Features
AI-powered code documentation from GitHub repos
Automated code review with bug, security, and performance analysis
Security vulnerability detection with severity classification and fix examples
Performance bottleneck identification and optimization suggestions
Test case generation from requirements, screenshots, or text
Unlimited team members and repositories
Usage-based pricing with first 200 units free per service
Re-review and fix verification workflow
Issue tracking and assignment
Daily auto-updates for documentation
Searchable and shareable documentation
Multiple input formats for test case generation (docs, screenshots, text)
Excel export of test suites
Global search across documentation
Secure GitHub integration
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training
