I-IDE ye-AI-native enezindlela zokusebenza eziyi-10 ezakhelwe ngaphakathi, ukuhlela ama-agent amaningi, ukuzenzela ukucubungula amaphutha nokuqondisa okuhlakaniphile kwemodeli eminingi ehlanganisa uchungechunge lonke lobunjiniyela kusuka ku-Q & A, ukuhlela nokwenza ikhodi kuya ekwakhiweni, ekucubunguleni amaphutha nokulethwa
industry's Okokuqala AI automation pipeline covering entire software engineering lifecycle. super I-ejenti advances stage by stage under contract, nga fixed Okufakwayo/Okuphumayo/acceptance criteria — Cha Weqa, Cha gaps.
Umsebenzi recognition · Uhlobo ukuthola · Template matching
Multi-source intake · Structured follow-ups · Multi-Imodeli debate validation
Ukukhethwa kwe-stack · ukuklanywa kwe-API · Ukuhlukaniswa kwamamojula
URL→HTML · Isithombe→I-Prototype · Izwi→I-Mockup
Okuzenzakalelayo-ukuthola · Dependency install · Health Hlola
Umsebenzi breakdown · Okuzenzakalelayo-ikhodi · Change Umbiko
Tiered testing · Okuzenzakalelayo-diagnosis · Self-healing loop
Imibhalo khiqiza · Ukuvikeleka Skena · Ikhwalithi gating
Artifact packaging · Canary Sakaza · Delivery sign-valiwe
Monitoring & alerting · Runbooks · Feedback phinda
Three ngokushesha-Qala templates covering every scenario
S1→S9 ezizenzakalelayo ngokugcwele, ezihlanganisa izakhiwo, imvelo, ukuhlolwa, ukufakwa, ukukhululwa kanye nemisebenzi
S1→S5 nge-loop yokuhlola, ukuskena kwe-URL + izidingo eziphambene nomqondo + ukufakwa okuzenzakalelayo
S1→S5 ibona ikhodi ekhona futhi iphendule kancane kancane
Akunjalo okukodwa simple ikhodi Qedela — it's an AI architect, umklamo phatha and chief engineer nga full lifecycle authority. One instruction, kusuka requirements to launch, orchestrating 12 specialist sub-agents autonomously.
Iyala ama-sub-agent angu-12 ukuthi ahambise amaphrojekthi e-software aphelele kusuka ekugcineni kuya ekugcineni. Ihlanganisa izidingo → izakhiwo → ukuklama → ukufaka amakhodi → ukuhlola → ukukhulula → imisebenzi.
Automated S0→S9 ten-stage orchestration nga smart Weqa/parallel/rollback — Cha human touch required
Abahlinzeki abayisikhombisa, ukuqinisekiswa kwemodeli ehlukene, izinqumo ezisekelwe ekuvumelaneni akukho kubandlululwa kwemodeli eyodwa
Test → diagnose → fix → retest, 3 okuzenzakalelayo-fix imijikelezo by Okuzenzakalelayo — escalates to humans only on overflow
Isiteji ngasinye sivaliwe Pass / WARN / Fail akukho okudlulayo okungahlangabezani nebha
Izidingoizakhiwoukwakhiwaikhodiizinto zokuhlola zihamba kulo lonke uchungechunge, ukulahlekelwa kolwazi okuyisisekelo
Human confirmation at Ukhiye indawo yokuhlola, autonomous decisions otherwise — efficiency and safety in parallel
Every sub-I-ejenti kuyinto an expert in its niche — independent Iwindi, Iseshini, Umyalo and acceptance criteria. Launch individually or orchestrated by super I-ejenti.
