README Generator
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380 + mamodheru
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Model:
+ GPT-5, Claude, Gemini
Kutaura yako project (kana pedza package.json / pyproject.toml / Cargo.toml) uye rega kudzoka a polished README.md — zita, shields, kuisa, quickstart, features, kusimudzira, chitupa. Choose yako project type, urefu, uye tone.
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Kugadzirisa yako mibvunzo...
Kugadzira README mafaera eprojekiti nemahara AI. Professional documentation mumasekondi.
Maitiro ekuisa README Generator
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
README Generator — FAQ
Kutaura yako project mu 2-3 mashoko (kana peji package.json / pyproject.toml / Cargo.toml) uye rega kudzoka a polished README.md — zita, shield mabhaisikopo, tafura yezvinyorwa, kuisa, quickstart, zvinhu, kushandisa, zvinoenderana nechinangwa kusimudzira / chitupa / FAQ zvikamu. Pick project type (library / CLI / webapp / API / mobile / plugin / dataset / paper / template), urefu (minimal → kunyatsojeka), uye tone (professional / friendly / technical / marketing / academic).
readme-so uye makeareadme.com ndezvekunyora-kudza templates — iwe manually tick zvibhokisi uye uwane stock zvidimbu. Free.ai i generative — inonyora kopi yakakodzera YOUR project, inofungidzira zvakakwana kuisa ma commands / API shape / tone kubva kune yako descriptive. Copilot ($10/mo) i inline-IDE uye inogadzira README text paragraph by paragraph sezvaunoita; Free.ai inogadzira iyo yose file muimwe shot. Usashandisa readme-so yepurasitiki nharaunda; Free.ai kana iwe uchida yazvino kopi.
Kana chirevo chisina kujeka, muenzaniso unoisa "TODO" placeholders. Saka, kana uchida kuburitsa, verenga README uye bvisa TODOs (kana shandura nezvinoreva) — tarisa kuburitsa sekutanga dambudziko, kwete sefaira rakakwana.
Yes when checked — a row of 3-6 shields (build, version, license, downloads, coverage) using placeholder URLs you customize to your repo. The model picks sensible defaults based on project type (library gets npm-version or pypi-version; CLI gets install count; webapp gets uptime).
Minimal (10 mativi) yemukati masevhisi hapana munhu achawana. Standard (~ 80 mativi) yeakawanda open-source mapurojekiti — anobata sweet spot ye findability pasina mabwe echinyorwa. Yakadzama (~ 200 mativi) eprojekiti iwe wakazvipira kutengesa. Yakadzama (docs-style, 300 + mativi) kana README iri yako yekutanga docs site.
Iwe unowana yakasimba munyori, mhedzisiro-yakatungamira kopi, pfungwa dzevanhu, dzakasimba CTA. Mapepa anoramba akajeka (hapana zvakagadzirwa zvinhu) asi prosa ndeyekutamba-style. Good for SaaS launch repos, portfolio projects, product-hunt-style releases.
Yeah — sarudza "Academic" tone. The README ine "Citation" chikamu neBibTeX template ne request-if-used line, plus methods and reproducibility fields. Good for research paper repos and model / dataset releases.
Yeah — the result panel has Markdown/Preview toggle buttons. Preview renders client-side with a GitHub-flavored subset (headings, bold/italic, code blocks, inline code, lists, links). Not as polished as GitHub itself — always do a final test by pushing to a repo.
Kugadzira README kwe monorepo root, nyora kuti repo iri monorepo muchikamu chekunyora ("inosanganisirwa ne3 packages: foo, bar, baz") — iyo model ichawedzera tafura yepakeji uye ichasiya kuisa mazano (nekuti kuisa kunoita papakeji). Kuti uite README yepakeji, shandisa chirongwa ichi kamwe chete papakeji.
Qwen 3 Coder (mahara, default) inobata 95% ye READMEs zvakanaka. Qwen 3 30B inonyanya kuomarara uye yakaderera muhuremu hwekutengesa. Premium Claude Sonnet 4 inonyanya kuomarara muhuremu hwekutengesa uye yakaomarara-nguva READMEs - inodhura zvakabhadharwa zviratidzo zvenzvimbo yako yekugara.
The description is sent to the model, processed, and discarded. Not stored, not used for training. For maximum privacy pick Qwen 3 Coder — self-hosted on Free.ai's GPUs.
Yeah — POST to /v1/chat/ with the README system prompt (type + length + tone + section flags) and the project description as the user message. Useful for automating README generation during project scaffolding. See /api/.
Ungaishandisa sei iyi chirongwa?
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