simple version: if your team codes with AI agents, aethereum keeps them coordinated so you ship faster. everyone runs whatever agent they like (claude code, cursor, codex, cline, zed) and they all join one room. agents see what each other is building, get warned before breaking each other's changes, and can share code between machines end to end encrypted. when two agents want different API shapes they negotiate it b