AI-assisted development
Create, edit and review code with models fine-tuned to your stack (not generic). Automatically document and test and publish changes with control.
Why it's different
Models fine-tuned by stack and version (Technology Packs).
Complete flow: generate → review → test → document.
Quality and cost metrics from day one.
What it includes
Multi-stack generation and editing
Support for React/Next, Spring Boot, Django/FastAPI, .NET, Node/Express, among others.
Contextual suggestions by project tree and team conventions.
Guided code review
Best practices checklist by stack.
Code smell detection and concrete recommendations.
Ready-to-use PR comments.
Assisted refactor and tests
Refactor proposals by module (naming, separation of concerns, performance).
Unit and integration test generation.
"Compiles and tests pass" indicators.
Living documentation
Module, endpoint and contract summaries.
RAG over your repo and technical wiki with source citations.
Export to Markdown/PDF.
Integrations (optional)
IDE: VSCode (private alpha) and JetBrains (in development).
CI/CD: Optional Jenkins/GitLab in installer.
Metrics you'll see
pass@k for code generation (by task).
% of PRs with complete checklist.
Time saved per story.
P95 latency and estimated cost per 1k tokens.
How it's used (typical flow)
Select your Technology Pack
(e.g., Spring Boot 3 + Java 21).
Point to module/file and intention
(create, edit, test).
Review changes and apply PR checklist
Generate documentation and verify with RAG
Launch pipeline in Jenkins/GitLab
(optional)
Availability (v0.10)
Generation/editing, guided code review, living documentation and basic metrics.
VSCode integration (private alpha); JetBrains in development.
Roadmap: more stacks/templates and expanded metrics.