Hyper, by ASI Flow, plans, codes, tests, and opens PRs in your real GitHub repos — streaming every thought, tool call, and cent. Sandboxed execution, hard spend caps, no training on your code. Start free.

Hey Product Hunt 👋 Today, we’re launching Hyper — the autonomous coding agent that shows its work. The black-box era of AI software engineering needs to end. Coding agents can now modify entire applications, run terminal commands, install dependencies, migrate databases, and open pull requests. Yet developers are often given little more than a spinner followed by a confident “Done.” That is not enough for real software. We built Hyper around a different principle: The more autonomy an AI agent receives, the more evidence, control, and accountability it should provide. Give Hyper a task inside one of your GitHub repositories and it can: ⚡ Understand and search the codebase 🧭 Build a step-by-step implementation plan 💵 Estimate the cost before changing code 🛠️ Write, run, test, and debug inside an isolated sandbox 👀 Stream its tool calls, commands, diffs, tests, and progress ⏸️ Let you interrupt or redirect it while it works ↩️ Checkpoint the workspace and rewind a bad turn 🧠 Remember your repository and development conventions ✅ Verify the implementation before reporting completion 🔀 Commit the result and open a real pull request Hyper is not another chat box attached to a code editor. It is a development cockpit where you can watch the agent operate, inspect the exact files it touches, use the same terminal, review changes as they happen, and see the application running beside the conversation. We also wanted to solve one of the least discussed problems with autonomous agents: unpredictable spending. Every Hyper session includes: • an upfront cost estimate • live spending displayed to the cent • a configurable session budget • enforceable monthly limits • automatic stopping when the cap is reached • loop detection that pauses unproductive execution No surprise invoice. No silent overage. No agent burning through a budget while pretending to make progress. Each session runs inside its own single-tenant, ephemeral cloud sandbox. Your repository is never used to train models, your GitHub token never enters the sandbox, and every tool call and code change remains auditable. Hyper is free to start, requires no credit card, and includes enough credit to run a real task against your own repository. We built it for developers and teams who want the productivity of autonomous coding without surrendering visibility or control. We would love your feedback—especially on the moments where you currently stop trusting an AI coding agent. Try Hyper and give it a real task: https://hyper.asiflow.ai/ Thank you for being part of our launch. — Sherief and the ASI Flow team

The streaming transparency into tool calls and spend is honestly pretty refreshing, you can actually see where the cents are going. Spun up a sandboxed PR in a test repo and the hard spend cap gave me peace of mind to just let it run.

@turgay13388 Thank you, Turgay! Really appreciate you giving Hyper a try and sharing your experience.

Transparency was one of our core design principles from day one. We wanted users to understand exactly what the AI is doing, which tools it’s using, and where every cent is being spent, without the usual black-box experience.

I’m glad the hard spend cap gave you the confidence to let it run. We’d love to hear any feedback or ideas as you continue using it. Thanks again for the support! 🚀

@turgay13388 Thank you, Turgay! Really appreciate you giving Hyper a try and sharing your experience.

I’m glad the hard spend cap gave you the confidence to let it run. We’d love to hear any feedback or ideas as you continue using it. Thanks again for the support! 🚀

Hyper

Autonomous coding with proof, control, and hard cost caps

Autonomous coding with proof, control, and hard cost caps