The world's first S0→S9 full-lifecycle AI IDE with built-in Super Agent + 12 sub-agent legion, covering the entire software engineering chain from requirements to operations
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 template matching
Multi-source collection · Structured follow-up · Multi-model debate validation
Tech stack selection · API design · Module decomposition planning
URL→HTML · Image→Prototype · Voice→Design mockup
Auto-detection · Dependency install · Environment health check
Task decomposition · Auto-coding · Change report output
Multi-level tests · Auto-diagnosis · Self-healing repair loop
Doc generation · Security scan · Quality gate enforcement
Build artifacts · Canary deploy · Delivery confirmation archive
Monitoring & alerts · Runbook · Feedback iteration loop
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
Not just another code completion tool — 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. Covers requirements → architecture → design → coding → testing → release → operations.
S0→S9 ten-stage auto-scheduling with smart skip/parallel/rollback, zero manual intervention needed
7 Providers multi-model cross-validation, consensus decisions, eliminating single-model bias
Test→Diagnose→Fix→Retest, 3 auto-fix rounds by default, human intervention only when exceeded
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.
One-Click Full Pipeline · Minutes-Level Delivery · Zero Manual StitchingMulti-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
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
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
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
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
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.
All CodePus agents, all stages, unified multi-modal input support. Express requirements your most natural way.
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 in debate
Users can terminate anytime and get the latest consensus document
Divergent views → Merged conclusions → Unresolved issues tracked throughout
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 for your next move.
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.
Built-in AI Agent understands your entire codebase, supports multi-turn conversation, @file precise references, full context continuity.
Background Agent auto-handles complex tasks: multi-file refactoring, test generation, bug investigation — completed without waiting.
AI automatically reviews Pull Requests, detecting potential bugs, performance issues, and security vulnerabilities with fix suggestions.
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.
Through MCP protocol, project rules, and privacy mode, CodePus's AI capabilities extend without limits.
Connect databases, APIs, docs and external tools via Model Context Protocol for infinite AI extension. Built-in MCP marketplace, one-click install.
Define coding standards and tech stack constraints via project-level rule files, ensuring AI-generated code meets team standards. Version-controlled, team-shared.
One-click privacy mode — zero code sent to cloud. Use local models for sensitive projects, fully offline.
AI reads terminal output, understands build errors, automatically provides fix solutions and executes them directly.
AI understands code intent, auto-suggests refactoring plans. Supports function extraction, variable renaming, structure optimization.
Use @ to reference files, folders, code symbols, doc links — let AI precisely understand your intent.
Share prompts, rules, and tool configs for a unified team AI coding experience.
Share prompts, rules, and tool configs. Unified team AI coding experience — new members onboard instantly.
Per-member AI usage, model consumption, and code generation stats to optimize team efficiency.
Fine-grained role-based access control with admin, member, and viewer tier management.
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.
Not faster code completion — an entirely new way to deliver. From idea to production, the Super Agent handles it all. Free tier forever.