CodePus shine an AI-native IDE: 10 built-in yana aiki yanayi — Ask, Tsari, Wakili, YOLO, Design and Ƙari — paired da multi-Wakili orchestration and self-healing gyara kurakurai. Daga Q&Ɗaya, Tsari and lambar to design and gyara kurakurai, Duka in one place. Canza yanayi per aiki, and AI works within Dama Izinin boundaries.
Akwai shi don Windows · macOS · Linux. Free matakin har abada.
industry's Farko AI automation pipeline covering entire software engineering lifecycle. super Wakili advances stage by stage under contract, da fixed Shigarwa/Fitarwa/acceptance criteria — Ɗaya'ɗaya Tsallake, Ɗaya'ɗaya gaps.
Aiki recognition · Nau'i ganowa · Template matching
Multi-source intake · Structured follow-ups · Multi-Samfuri debate
Zaɓin nau'in · Tsarin API · Raba kayayyaki
URL→HTML · Hoton→Gabatarwa · Murya→Tsarin
Kai-ganowa · Dependency install · Environment Duba
Aiki breakdown · Kai-lambar · Change Rahoto
Tiered testing · Kai-diagnosis · Self-healing
Takardu samar · Tsaro Bincika · Inganci gate
Artifact packaging · Canary Ɗora · Delivery sign-ɗaya kashe
Monitoring & alerting · Runbooks · Feedback maimaita
Three sauri-Fara templates covering every scenario
S1→S9 cikakken sarrafa kansa, ciki har da gine-gine, muhalli, gwaji, gating, saki da kuma ayyukan
S1→S5 tare da gwajin madauki, URL scraping + reverse bukatun + atomatik aiwatar
S1→S5 ya gane da data kasance code da kuma iterates incrementally
Ganin kowane wakili a ainihin lokacin, ci gaban mataki da sakamakon ƙofar inganci. Lokacin da babban wakili ke gudana, ba ku ga akwatin baƙar fata kuna ganin cikakken tsarin lokaci na mataki, sandunan ci gaba da jerin abubuwan da za a kawo.
S0→S9 visual jerin lokaci, Yanzu stage highlighted, ci gaba at ɗaya glance
Nasara rate, average duration, failure point tracking — every delivery quantified
wucewa / gargadi / gazawa uku-mataki gating babu wani jirgin ruwa har sai da ta cancanta
Bukatar, samfurori na zane, rahotanni na gwaji, jerin bayarwa duk a cikin kallo ɗaya
Ba ɗaya simple Copilot — it's an AI architect, shiri sarrafa and chief engineer da full lifecycle authority. One instruction, daga requirements to launch, orchestrating 12 specialist sub-agents autonomously.
Ya umurci wakilai 12 su ba da cikakkun ayyukan software daga ƙarshe zuwa ƙarshe
Automated S0→S9 ten-stage orchestration da smart Tsallake/parallel/rollback
7 masu samarwa, tabbatar da tsarin sasantawa, yanke shawara bisa yarda
Test → diagnose → fix → retest, 3 kai-fix zagaye by Asali
Kowane mataki da aka rufe Pass / Warn / Fail babu abin da ya wuce wanda bai sadu da bar
Bukatar gine-gine zane code gwajin kayan tarihi gudana ta hanyar dukan sarkar, sifili bayanai hasara
Human confirmation at Maɓalli wurin dubawa, autonomous decisions otherwise — efficiency and safety in parallel
Every sub-Wakili shine an expert in its niche — independent Taga, Zama, Umarni and acceptance criteria. Launch individually or orchestrated by super Wakili.
S1→S3 · Daga requirements to samfuri
Multi-source intake (rubutu/voice/URL/video/takardu), structured follow-ups, multi-Samfuri debate, Fitarwa PRD + acceptance criteria + fasali-UI mapping
Zaɓin fasahar fasaha, rarraba kayan aiki, jerin API, ƙirar samfurin bayanai ƙirar gine-gine ta atomatik
URL→HTML reverse engineering, image→prototype, sketch→code, gyaran zane na murya, ingancin taswirar fasalin UI
S4→S5 · Daga environment to lambar
Automated environment ganowa (doctor), dependency install (setup), runtime verification (verify) — shirye in one danna
Karanta requirements and design artifacts, decomposes aiki tree, implements lambar, emits change Rahoto and risk ba
S6→S7 · Testing, takardu, Tsaro & CI/CD
Unit→integration→E2E→RPA tiered testing, kai-diagnosis + kai-fix + retest loop (configurable zagaye)
Aikace-aikacen gine-gine na atomatik, API, jagororin masu amfani da jagororin aiki daidaitaccen kai tsaye tare da lambar
Dependency Bincika, risk grading (Babba/Medium/Low), fix shawara, Saki-blocking decisions
Pipeline aiwatar, gate aggregation, artifact verification — automated CI/CD
S8→S9+ · Daga launch to maimaita
Artifact packaging, Saki gates, canary deployment dabara, human confirmation domin production, delivery manifest
Dokokin saka idanu & gargadi, samar da Runbook, gudanawar amsawa ga abin da ya faru, saitunan bayanan bayanai / turawar uwar garke
Tattara batutuwa / mai amfani feedback, fifita su, dannawa daya loops baya zuwa S1 don fara na gaba sakewa
Gyara kurakurai yanayi Gudanar ɗaya full self-healing pipeline: Gudanar tests → kai-diagnose → Aiwatar fixes → re-test, looping until they pass — freeing you daga repetitive manual gyara kurakurai.
