
CodeHydra
Multi-Workspace IDE for Parallel AI Agent Development
What it does
Codehydra makes it easier to stay focused when working on multiple tasks with AI coding agents. It helps to preserve the whole context in a single window and isolate that context. It uses git worktrees for isolation, VSCode for a great and known developer experience and a tight integration with a MCP makes it possible that the AI agent presents you the next steps right when you come back to a workspace.
Does the same job
all alternatives →



- FOFleetCode – Open-source UI for running multiple coding agentsOct 2025 · github.com · ▲103
Hi HN! I've recently been finding productivity in running parallel CLI coding agents(after not believing in them initially). After having to do a ton of git stashing and branch fumbling, I decided I needed to something to more ergonomically run these agents in their own dedicated spaces. I tried a lot of the existing products but they either were too convoluted or flat out didn't work. Some of them also seem to roll their own chat UI which I don't think is the right approach, I wanted to something to lightly wrap my terminal sessions. So I built FleetCode! It uses git worktrees and let's you…

More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, March 2026
the whole month →

Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com