One-chofoza full ukugeleza · Minute-level delivery · Zero manual stitchingMulti-source intake (umbhalo/voice/URL/video/imibhalo), structured follow-ups, multi-Imodeli debate, Okuphumayo PRD + acceptance criteria + isici-UI mapping
Ukukhethwa kwe-stack yezobuchwepheshe, ukubola kwamamojula, uhlu lwe-API, ukuklanywa kwemodeli yedatha i-auto-generates architecture draft
URL→HTML reverse engineering, image→prototype, sketch→code, ukuhlela design ngezwi, isici-UI ukuqinisekiswa kwebalazwe
Automated environment ukuthola (doctor), dependency install (setup), runtime verification (verify) — kulungile in one chofoza
Funda requirements and design artifacts, decomposes umsebenzi tree, implements ikhodi, emits change Umbiko and risk akunjalo
Unit→integration→E2E→RPA tiered testing, okuzenzakalelayo-diagnosis + okuzenzakalelayo-fix + retest loop (configurable imijikelezo)
Izenzakalelayo idala imibhalo yezakhiwo, imibhalo ye-API, imibhalo yomsebenzisi nemikhombandlela yokusebenza ivumelaniswe bukhoma nekhodi
Dependency Skena, risk grading (Phezulu/Medium/Low), fix isiphakamiso, Ukukhishwa-blocking decisions
Pipeline sebenzisa, gate aggregation, artifact verification — automated CI/CD
Artifact packaging, Ukukhishwa gates, canary deployment icebo, human confirmation ngoba production, delivery manifest
Imithetho yokuqapha nokuxwayisa, ukudala i-Runbook, ukugeleza kokuphendula izenzakalo, ukwakheka kwedatha / ukusetshenziswa kweseva
Iqoqa izinkinga / impendulo yomsebenzisi, ibeka phambili, ngokuchofoza okukodwa i-loop emuva ku-S1 ukuqala ukuphindaphinda okulandelayo
Ukubonakala kwesikhathi sangempela isimo ngasinye se-ejenti, inqubekela phambili yesiteji nemiphumela yekhwalithi-gate. Lapho i-super agent isebenza, awuboni ibhokisi elimnyama ubona umugqa wesikhathi wesiteji esigcwele, imigoqo yenqubekela phambili nohlu lwezinto ezilethwayo.
S0→S9 visual umugqa wesikhathi, Okwamanje stage highlighted, inqubekela at okukodwa glance
Impumelelo rate, average duration, failure point tracking — every delivery quantified
Pass/Warn/Fail ezintathu ezingeni gating lutho imikhumbi kuze kube yilapho efinyelela
Izidingo, amadivayisi okuqala, imibiko yokuhlola, uhlu lokulethwa konke ekubukeni okukodwa
Lungisa amaphutha imodi Gijimisa okukodwa full self-healing pipeline: Gijimisa tests → okuzenzakalelayo-diagnose → Sebenzisa fixes → re-test, looping until they pass — freeing you kusuka repetitive manual lungisa amaphutha.
Unit · Integration · E2E · RPA tiered sebenzisa
Aggregate Ilogi, traces, isithombe-skrini to pinpoint umsuka imbangela
Automatically Sebenzisa fix patches based on diagnosis
Okuzenzakalelayo-retest Ngemuva fix to Qinisekisa resolution
CodePus isekela ukufaka multi-modal ku-chat futhi zonke izindlela zokusebenza.
Got okukodwa complex requirement? Multiple AI Imodeli debate contested amaphuzu and Okuphumayo okukodwa converged Uhlelo. Akunjalo one Imodeli's guess — multiple Imodeli colliding into best answer.
At least 2 different Imodeli join debate
User can Misa anytime and take latest consensus doc
Disagreements → merged conclusions → Vula umbuzo Konke Ilogi
Kusuka millisecond Ukuqedela to deep ikhodi understanding, every Imininingwane engineered ngoba peak efficiency.
Proprietary Qedela Imodeli nga millisecond Impendulo, multi-line prediction, function-level khiqiza. Umongo-aware precision ngoba your Okulandelayo Hambisa.
Khetha ikhodi, describe changes in natural Ulimi, AI rewrites instantly. Diff Isibonelo + AI review — see Ngaphambili you change.
Semantic Inkomba of your entire Isisekelo sekhodi. Sesha ikhodi in natural Ulimi, understand izakhiwo intent beyond umbhalo matching.
Built-in AI Agent understands your entire codebase, supports multi-turn conversation, @file precise references, full context continuity.
Izithunywa zangemuva zenza imisebenzi eyinkimbinkimbi ama-refactors amaningi, ukuhlolwa kokukhiqiza, ukuzingela izimbungulu ngaphandle kokukucindezela ukuba ulinde.
