CodePus isn't just another AI code completion tool. It ships with a Super Agent + 12 specialized sub-agents covering requirements → architecture → design → coding → testing → release → operations. Click 'From Idea to Delivery' and let AI handle the rest.
Available for Windows · macOS · Linux. Free tier forever.
The industry's first AI automation pipeline covering the entire software engineering lifecycle. The Super Agent advances through stage contracts step by step — each stage has fixed inputs, outputs, and acceptance criteria. No skipping, no gaps.
Task identification · Type classification · Quick templates
Multi-source collection · Structured follow-up · Multi-model debate
Tech stack selection · API design · Module decomposition
URL→HTML · Image→Prototype · Voice→Design
Auto-detection · Dependency install · Environment validation
Task decomposition · Auto-coding · Change reports
Multi-level tests · Auto-diagnosis · Self-healing fixes
Doc generation · Security scan · Quality gate
Build artifacts · Canary deploy · Delivery confirmation
Monitoring & alerts · Runbook · Feedback iteration
Three quick templates covering all scenarios
S1→S9 full-process automation with architecture, environment, testing, gates, release, and operations
S1→S5 with test loop — URL scraping + reverse requirements + auto implementation
S1→S5 identifies existing code for incremental iterative development
Monitor every agent's status, stage progress, and quality gate results in real time. When the Super Agent runs, you don't see a black box — you see a complete stage timeline, progress bars, and artifact inventory.
S0→S9 visual timeline with current stage highlighted — know progress at a glance
Success rate, avg duration, failure point tracking — quantify every delivery
Pass/Warn/Fail three-tier gates — no pass, no proceed
Requirements docs, design prototypes, test reports, delivery checklists — all in one view
Not just another Copilot — it's an AI architect, project manager, and chief engineer with full lifecycle decision authority. One command, from requirements to deployment, autonomously orchestrating 12 specialized sub-agents.
Commands 12 sub-agents to deliver complete software projects end-to-end
S0→S9 ten-stage auto-scheduling with smart skip/parallel/rollback
7 Providers, multi-model cross-validating for consensus decisions
Test→Diagnose→Fix→Retest, 3 auto-fix rounds by default
Pass/Warn/Fail three-tier gating at every stage, no pass no proceed
Req→Arch→Design→Code→Test artifacts flow through the entire chain, zero info loss
Human confirmation at critical nodes, autonomous at non-critical, efficiency and safety in parallel
Each sub-agent is a domain expert — with its own window, session, dedicated commands, and acceptance criteria. Run independently or orchestrated by the Super Agent.
S1→S3 · From requirements to prototype
Multi-source collection (text/voice/URL/video/docs), structured follow-up, multi-model debate, outputs PRD + acceptance criteria + feature-UI mapping
Tech stack selection, module decomposition, API inventory, data model design — auto-generates architecture draft
URL→HTML reverse, image→prototype, sketch→code, voice-driven design modification, feature-UI mapping validation
S4→S5 · From environment to code
Auto environment detection (doctor), dependency install (setup), runtime validation (verify) — one-click ready
Reads requirements and design artifacts, auto-decomposes task trees, implements code, outputs change reports and risk notes
S6→S7 · Test, docs, security & CI/CD
Unit→Integration→E2E→RPA tiered testing, auto-diagnosis + auto-fix + retest loop (configurable rounds)
Auto-generates architecture docs, API docs, user manuals, ops guides — always in sync with code
Dependency scanning, code risk grading (High/Medium/Low), fix recommendations, release blocking decisions
Pipeline execution, gate aggregation, artifact validation — automated continuous integration and delivery
S8→S9+ · From launch to iteration
Build artifacts, release gates, canary deployment strategy, production release human confirmation, delivery checklist output
Monitoring alert rules, Runbook generation, incident response workflows, database/server deployment config
Collects issues/user feedback, priority classification, one-click back to S1 to start next iteration
S6 isn't just running tests — the Super Agent implements a complete 'test → diagnose → fix → retest' self-healing cycle. 3 auto-fix rounds by default; human intervention only when exceeded.
Unit · Integration · E2E · RPA tiered execution
Aggregate logs, traces, screenshots to locate root cause
Automatically apply fix patches based on diagnosis
Auto-retest after fix to confirm resolution
All CodePus agents, all stages, unified multi-modal input support. Express requirements your most natural way.
Describe requirements and intent in natural language
Record → Transcribe → Edit → Confirm, ASR supports multiple languages
Auto-scrape web pages, configurable depth (0=full site)
Screenshot→HTML, Sketch→Prototype, Image→Code
Multi-modal video parsing to extract requirements and design
PDF/DOC/MD auto-parsed into structured requirements
Complex requirements? Multiple AI models debate contested points and output a synthesized solution. Not one model guessing — multiple models collaborating toward the optimal answer.
At least 2 different models participate
Users can terminate anytime and get the latest document
Divergent views → Merged conclusions → Unresolved issues tracked throughout
Covering all major AI providers, automatically routing to the best model for each task. One-click switching, always synced with the latest capabilities. No vendor lock-in. Your keys, your control.
Complex logic · Math proofs · Multi-step planning
Smart coding · Refactoring · Auto testing
Image+text · UI screenshot analysis · Visual reasoning
Million-token windows · Full repo awareness
Millisecond inference · Real-time completion · Streaming
Local deployment · Data stays on-premise · Compliance
OpenAI-compatible · Private deploy · Self-hosted models
From millisecond completions to deep code understanding, every detail engineered for peak efficiency.
Proprietary completion model with millisecond response, multi-line prediction, function-level generation. Context-aware precision.
Select code, describe changes in natural language, AI rewrites instantly. Diff preview + AI review — see before you change.
Semantic indexing of your entire codebase. Search code in natural language, understand architecture intent beyond text matching.
Model Context Protocol connects external tools, .codepus/rules enforces coding standards — infinitely extensible AI capabilities.
Your code is your most valuable asset. CodePus provides comprehensive security so enterprises can confidently adopt AI coding.
One-click privacy mode — zero code sent to cloud. Use local models for sensitive projects, fully offline.
SAML/OIDC enterprise auth, SCIM auto-sync seats, unified identity management.
Complete operation audit trail, meeting SOC 2, ISO 27001 and other compliance requirements.
Full on-premise deployment, data never leaves your network. Built for finance, government, and high-security environments.
Share prompts, rules, and tool configs. Unified team AI coding experience — new members onboard instantly. Per-member AI usage and code generation analytics.
I used to write code myself. Now I describe requirements, and the Super Agent auto-delivers from S1 to S8. One person is now a whole team.
12 agents each with their own specialty, covering the full chain from requirements to operations. Tests fail and auto-fix 3 rounds before reporting — now that's a real Agent.
One-click URL scraping → reverse analysis → prototype generation → code implementation. Cloning a competitor's site went from 2 weeks to 2 hours.
Not faster code completion — an entirely new way to deliver. From idea to production, the Super Agent handles it all. Free tier forever.