🚨BREAKING: A developer on GitHub just built a complete operating system for AI coding agents and it has 40.9K stars on GitHub. It's called Superpowers, and it fixes everything broken about how Claude Code and Codex actually write software. Right now, most people fire up their coding agent and just… let it go. The agent guesses what you want, writes code before understanding the problem, skips tests, and produces spaghetti you have to babysit. Superpowers fixes all of that. Here's what happens when you install it: → Before writing a single line, the agent stops and brainstorms with you. It asks what you're actually trying to build, refines the spec through questions, and shows it to you in chunks short enough to read. → Once you approve the design, it creates an implementation plan detailed enough that "an enthusiastic junior engineer with poor taste and no judgement" could follow it. → Then it launches subagent-driven development. Fresh subagents per task. Two-stage code review after each one (spec compliance, then code quality). The agent can run autonomously for hours without deviating from your plan. → It enforces true test-driven development. Write failing test → watch it fail → write minimal code → watch it pass → commit. It literally deletes code written before tests. → When tasks are done, it verifies everything, presents options (merge, PR, keep, discard), and cleans up. The philosophy is brutal: systematic over ad-hoc. Evidence over claims. Complexity reduction. Verify before declaring success. Works with Claude Code (plugin install), Codex, and OpenCode. This isn't a prompt template. It's an entire operating system for how AI agents should build software. 100% Opensource. MIT License.

Mar 19, 2026 · 8:35 PM UTC

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Replying to @hasantoxr
Great share broo
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Replying to @hasantoxr
$GSD has an AI OS...GSD 2.0
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Replying to @hasantoxr
40k stars in how long though? the github star velocity on ai dev tools right now is insane. gonna check this out for our workflow
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Replying to @hasantoxr
The mandatory TDD and two-stage review are what make this work. Without gates between brainstorm→plan→build→test, agents drift. The OS layer enforcing structure matters more than the model choice.
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Replying to @hasantoxr
Has anyone built anything with this yet? What's the review from someone who's used this to ship something?
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Replying to @hasantoxr
40K stars isn't about feature quality—it's developers screaming for one default answer to end their choice fatigue. The more complex the ecosystem, the stronger the pull toward simple certainty.
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Replying to @hasantoxr
the real insight: agents don't have a capability problem — they have a *planning* problem. "just let it go" is the wrong mental model for agentic coding. slowing down before the first line of code is the actual unlock.
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Replying to @hasantoxr
This shifts coding agents from "generation" to "execution systems".....but eval still determines whether the loop actually improves over time.
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Replying to @hasantoxr
the "brainstorm before writing a single line" part is doing a lot of heavy lifting here, that's exactly where most agent workflows fall apart
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Replying to @hasantoxr
How do we know if 39K of those stars are from bots? Too many repos with crazy star counts and breaking lead ins. smh
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