Kuongorora kwekodzero
Commercial usage OK
579 mamodheru
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Model:
+ GPT-5, Claude, Gemini
Peta kodhi (kana kurodha pasi faira), sarudza kuongorora kutsvakurudza, uye rega kudzokera kuongororwa kwehutachiona ne file-line references. Self-hosted Qwen2.5-Coder ndeyemahara pasi pezuva nezuva pool; premium Claude Sonnet 4 / GPT-5 zviri nani kune chengetedzo yekuongorora uye makuru multi-file reviews.
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Maitiro ekuisa Kuongorora kwekodzero
1
Sarudza yako input
Tinya tebhu, wedzera faira, kana kuti nyora zvaunoda. Hapana account yaunoda.
2
Tinya kuumba
Our AI inogadzirisa yako mibvunzo mumasekondi nekushandisa yakanakisa open-source mamodheru.
3
Dhawunirodha & shandisa
Dhawunirodha, kopa kana kugovera yako mhinduro. Yemahara yekushandisa personally uye commercially.
Usashandisa iyi chirongwa kuburikidza neAPI
Automatize iyi chirongwa kubva yako pachako code. OpenAI-inowirirana REST endpoint, Bearer-token auth, hapana zvishoma SDK zvinoda. Token mari inoenzana web interface.
curl -X POST https://api.free.ai/v1/chat/ \
-H "Authorization: Bearer sk-free-..." \
-H "Content-Type: application/json" \
-d '{"model": "qwen-coder", "messages": [{"role": "user", "content": "Write a Python function that reverses a string."}]}'Kubatana Free AI Zvirongwa
Kuongorora kwekodzero - FAQ
Peta kodhi (kana kurodha pasi.py /.js /.go /.rs / nezvimwewo faira), sarudza kuongorora kutarisisa - chengetedzo yekuongorora, kubudirira, zvakanakira zvirongwa, kuedza zvikanganiso, refactor, mutsva-inoshamwaridzika mudzidzisi - uye rega kudzokera kuongorora kwakaomarara neline-num references. Works on 15+ languages.
Copilot ongororo iri mukati yako PR; Free.ai Code Review i ad-hoc - pedza chero chinhu, pick focus, kuwana ongororo mu ~ 10 masekondi. No repo kubatanidza, hapana kuisa. Usa Free.ai ye pre-PR cleanups, one-off ongororo, uye kodhi iwe hauna kuvimbisa kusvika parizvino.
CodeRabbit uye SonarCloud CI / repo-yakabatanidzwa - ivo hook GitHub / GitLab uye post PR mashoko. Free.ai Code Review inoshandisa browser - pedza a snippet, kuwana kuongorora, hapana account zvinodiwa. Kuwedzera, kwete kuchinja - kushandisa Free.ai for rapid iteration, CodeRabbit / Sonar sezvako CI gate.
Qwen 3 Coder (yakanaka-inochengetwa, free-pool) inobata ~ 95% yezvirevo. Choose DeepSeek R1 for deep-reasoning audits. Upgrade to premium Claude Sonnet 4 or GPT-5 when you need multi-hundred-line reviews, complex security audits, or extended-context reasoning across a large file.
OWASP top 10 (SQL injection, auth bypass, XSS, CSRF, SSRF, insecure deserialization, etc.), kuchengeta maficha (hardcoded keys, credentials mulogs), kuongorora kwemushandisi, anoziva-asina kusimba dependencies (kana achionekwa kubva kuimports), uye output encoding issues.
Yechokwadi. Pick "Performance" kutarisisa. The reviewer tarisa algorithmic-kuomarara nyaya (O (n²) apo O (n log n) inoteverwa), N + 1 mibvunzo, zvisina kunaka kugamuchirwa mukati Hot loops, kuvharira I / O mu async code, uye redundant basa.
Refactor modhi inogadzira BEFORE / AFTER snippets. Yemumwe-kudzvanya kugadziriswa, shandisa imwe Refactor chigadzirwa pa / code / refactor / - inogadzira yakazara rewrite. Code Review ndeye DIAGNOSIS; Refactor ndeye FIX.
Code inoendeswa kuAI model, inogadziriswa, uye inoparadzwa. Haisi yakachengetwa, haina kushandiswa kudzidzisa. Kana iwe uchida kuchengeta chokwadi chakanyanya, sarudza Qwen 3 Coder (yakanaka-inochengetwa paGPU yedu - haizombozosiya maserver edu).
Peta kusvika pazviratidzo 10,000 (~150 maminetsi epakati pekodzero) panzvimbo yekugara. Premium Claude / GPT-5 mamodheru anotsigira kusvika pazviratidzo 200K — wedzera kana iwe uchida kuongorora faira rakazara.
Yeah — switch to the Upload tab. Accepts.py.js.ts.jsx.tsx.java.go.rs.cpp.c.h.cs.rb.php.swift.kt.sh.sql and more, up to 500KB. File is read client-side and previewed in the paste area before submit.
Anodaro kuti model yese kuwanikwa, ne code mifananidzo yese yakakurudzira kugadziriswa, zvisarudzo, uye zvinyorwa kune best-practice zviwanikwa. Kubhadhara ~ 3 × zvakawanda tokens - premium models chete (wega-hosted context window anogona kuchengeta yakazara yakakura output).
Yeah — POST to /v1/chat/ with a system prompt describing your review focus and the code as the user message. See /api/ for the full spec. Review results are also shareable via /share/<token>/.
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