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Hyper

Autonomous coding with proof, control, and hard cost caps

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.

Top comment

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

About Hyper on Product Hunt

Autonomous coding with proof, control, and hard cost caps

Hyper was submitted on Product Hunt and earned 5 upvotes and 3 comments, placing #27 on the daily leaderboard. 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.

On the analytics side, Hyper competes within Design Tools, Developer Tools and Artificial Intelligence — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how Hyper performed against the three products that launched closest to it on the same day.

Who hunted Hyper?

Hyper was hunted by Sherief Attia. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Reviews

Hyper has received 2 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.

For a complete overview of Hyper including community comment highlights and product details, visit the product overview.