Kuongorora kwekodhi
Kushandiswa kwekutengesa OK
380 + mamodheru
Hapana mvura
Hapana kumbobvira kushanyira
Model:
+ GPT-5, Claude, Gemini
Peta kodhi (kana wedzera faira), sarudza kuongorora kutarisisa, uye rega kudzokera kuongorora kwemhando yepamusoro 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 mazhinji-mafaira eongororo.
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Kugadzirisa yako mibvunzo...
Get instant code reviews with free AI. Find bugs, security issues, and improvements.
Maitiro ekuisa Kuongorora kwekodhi
1
Sarudza yako input
Tinya meseji, wedzera faira, kana kuti nyora zvaunoda. Hapana account yaunoda.
2
Tinya kuumba
Our AI inoongorora yako mibvunzo mumasekondi nekushandisa yakanakisa open-source mamodheru.
3
Dhawunirodha & shandisa
Dhawunirodha, kopa kana kugovera yako mhinduro. Yemahara yemunhu uye yekutengesa kushandiswa.
Usashandisa iyi chirongwa kuburikidza neAPI
Automatize iyi chirongwa kubva yako pachako code. OpenAI-inowirirana REST endpoint, Bearer-token auth, hapana zvishoma SDK zvinodiwa. Token mutengo kusangana 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."}]}'Zvinoenderana neFree AI Tools
Kuongorora kwekodhi — FAQ
Peta kodhi (kana wedzera.py /.js /.go /.rs / nezvimwewo faira), sarudza kuongorora kutarisisa - chengetedzo yekuongorora, kubudirira, zvirongwa zvepamusoro, kuongorora zvikanganiso, refactor, mudzidzisi wevatsva - uye uwanezve kuongororwa kwemhando yepamusoro neline-num references. Works on 15+ languages.
Copilot ongororo iri mukati PR yako; Free.ai Code Review i ad-hoc — pedza chero chinhu, pick focus, kuwana ongororo mu ~ 10 masekondi. No repo kubatanidza, hapana kuisa. Usati Free.ai pre-PR kubvisa, one-off ongororo, uye kodhi iwe hauna kuvimbisa kusvika parizvino.
CodeRabbit uye SonarCloud ndivo 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 — shandisa Free.ai yerapid iteration, CodeRabbit / Sonar seCI yako gedhi.
Qwen 3 Coder (self-hosted, free-pool) maoko ~ 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, nezvimwewo), kuchengetedza kwese (hardcoded keys, credentials mulogs), kuongorora kwemushandisi, kuzivikanwa kwezvirwere zvinokuvadza (kana zvichionekwa kubva pakutakura), uye kuburitsa kwekodzero dzekodzero.
Yega. Pick "Performance" focus. 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-click fixes, shandisa zvakasiyana Refactor chirongwa pa / code / refactor / — inogadzira yakazara rewrite. Code Review ndeye DIAGNOSIS; Refactor ndeye FIX.
Kutumira kodhi kune AI model, kuongororwa, uye kubvisa. Hapana kuchengetwa, hapana kushandiswa kwedzidzo. Kana iwe uchida kuchengeta ruzivo rwemunhu wese, sarudza Qwen 3 Coder (inochengetwa neGPU yedu — haizombozodzokera kumaseva 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.
Asks the model for every finding, with code examples for each suggested fix, alternatives, and citations to best-practice sources. Costs ~3× more tokens — premium models only (the self-hosted context window cannot hold the full expanded 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>/.
Ungaishandisa sei iyi chirongwa?