AI & Agents
CodeLazr
Last updated 2026-09-14 · benchmark measured 2026-10-31 — deterministic & reproducible
Browser-based AI coding agent that reads, edits, and commits via the GitHub API.
CodeLazr at a glance
CodeLazr is a browser-based AI coding agent that lets developers read, edit, and commit code to their GitHub repos using the GitHub API, without cloning or running local containers.
Good for
- Developers who want to make AI-assisted code changes without installing anything or cloning a repo
- Teams or individuals who want to use free AI models for coding or bring their own API key
- Developers who want to code from a desktop or mobile browser using the same editor and repos
Pricing
Free: $0, free models + $0.10/mo paid budget, no card. Pro: $10/mo budget. Max: $49/mo budget. BYOK: no subscription needed.
Questions people ask
Is CodeLazr free to use?
Yes, the Free plan costs $0 and requires no card, giving unlimited use of OpenRouter free models plus a $0.10/month budget for paid models.
What do the Pro and Max plans include?
Pro is $10/month and Max is $49/month, with the full amount usable as a monthly AI budget across any supported paid model; both can be canceled anytime from the Usage page.
Can I use my own OpenRouter API key instead of paying CodeLazr?
Yes, you can bring your own OpenRouter or other supported provider key and pay the provider directly, with no CodeLazr budget cap, while using CodeLazr itself stays free.
Which AI models does CodeLazr support?
Any model available through OpenRouter, including free models like Laguna M.1 and North Mini Code, plus BYOK providers such as Gemini, Groq, OpenAI, and GitHub Models.
Does CodeLazr commit changes automatically without my approval?
No, every AI-suggested change is shown as a diff that you approve, reject, or open as a pull request before anything is committed.
Written by Legit.Show from codelazr.com on 2026-10-28. It does not change the score.
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To cite this score: legit.show/s/codelazr-com/2026-10-31. That address never changes; this page moves with every re-measure.
Legit.Show scored CodeLazr 94/100 on 2026-10-31, measured across all 7 frames from its public surface. legit.show/s/codelazr-com/2026-10-31
Is CodeLazr production-ready?
Legit.Show scores CodeLazr 94 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on CodeLazr (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Security; its weakest is Privacy. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — 97/100
- Accessibility — 96/100
- Security — 100/100How this compares across the catalogue: The Web Security Baseline
- Privacy — 75/100How this compares across the catalogue: The Privacy Gap
- Reliability — 100/100
- Standards — 92/100
- 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 — 543 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
Developers · GitHub users · Teams seeking affordable AI coding · Remote/mobile developers · Budget-conscious builders
Pricing
Free tier with free OpenRouter models and $0.10/mo budget (no card required); Pro $10/mo; Max $49/mo
Sources and updates
- Description
- Taken from codelazr.com's own website on 2026-09-14.
- 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 2026-10-31.
Put together from public information, without CodeLazr's involvement. If anything here is wrong, tell us and a person will check it.
Visit CodeLazr → · Alternatives to CodeLazr → · How this was measured →
