AI & Agents
Hyper
Last updated 2026-07-26 · benchmark measured 2026-10-27 — deterministic & reproducible
Hyper is an autonomous coding agent that plans, executes, and submits PRs on real GitHub repos.
Hyper at a glance
Hyper is an autonomous coding agent that turns a plain-language task into a planned, executed, and submitted pull request on a real GitHub repository, aimed at software engineers and development teams who want to delegate coding work while keeping visibility and control.
Good for
- Delegating a coding task described in plain language and getting back a pull request with a diff, test results, and a cost receipt
- Development teams that need to watch every tool call and dollar spent in real time and stop a run before it overspends
- Security-conscious teams that want single-tenant sandboxes, metered credit billing, and no training on their code
Pricing
Free to start, no credit card required; pay-per-use with a monthly frontier credit and a hard metering cap; $10 referral credit for both sides.
Questions people ask
What does Hyper actually do?
It takes a plain-language task, reads your codebase, drafts a priced plan, and opens a pull request that includes a diff, test results, and a cost receipt.
Who is Hyper built for?
It's aimed at software engineers, development teams, GitHub users, and secure enterprise teams who want an autonomous coding agent without losing visibility or control.
Does Hyper have a free plan?
Yes, you can start free with no card required, then it moves to pay-per-use with a monthly frontier credit and a hard metering cap.
How do I keep control over what Hyper does and spends?
Every tool call, thought, and dollar spent streams live to the screen, sessions stop at a spending cap you set, and you can steer or interrupt a run mid-session.
Does Hyper train on my code?
No, the product description states it does not train on user code.
Written by Legit.Show from hyper.asiflow.ai on 2026-09-30. It does not change the score.
Rated 5★ by 4 on Legit.Show.
✓ Verified by the maker on 2026-08-30. Ownership was proven with a meta tag, a DNS record or GitHub admin rights. It does not change the score.
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To cite this score: legit.show/s/hyper-asiflow-ai/2026-10-27. That address never changes; this page moves with every re-measure.
Legit.Show scored Hyper 91/100 on 2026-10-27, measured across all 7 frames from its public surface. legit.show/s/hyper-asiflow-ai/2026-10-27
Is Hyper production-ready?
Legit.Show scores Hyper 91 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Hyper (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Accessibility; its weakest is Performance. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — 35/100
- Accessibility — 100/100
- Security — 100/100How this compares across the catalogue: The Web Security Baseline
- Privacy — 100/100How this compares across the catalogue: The Privacy Gap
- Reliability — 100/100
- Standards — 100/100
- Discoverability — 100/100
What we measured
- Security headers present: CSP, HSTS, X-Frame-Options, X-Content-Type-Options, Referrer-Policy.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 1274 ms to first byte.
- Returns a proper 404 for unknown routes.
- 3 of 3 sampled routes reachable.
- Has a reachable privacy policy.
- Sets cookies / loads scripts with no consent prompt.
- Discoverable: structured data, sitemap, OpenGraph image, canonical URL.
Who it's for
Software engineers · Development teams · GitHub users · Developers seeking autonomous assistance · Secure enterprise teams
Pricing
Free to start with no card required; pay-per-use with monthly frontier credit and hard metering cap; $20 referral credit both ways
Sources and updates
- Description
- Taken from hyper.asiflow.ai's own website on 2026-07-26.
- Operator
- ASI Flow, Inc., as named in hyper.asiflow.ai's terms, privacy page or footer.
- Benchmark
- Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-10-27.
- Ratings
- From signed-in Legit.Show members.
Put together from public information. Hyper's maker verified ownership on 2026-08-30, which does not change the score. If anything here is wrong, tell us and a person will check it.
Visit Hyper → · Alternatives to Hyper → · How this was measured →