Running a team of coding agents without an orchestration layer means scattered specs, file conflicts, and agents doing duplicate work in different directions. Tekk.coach is the conductor: it reads your codebase, decomposes features into structured specs with clear task ownership, tracks everything on a kanban board, and dispatches to Cursor, Codex, Claude Code, and Gemini. Multi-agent execution dispatch is coming next. The planning and spec layer that makes it viable is live today.
How Tekk.coach Orchestrates a Team of Coding Agents
An orchestra without a conductor is noise. A team of coding agents without structured, codebase-grounded specs produces the same result: agents that flail, conflict, duplicate work, and generate rework.
Tekk is the conductor. Before a single agent runs, Tekk reads your repository — semantic search, file discovery, repository profiling — and uses that understanding to decompose your feature into structured subtasks. Each subtask has acceptance criteria (the agent knows when it's done), file references (the agent knows what to touch and what to leave alone), and dependency mapping (you know what can run in parallel and what must sequence). Every plan includes an explicit "Not Building" section — a scope boundary that prevents agents from expanding the feature in directions you didn't ask for.
That structured plan is what you hand to a team of agents. Not a paragraph of text. Not a copied chat message. A complete spec that tells each agent: here's your task, here's the file, here's how you know it's done, here's what's out of scope.
When multi-agent execution dispatch launches, Tekk will connect to your agents via OAuth — the same way GitHub connects today — and dispatch subtasks in parallel waves. Independent subtasks run simultaneously across Cursor, Codex, Claude Code, and Gemini. Related subtasks (same files, shared context) batch into coherent jobs per agent. Everything lands on a single shared branch and one PR at the end.
Key Benefits
One planning workspace for all your agents Whether you're using Cursor for editing, Claude Code for extension tasks, Codex for autonomous runs, or Gemini for design-first UI work — Tekk is the single place where you plan, spec, track, and coordinate. No more context scattered across multiple chat threads and markdown files.
Specs that prevent agent conflict Each subtask in a Tekk plan has explicit file references. Independent tasks — different files, no shared context — can run in parallel safely. Dependent tasks sequence correctly. The "Not Building" section stops scope creep before the agents start. You get the benefit of parallelism without the file conflict risk.
The right agent for each task Not all coding agents are equal for all tasks. Cursor handles iterative code editing. Codex handles longer autonomous runs. Claude Code extends via MCP tools for complex reasoning-heavy tasks. Gemini handles design-first UI specs before handing off to execution agents. Tekk routes tasks to the right agent based on task type.
Progress visibility across the team The kanban board gives you a unified view: what's planned, what each agent owns, what's in progress, what's done. When execution dispatch launches, each card shows real-time progress from the dispatched agent. No more checking five terminal windows.
Plans survive agent handoffs Each kanban card links back to the full planning session — the codebase context, the questions asked, the options considered, the spec written. When an agent finishes and you review the PR, you can trace every decision back to the plan. Nothing is lost in chat history.
How It Works
Step 1: Connect your repository Connect GitHub, GitLab, or Bitbucket. Tekk runs a full repository profile — languages, frameworks, services, packages, file structure — before asking any questions. It understands your codebase, not just your prompt.
Step 2: Create a task and describe the feature Open the kanban board, create a task, describe what you're building. Tekk reads the codebase and asks 3–6 informed questions grounded in what it found: "You're using Stripe's webhook system here — does this new billing feature use the same webhook handler or a new one?"
Step 3: Get architecturally distinct options For non-obvious features, Tekk presents 2–3 approaches with honest tradeoffs. You pick the direction that fits your constraints.
Step 4: Receive the full structured spec Tekk writes the complete plan, streamed into the task editor in real-time. Every plan includes: TL;DR, Building / Not Building scope boundaries, subtasks with acceptance criteria and file references, assumptions with risk levels, and validation scenarios. This is the spec your agents execute from.
Step 5: Edit and approve The task editor is a rich text document — edit it directly. Tighten scope, adjust subtask order, add constraints. Approve when it's right.
Step 6: Track on the kanban board The kanban board shows the full picture: To Do, In Progress, Done. Each card carries full metadata: type, priority, subtasks with dependencies and time estimates, and the link back to the planning session.
Step 7: [Coming next] Dispatch to your agent team Tekk decomposes the approved spec into parallel execution waves. Independent subtasks dispatch simultaneously. Related subtasks batch per agent. Cursor, Codex, Claude Code, Gemini — each gets the tasks it handles best. Real-time progress on the kanban board. One shared branch. One PR to review and merge.
Who This Is For
Developers who've outgrown single-agent sessions You're already using Cursor or Claude Code. You know what they can do. You're tired of one task at a time, one context window at a time. You want parallelism — and you want it to actually work, not just run three agents into each other.
Founders shipping with AI agents as the engineering team You're not managing a team of people — you're managing a team of agents. That's the same job: decompose the work, assign it, track progress, review output. Tekk is the system that makes that manageable without ceremony.
Product managers who need technically grounded specs You know what you want to build. You don't have time to write five detailed prompts for five parallel agents. Tekk reads the codebase and generates the specs — you just describe the feature and review the output.
What Does It Mean to Run a Team of Coding Agents?
Running a team of coding agents means coordinating multiple AI coding systems — Cursor, Claude Code, Codex, Gemini — working in parallel or sequence on a software project. Unlike a single interactive agent session, running a team implies orchestration: task decomposition, agent assignment, parallel dispatch, progress tracking, and output integration.
The bottleneck in 2026 isn't the agents. Cursor, Claude Code, Codex, and Gemini are all capable of producing high-quality code. The bottleneck is the coordination layer: decomposing features into independent, well-scoped tasks; giving each agent the codebase context it needs; tracking what's running and what's done; and collecting outputs into a coherent branch without conflicts.
Most teams are doing this manually: multiple terminal windows, copy-pasted specs, scattered progress tracking in markdown files or separate PM tools. Tekk replaces the manual coordination layer with a single workspace that handles planning, spec generation, task management, and agent dispatch.
Ready to Try Tekk.coach?
Your agents are only as effective as the specs you give them. Tekk reads your codebase, decomposes your feature into a structured plan with clear task ownership and dependency mapping, and gives you the kanban board to track everything. Connect your repo and build your first agent-ready spec in minutes.