Ukubuyekezwa okuzenzakalelayo kwe-AI kudonsa izicelo, kukhomba amaphutha angenzeka, izinkinga zokusebenza nezingozi zokuphepha, futhi kuphakamisa ukulungisa.
Ukuhlanganisa bonke abahlinzeki abakhulu be-AI, ukuqondisa ngokuzenzakalelayo kumodeli engcono kakhulu yomsebenzi ngamunye. Ukuchofoza okukodwa, njalo kuvumelaniswe namakhono wakamuva. Akukho ukuvalwa komthengisi. Izinkinobho zakho, ukulawula kwakho.
Complex logic · Math proofs · Multi-step Uhlelo
Smart ikhodi · Hlela kabusha · Okuzenzakalelayo testing
Isithombe+umbhalo · UI Isithombe-skrini ukuhlaziya · Visual ukucabanga
Izigidi zamathokheni · Ukuqaphela ngokugcwele i-repo
Millisecond inference · Real-Isikhathi Qedela · Streaming
Okwasendaweni deployment · Idatha stays on-premise · Compliance
Ukuhambisana ne-OpenAI · Ukufakwa kwangasese · Amamodeli azenzekelayo
Ngokusebenzisa MCP protocol, imithetho yephrojekthi, kanye nemodi yobumfihlo, amakhono e-AI we-CodePus anweba ngaphandle kwemingcele.
Connect databases, APIs, imibhalo and external Ithuluzi via Imodeli Umongo Protocol ngoba infinite AI extension. Built-in MCP marketplace, one-chofoza install.
Chaza izindinganiso zokubhala amakhodi nezingqinamba ze-tech stack ngokusebenzisa amafayela wemithetho ezingeni lephrojekthi, uqinisekise ukuthi ikhodi eyenziwe yi-AI ihlangabezana nezindinganiso zeqembu.
One-chofoza Ubumfihlo imodi — zero ikhodi kuthunyelwe to Ifu. Use Okwasendaweni Imodeli ngoba sensitive umklamo, fully offline.
I-AI ifunda okukhipha okuphelile, iqonde amaphutha wokwakha, inikeze izixazululo zokuxazulula ngokuzenzakalelayo futhi izenze ngokuqondile.
AI understands ikhodi intent, okuzenzakalelayo-suggests hlela kabusha Uhlelo. Supports function ukukhipha, variable Qamba kabusha, structure optimization.
Use @ to reference files, folders, code symbols, doc links — let AI precisely understand your intent.
Share izikhuthazo, Umthetho, and Ithuluzi configs ngoba okukodwa unified Ithimba AI ikhodi experience.
Share izikhuthazo, Umthetho, and Ithuluzi configs. Unified Ithimba AI ikhodi experience — new ilunga onboard instantly.
Per-ilunga AI Ukusetshenziswa, Imodeli consumption, and ikhodi khiqiza Isimo to optimize Ithimba efficiency.
Ukulawulwa kokufinyelela okusekelwe ezindinganisweni ezinemibala ephelele nokuphathwa kwezinga lomlawuli, ilungu, nombukeli.
CodePus yakho iyimpahla yakho eyigugu kakhulu. I-CodePus inikeza ukuphepha okuphelele ukuze amabhizinisi akwazi ukuzethemba ukusebenzisa CodePus ye-AI.
One-chofoza Ubumfihlo imodi — zero ikhodi kuthunyelwe to Ifu. Use Okwasendaweni Imodeli ngoba sensitive umklamo, fully offline.
SAML / OIDC embonini, SCIM auto-sync izihlalo, ukuphathwa ubunikazi ezihlanganisiwe.
Qedela operation ukuhlola trail, meeting SOC 2, ISO 27001 and Okunye compliance requirements.
Full on-premise deployment, idatha never leaves your Inethiwekhi. Built ngoba finance, government, and phezulu-Ukuvikeleka environments.
Hhayi nje ukuqedela ikhodi ngokushesha indlela entsha ngokuphelele yokusebenza ku Q & A, ukuhlela, ukufaka ikhodi, ukuklama kanye nokulungisa iphutha. Imodi 10 + multi-agent umsebenzi weqembu. ezingeni khulula phakade.