Every item here started as a real pain — a team missing a deadline they didn't see coming, a developer losing an afternoon to a pull request that should have taken five minutes. This is what we built, and what's coming next.
The problem
Real-time risk detection, bottleneck spotting, and an automated Project Stability Index catch delivery hazards before deadlines slip — computed from real activity, no manual tracking.
The problem
Automated daily and weekly digests deliver project health, flagged risks, and what shipped straight to your team — no engineering overhead, no copy-pasting from five dashboards.
The problem
Slack and Trello stay in sync in both directions with your board, and GitHub repos connect directly so the coding agent can clone, branch, and open pull requests against your real codebase.
The problem
Standalone workspaces are built for human + AI collaboration from the ground up, backed by a living project knowledge base every agent reads from — no re-explaining the project every session.
The problem
Turn a task into a tested pull request. The coding agent works inside an isolated, sized sandbox — Light, Mid, or Heavy — so a landing-page tweak and a monorepo feature both get the resources they actually need.
The problem
A universal MCP server lets external agents — Claude Code, Cursor, Windsurf — read your board and knowledge base, and delegate implementation work directly to the coding agent, all through one protocol.
The problem
Context-Aware Git Reviewer Agent performs autonomous PR code reviews evaluated against repository ADRs and your living Knowledge Base.
The problem
Automated PR Review Resumes: The coding agent auto-responds to code review comments and pushes fixes directly to open PRs without context-switching.
The problem
ADR Living Architecture Engine provides ADR document sync with docs/adr/ and scheduled drift detection to keep architecture aligned with code.
The problem
Shared Standalone Projects enable team collaboration, role-based project access, and email invitations for seamless multi-user workflows.
The problem
Parallel Execution & Admission Queue uses BullMQ-backed agent capacity management with real-time queue status to handle high workloads reliably.
The problem
BYOK & Flexible Multi-Model Routing supports OpenAI, Anthropic, Google, and DeepSeek, letting you bring your own key and route requests dynamically.
The problem
From idea to complete implementation: the Wizard plans the full task breakdown, you approve once, and agents execute the entire multi-task project end-to-end — no task-by-task babysitting.
The problem
Seamless Stripe integration for automated monetization, subscription management, and usage-based billing directly within the platform.
The problem
Public agent skill integration allowing teams to publish, share, and consume custom tools and workflows across the ecosystem.
The problem
Deep Confluence integration ingests your documentation and syncs project architecture directly into Jira issues and the knowledge base — so context never has to be copy-pasted by hand.
The problem
Persistent, warm sandboxes resume instantly with the agent's prior thought chain and environment state intact — no repeated setup between steps of a multi-stage build.
The problem
Every completed coding-agent task gets an automatically deployed, shareable preview URL — see the real thing running before you merge, without provisioning anything yourself.
The problem
Expanded integrations with more issue trackers, communication tools, and CI/CD pipelines to keep your entire toolchain in sync.
Hit a problem that's not on this list? Tell us about it → The best items here came from exactly that.