About DevPilot
A development velocity engine — Rust CLI + Flutter command center
that gives a solo developer the output of a 100-person engineering team.
The 100x Vision
Most tools promise 10x. DevPilot delivers 100x — not by working harder, but by replacing entire departments with AI-powered agents that plan, build, test, deploy, and learn from every execution.
One developer. Zero meetings. Full-stack output.
graph LR
DEV["1 Developer"] --> DP["DevPilot"]
DP --> PM["Product\nPlanning"]
DP --> ENG["Engineering\n8 Agents"]
DP --> QA["Testing &\nVerification"]
DP --> OPS["DevOps &\nDeploy"]
DP --> DOC["Docs &\nReports"]
DP --> DATA["Metrics &\nLearning"]
style DP fill:#4F46E5,color:#fff,stroke:#4F46E5
style DEV fill:#059669,color:#fff,stroke:#059669
What DevPilot Replaces
| Traditional Team (100 people) | DevPilot (1 developer) |
|---|---|
| Product managers write specs | dp ideate generates structured requirements from any input |
| 10 engineers implement features | dp sprint auto dispatches up to 8 parallel AI agents |
| QA team writes and runs tests | Agents auto-generate tests + verification gates |
| DevOps manages CI/CD pipelines | dp ship handles build, test, deploy, verify |
| Tech writers produce docs | dp content auto-generates reports, changelogs, posts |
| Data team tracks metrics | Self-learning loop captures every outcome to DB |
| Project managers track progress | Orchestrator with dependency resolution + batching |
How It Works
graph TB
INPUT["Any Input\nidea / voice / screenshot / doc"] --> IDEATE["dp ideate"]
IDEATE --> PLAN["dp plan\nSprint + Dependency Graph"]
PLAN --> ORCH["dp sprint auto\nOrchestrator"]
ORCH --> A1["Agent 1\nFeature"]
ORCH --> A2["Agent 2\nFeature"]
ORCH --> A3["Agent 3\nTests"]
ORCH --> A4["Agent 4\nDocs"]
A1 --> VERIFY["dp verify\nVerification Gate"]
A2 --> VERIFY
A3 --> VERIFY
A4 --> VERIFY
VERIFY --> LEARN["dp learn\nExtract Patterns"]
LEARN --> KB[("Knowledge Base\n200+ Learnings")]
KB -.->|Enriches next sprint| ORCH
style ORCH fill:#4F46E5,color:#fff
style KB fill:#059669,color:#fff
style VERIFY fill:#D97706,color:#fff
The self-learning loop is the key differentiator: every success and failure feeds back into the knowledge base, making each subsequent sprint faster and more accurate.
Core Capabilities
AI Agent Orchestra
Up to 8 parallel agents with role specialization, stuck detection, checkpoint recovery, and permission batching. The orchestrator handles dependency resolution, topological sorting, and verification gates.
Self-Improving SDLC
Every task execution records verification results. The system injects relevant learnings into agent context before each new task. Accuracy trends are tracked per agent, per phase.
Cross-Project Intelligence
Learnings from any project feed all projects. A bug fix discovered in one codebase automatically enriches the knowledge base for every managed project.
Content Factory
Sprint reports, release notes, blog posts, architecture docs — all generated from project data with mermaid diagrams, metrics tables, and polished PDF output.
CoPilot Command Center
A Flutter desktop + mobile app that serves as the CEO dashboard. Sprint tracking, agent monitoring, workflow management, knowledge browsing — all in one pane.
Vendor-Agnostic AI
Pluggable AI provider architecture. Claude, GPT, Ollama, or any LLM. Switch providers without changing a single line of application code.
Tech Stack
| Component | Technology | Purpose |
|---|---|---|
| Core Engine | Rust | Speed, safety, zero-cost abstractions |
| CLI | Rust (clap) | 42+ commands, orchestrator, NLP interface |
| Gateway | Rust (Axum) | JSON-RPC over WebSocket, real-time events |
| Command Center | Flutter | Desktop + mobile, cross-platform |
| Database | PostgreSQL | Source of truth for everything |
| AI Provider | Pluggable | Claude, GPT, Ollama — any LLM |
Philosophy
By the Numbers
Built with Rust. Powered by AI. Driven by one developer doing the work of 100.