Litlhahlobo tsa Kode
Ho sebelisa khoebo
579 models
Ha ho na letšoao la metsi
Ha ho hlokahale ho ngolisa
Mofuta:
+ GPT-5, Claude, Gemini
Kopa khoutu (kapa kenya faele), khetha ho sheba tlhahlobo,'me u fumane tlhahlobo e nang le bofokoli bo phahameng le litlhaloso tsa file-line. Self-hosted Qwen2.5-Coder e mahala ka tlase ho pool ea letsatsi le letsatsi; premium Claude Sonnet 4 / GPT-5 e ntle bakeng sa liteko tsa polokeho le liteko tse ngata tsa li-file.
Likhetho tse tsoetseng pele
Phello
Tokens e tlase.
Fumana Token e eketsehileng
❤️ U rata Free.ai? Reka ho ba lelapa la hao!
Register ho fumana sehokela sa ho u joetsa le ho fumana li-token tse 25 000 ka motsoalle.
U batla ho feta?
E-ba le tokelo ea ho ingolisa: 30,000 tokens/day
Ho ngolisa
Ho sebetsana le kopo ea hau...
Fumana litlhahlobo tsa kotloloho tsa kotloloho ka AI e mahala. Fumana liphoso, mathata a polokeho, le ho ntlafatsa.
Ho sebelisa Litlhahlobo tsa Kode
1
Tobetsa ho kenya
Tlatsa mongolo, kenya faele, kapa hlalosa seo u se batlang. Ha ho hlokahale ak'haonte.
2
Tobetsa ho theha
AI ea rona e sebetsana le kopo ea hau ka metsotsoana e seng mekae ka ho sebelisa li-models tse ntlehali tsa open-source.
3
Tlosa & arolelana
Kopitsa, kenya kapa arolelana sephetho sa hau. Haholo-holo bakeng sa ho sebelisana le batho ba bang le ho rekisa.
Senya sesebelisoa sena ka API
Automatize ena sesebelisoa ho tloha ho hao code. OpenAI-ka lumellanang REST endpoint, Bearer-token auth, ha ho hlokahale SDK e eketsehileng. Token theko e lumellana le 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."}]}'Li-tools tsa AI tse amanang le mahala
Litlhahlobo tsa Kode - FAQ
Kopa khoutu (kapa kenya faele ea.py /.js /.go /.rs / jj.), Khetha ho hlahloba ho sheba - tlhahlobo ea polokeho, ts'ebetso, litokisetso tse ntle, liphoso tsa ho hlahloba, refactor, ho hlalosa ho bonolo ho qala -'me u khutlele ka morao ho hlahloba ka ho fetesisa le ho ngola litlhaloso tsa line-number. E sebetsa ka lipuo tse fetang 15.
Copilot review ke ka hare ho PR ea hau; Free.ai Code Review ke ad-hoc - beha eng kapa eng, khetha focus, fumana review ka ~ 10 metsotsoana. Ha ho na ho kopanya repo, ha ho na ho kenya. Senya Free.ai bakeng sa pre-PR cleanups, one-off audits, le code u sa e kopantseng ho fihlela joale.
CodeRabbit le SonarCloud li hokahane le CI / repo - ba hokahana le GitHub / GitLab'me ba ngola litlhaloso tsa PR. Free.ai Tlhahlobo ea Kode e thehiloe ho sebatli - kenya snippet, fumana tlhahlobo, ha ho hlokahale ak'haonte. Kopanya, e se e fetotsoe - sebelisa Free.ai bakeng sa ho khutlisa ka potlako, CodeRabbit / Sonar e le gate ea hau ea CI.
Qwen 3 Coder (e sebelitse ka eona, e sa lefelloeng) e na le li-nail tsa ~ 95% tsa litlhahlobo. Khetha DeepSeek R1 bakeng sa liteko tsa ho nahana ka botebo. E-ba le premium Claude Sonnet 4 kapa GPT-5 ha u hloka litlhahlobo tsa li-line tse ngata, liteko tsa polokeho tse thata, kapa ho rarolla li-context tse pharaletseng ka har'a faele e kholo.
OWASP top 10 (SQL injection, auth bypass, XSS, CSRF, SSRF, deserialization e sa sireletseheng, jj.), Ho sebetsana ka sephiri (li-keys tse hahelletsoeng, litokomane tsa ho ngolisa), ho phethela ho kenya, ho itšetleha ka ho tsebahala (ha ho ka fumanoa ho tsoa ho li-import), le mathata a ho kopanya tlhahiso.
Yeah. Pick "Performance" focus. The reviewer sheba bakeng algorithmic-bohlokoa lipotso (O (n²) moo O (n log n) e sebetsa), N + 1 lipotso, litlankane tse sa hlokahalang ka hare hot loops, ho thibela I / O ka async code, le mosebetsi redundant. Liphetho quantify tšusumetso moo ho ka khonehang.
Mofuta oa ho fetola li-refactors o hlahisa li-snippets tsa PELE/KA MOLIMO. Bakeng sa ho lokisa ka ho tobetsa, sebelisa sesebelisoa sa ho fetola li-refactors se fapaneng ho /code/refactor/ - se hlahisa ho ngola ka ho khutla ka ho feletseng. Ho hlahloba li-code ke bakeng sa DIAGNOSIS; ho fetola li-refactors ke bakeng sa FIX.
Code e romelloa ho model ea AI, e sebetsanoa,'me e tlosoa. Ha e bolokehe, ha e sebelisetsoe ho ithuta. Haeba u hloka boinotšing bo phahameng, khetha Qwen 3 Coder (e arolelanoang ka GPUs tsa rona - ha e tlohele liserver tsa rona).
Kopa ho fihlela ho li-characters tsa 10,000 (~ 150 lihlooho tsa k'homphieutha) ka tsela e hlophisitsoeng ka boeona. Li-models tsa Premium Claude / GPT-5 li fana ka ts'ehetso ho fihlela ho li-characters tsa 200K - u ka li ntlafatsa haeba u hloka litlhahlobo tsa faele e felletseng.
E lumellana le.py.js.ts.jsx.tsx.java.go.rs.cpp.c.h.cs.rb.php.swift.kt.sh.sql le ho feta, ho fihlela ho 500KB. Faele e bala ka lehlakoreng la mosebelisi'me e bonts'oa ka pele sebakeng sa ho kenya pele ho se romella.
E botsa mofuta oa ho fumana ka hohle, le litlhaloso tsa khoutu bakeng sa ho lokisa ho khothaletsoang ka bobeli, likhetho, le litlhahlobo ho li-sources tse ntle ka ho fetisisa. Litheko ~3× tokens tse ngata - li-models tsa premium feela (kamore ea ho ngolisa e sa khone ho boloka tlhahiso e felletseng e eketsehang).
Yeah - POST ho /v1/chat/ le lengolo la sistimi le hlalosang ho hlahloba ka ho khetheha le code e le molaetsa oa mosebelisi. Bona /api/ bakeng sa spec e felletseng. Liphetho tsa tlhahlobo li ka arolelanoa ka /share/<token>/.
E-ba le tokelo ea ho ingolisa: 30,000 tokens/day
E etsa akhaontoHa ho hlokahale karete ea mokitlane
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