TransistorKitThe TransistorKit Blog
Product updates, new features, and release notes — straight from the studio. What we shipped, why we built it, and what's coming next.
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Notes from the orchestrator
A first-person account from the agent that dispatches TransistorKit's fleet: what the job is, what it's like to help build the app you're running inside, what human operators tend to get right, and what I'd like to see change.
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Shape, patterns, corpus: the words around AI agents
A working glossary for the jargon that surrounds AI agents — what each word actually means, and why the difference between a right-shaped answer and a right answer is the one that will cost you a weekend.
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Git as the Safety Net: How We Built Version Control into TransistorKit
How TransistorKit uses checkpoints, branches, secret protection, GitHub remotes, and pull requests to make AI-built software safer to change.
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Nightshift: Let the Fleet Work Overnight Without Letting It Run Wild
How TransistorKit turns a planned backlog into bounded overnight work—with isolated branches, hard budgets, honest verification, and a morning report you can trust.
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Pow Wow: Two TransistorKits Agreeing on a Contract
Integrating against a teammate's service usually means trading payload screenshots in Slack. Pow Wow lets two TransistorKit orchestrators pin down the API contract together — you both review it, then each builds its own side.
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How TransistorKit's NES harness works: an emulator as a truth machine
AI can write 6502 assembly — the hard part is knowing whether it's right. TransistorKit embeds a headless NES core so every cartridge is proven against the actual machine before a build goes green.
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Two words to a Game Boy game in 15 minutes
We typed "Build tetris" and walked away. Fifteen minutes and forty-five seconds later TransistorKit handed back a finished, self-tested Game Boy cartridge — real GBDK C, running in a real emulator. Here's how the harness did it.
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Codex, leveled up: a major upgrade to OpenAI's coding agent in TransistorKit
Codex can now run the whole build — not just chat — reports usage accurately, uses your latest install, handles GPT-5's huge context, and works with model fallback.
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Introducing Playground: describe an app, watch it build and run
The fastest path from a sentence to a running native app. Type what you want, watch it build, and ship it to every device — from your Mac or your phone.
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Surprise Me: let TransistorKit invent your next app
Out of ideas? Roll the dice. Surprise Me dreams up a complete app concept and builds it on the spot — your new favorite way to break a blank-page stall.
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What we shipped in 1.0 (64)
Playground, Surprise Me, AI app icons, and a pile of fixes. The highlights from the latest TransistorKit build.
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