Running Claude Code parallel agents without structured specs is guesswork at scale. Your agents need codebase-aware task decomposition — subtasks with clear file ownership, acceptance criteria, and dependency mapping — before you dispatch a single one. Tekk.coach produces that decomposition, grounded in your actual repository. Multi-agent execution dispatch is coming next; the planning layer is live today.
How Tekk.coach Enables Claude Code Parallel Agents
The bottleneck with parallel Claude Code agents isn't the agents — they're capable. It's the input you give them. Each agent needs a scoped, codebase-grounded prompt that tells it exactly what to build, what files to touch, and what to leave alone. Write that manually for five parallel agents and you'll spend more time on prompts than on the feature itself.
Tekk reads your actual codebase first — semantic search, file discovery, repository profiling — before generating anything. When you describe a feature, Tekk asks questions grounded in what it found in your code, presents architecturally distinct approaches with honest tradeoffs, then writes the complete spec. That spec includes subtasks with acceptance criteria, file references, dependency order, and an explicit "Not Building" section — exactly the structure that makes parallel execution safe.
The output is a living document in the task editor, not a chat message. You edit it, approve it, and then the kanban board tracks what's planned, what's running, and what's done. Each card links back to the full planning session for context.
When multi-agent execution dispatch launches, Tekk will decompose your approved spec into parallel waves — grouping independent subtasks for simultaneous execution, batching related subtasks (same files, shared context) into coherent jobs per agent, and routing everything to Cursor, Codex, Claude Code, or Gemini via OAuth. One shared branch. One PR at the end.
Key Benefits
Specs that agents can actually execute Tekk produces subtasks with acceptance criteria and file references — not "add auth" but a complete spec with database schema, API routes, validation logic, and explicit scope limits. Agents that get this spec don't flail.
Dependency-mapped parallelism Every plan includes dependency relationships between subtasks. You can see at a glance what can run in parallel and what must sequence. No more guessing which tasks will conflict.
Scope protection prevents agent sprawl Explicit "Not Building" sections in every plan define what's out of scope. When multiple agents are running, scope creep multiplies — one agent expands a feature, another implements something adjacent, and you end up with three times the code you intended. Tekk cuts this off before execution starts.
Codebase context without re-pasting Claude Code agents get better results when they have codebase context — but they don't share context across sessions. Tekk bakes codebase context into the spec itself: file references, current patterns, existing conventions. Every agent that reads the spec understands your codebase, not just the task.
Visual progress tracking The kanban board gives you a unified view of everything you're building — planned, in progress, done. No more cycling through terminal windows to check agent status.
How It Works
Step 1: Connect your repository Connect GitHub, GitLab, or Bitbucket. Tekk reads your codebase before asking a single question — semantic search, file search, regex search, directory browsing, and repository profiling. It understands your stack, frameworks, patterns, and dependencies.
Step 2: Describe the feature Tell Tekk what you're building. Tekk asks 3–6 clarifying questions grounded in what it found in your code — not generic questions, but informed ones: "your existing auth uses JWT in httpOnly cookies — should this new endpoint follow the same pattern?"
Step 3: Review options and pick a direction Tekk presents 2–3 architecturally distinct approaches with honest tradeoffs. Skipped when there's an obvious path. You pick, Tekk proceeds.
Step 4: Get the structured spec Tekk writes the complete plan, streamed in real-time into the task editor. 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 (BlockNote) lets you edit the spec directly before dispatching. Adjust scope, rename subtasks, add constraints. The spec is yours.
Step 6: Track on the kanban board The kanban board shows task status across everything you're building. Each card links to the full planning session. When execution dispatch launches, cards will show real-time agent progress.
Step 7: [Coming next] Dispatch to Claude Code and other agents Tekk will decompose your approved spec into parallel execution waves and dispatch to your agents — Cursor, Codex, Claude Code, Gemini — via OAuth. Independent subtasks run simultaneously. Related subtasks (shared files) batch into coherent jobs. Everything lands on one shared branch.
Who This Is For
Claude Code power users who want real parallelism You've read the docs. You know about subagents and agent teams. You've tried it. The coordination overhead is real, and the quality of spawn prompts is everything. Tekk handles the decomposition so your parallel agents get real specs, not rephrased descriptions.
Developers drowning in manual orchestration You're managing multiple Claude Code windows, manually tracking which tasks are done, re-pasting context into each session because agents don't share it. Tekk gives you one planning workspace, one kanban board, and specs that carry codebase context to every agent.
Solo founders and small teams moving fast You're building with AI agents because you have to — there's no team of five engineers behind you. You need to maximize what each agent session produces. Vague prompts waste agent turns. Tekk makes every agent session count by front-loading the hard thinking.
What Are Claude Code Parallel Agents?
Claude Code supports two patterns for running multiple agents simultaneously. Subagents run within a single Claude Code session — each gets its own context window, custom system prompt, and specific tool access. They run in the foreground (blocking) or background (concurrent), report results back to the main agent, and are good for isolating high-volume tasks or enforcing tool restrictions.
Agent teams coordinate separate Claude Code instances with independent context windows. Unlike subagents, teammates communicate peer-to-peer through a shared task list and messaging system. A team lead coordinates work and assigns tasks; teammates claim work, mark it complete, and message each other directly. Agent teams are currently experimental in Claude Code and require explicit enablement.
Both patterns share a core requirement: agents need well-scoped, codebase-grounded prompts to produce reliable output. The planning problem is upstream of the execution problem — and it's where most parallel agent workflows break down.
Ready to Try Tekk.coach?
Your parallel agents are only as good as the specs you give them. Tekk reads your codebase, decomposes your feature into structured subtasks with clear ownership, and gives every agent exactly what it needs to execute without flailing. Connect your repo and generate your first spec — no PRD ceremony required.