Unit · Integration · E2E · RPA tiered aiwatar
Aggregate Rubutu, traces, hoton allo to locate tushe dalili
Automatically Aiwatar fix patches based on diagnosis
Kai-retest Bayan fix to Tabbatar resolution
CodePus na goyon bayan shigarwa mai yawa a cikin hira da kowane yanayin aiki. Bayyana bukatunku a hanya mafi kyau.
Describe requirements and intent in natural Harshe
Rikodi → Kwafi → Shirya → Tabbatar, ASR tana goyan bayan harsuna da yawa
Kai-scrape web shafi, configurable depth (0=full site)
Hoton allo→HTML, Sketch→Protootype, Hoton→Code
Binciken bidiyo na multimodal don cire buƙatu da ƙira
PDF/DOC/MD ta atomatik a cikin buƙatun da aka tsara
Got ɗaya complex requirement? Multiple AI Samfuri debate contested maki and Fitarwa ɗaya converged Tsari. Ba one Samfuri's guess — multiple Samfuri colliding into best answer.
At least 2 different Samfuri in debate
User can Tsayar anytime and take latest document
Disagreements → merged conclusions → Buɗe tambaya Duka Rubutu
Yana rufe dukkan manyan masu samar da AI, ta atomatik yana turawa zuwa mafi kyawun samfurin don kowane aiki. Sauyawa ta dannawa ɗaya, koyaushe ana daidaita shi da sabbin damar. Babu kulle-kulle na mai siyarwa. Maɓallanku, ikon ku.
Complex logic · Math proofs · Multi-step Tsari
Smart lambar · Sake tsara · Kai testing
Hoto+rubutu · UI Hoton allo nazari · Visual tunani
Miliyoyin windows · Cikakken sanarwa na repo
Millisecond inference · Real-Lokaci Kammala · Streaming
Gida deployment · Bayanan stays on-premise · Compliance
OpenAI mai jituwa · Aikace-aikacen sirri · Samfurin da aka shirya da kansa
Daga millisecond Kammalawa to deep lambar understanding, every Cikakken bayani engineered domin peak efficiency.
Proprietary Kammala Samfuri da millisecond Amsa, multi-line prediction, function-level samar. Mahallin-aware precision.
Zaɓɗaya lambar, describe changes in natural Harshe, AI rewrites instantly. Diff Dubawa + AI review — see Kafin you change.
Semantic Fihirisa of your entire Tushen lamba. Nema lambar in natural Harshe, understand ginin gine intent beyond rubutu matching.
Model Context Protocol yana haɗa kayan aikin waje, .codepus / dokoki yana tilasta ƙa'idodin coding damar AI mai yawa.
CodePus yana ba da cikakken tsaro don kamfanoni su iya amincewa da amfani da AI coding.
One-danna Sirri yanayi — zero lambar an aika to Girgije. Use Gida Samfuri domin sensitive shiri, fully offline.
SAML / OIDC kamfanin auth, SCIM auto-daidaitawa kujeru, unified ainihi management.
Kammala operation dubawa trail, meeting SOC 2, ISO 27001 and Wani compliance requirements.
Full on-premise deployment, bayanan never leaves your Yanar gizo. Built domin finance, government, and babba-Tsaro environments.
Share umarnai, Ƙa'ida, and Kayan aiki configs. Unified Ƙungiya AI lambar experience — new mamba onboard instantly. Per-mamba AI Amfani and lambar samar analytics.
Na yi amfani da rubuta code, yanzu na bayyana bukatun da kuma super wakili sadar daga S1 zuwa S8 autonomously.
Jami'ai 12 a kowane matsayi, daga ƙarshe zuwa ƙarshe daga buƙatu zuwa ayyukan.
One-danna URL scraping → reverse nazari → samfuri → lambar. Simulating ɗaya competitor's site nadewa daga 2 weeks to 2 hours.
Ba kawai kammala lambar da sauri ba wata sabuwar hanyar aiki a cikin Q&A, tsarawa, coding, zane da kuma gyarawa. Yanayi 10 + aiki tare da wakilai da yawa.