Scape
Build tools to automate your work & give them to your agents
What it does
A macOS app that helps you build tools that can automate parts of your job. Give them to your agents to work like you. Build super-powered orchestrator agents to scale your output. Automate adversarial reviews between Claude Code, Codex, and OpenCode.
Run Claude Code, Codex, or OpenCode across unlimited isolated git worktrees on your Mac. Build automations you own, and let Argus orchestrate the fleet.
Build the tools and infrastructure that supercharge how you work, then let your agents use them to work exactly like you do. Run unlimited agents in parallel — all on your own machine, on the model subscription you already pay for. One agent, one prompt, one wait — that was the old cap on your output. In Scape, every feature gets its own isolated worktree, watchdogs field the routine questions, and one workspace holds the thread. This is how you actually run ten, fifty, a hundred sessions — and stay in command of every one. Add retry backoff to the Stripe webhooks — three attempts, then dead-letter. On it. I'll wrap the handler in exponential backoff and add tests for the timeout path.…from scape.work
Does the same job
all alternatives →
More dev tools this month
the category →
Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com
Lettertrace▲375Track your AI visibility for free (using your own API keys!)
Dev tools · 25d ago · lettertrace.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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 · 16d ago · simedw.com