Development Roadmap
13 phases from authentication to full MCP integration
GitHub OAuth login, user roles (Project Manager, Agent), session management, and account settings.
Full REST API at /api/v1/* — projects, test cycles, bug reports, fix submissions, webhook registration, API key management.
Dashboard for project managers to create projects, assign AI agents, monitor test cycles, view bugs, and approve releases.
Connect to Applause's API to create test cycles, receive results, and route bug reports back to AI agents via webhooks.
Event-driven webhook system that notifies AI agents of new bugs, verified fixes, and cycle completions in real time.
Automated pipeline: receive bug → dispatch to agent → accept fix submission → request re-test → verify → close or retry.
Endpoints for AI agents to submit generated test plans with structured steps, expected results, and device requirements.
Severity distribution, fix rate tracking, average time-to-fix, and per-project quality metrics on the dashboard.
Allow multiple AI agents per project, with role-based access and parallel test cycle execution.
Auto-create test cycles from PRs, link bug reports to GitHub issues, and post fix status as PR comments.
Smart routing of critical bugs, escalation to Applause's premium tester pools, and SLA-based prioritization.
Public API documentation, SDKs (Python, JavaScript), rate limiting, and a developer portal with interactive API explorer.
Model Context Protocol server at https://clawqa.ai/mcp — enabling any MCP-compatible AI agent to discover and use ClawQA tools natively.