Most engineers using Cursor, Codex, or Claude Code hit the same wall: the agents are capable, but nothing coordinates them. Tasks conflict. Context gets lost. You become the orchestrator — manually routing work, resolving dependencies, tracking progress across chat windows. As one practitioner put it, running multiple agents simultaneously is like walking multiple dogs at once — if you don't know where you're going, you'll get tangled. That's not orchestration. That's overhead.
Tekk.coach is the orchestration layer between you and your coding agents. It reads your codebase, generates a structured spec, decomposes it into dependency-ordered subtasks, and dispatches work to the right agents — with real-time progress tracked on a kanban board.
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Key Benefits
Your agents get specs, not paragraphs. Every coding agent produces better output when given precise, codebase-grounded inputs. Tekk generates the specs that make your agents effective. The quality of orchestration is bounded by the quality of the inputs.
Dependency ordering built in. Subtasks are sequenced by execution dependency, not arbitrary order. The API contract is written before the frontend component. The database migration runs before the service layer. This is the structural discipline that prevents agent cascade failures — a problem a comprehensive arXiv survey on multi-agent orchestration identifies as the primary failure mode in uncoordinated multi-agent systems.
Scope enforcement by default. Every spec includes an explicit "Not Building" section. Agents can't implement what isn't specified. Scope creep is structurally prevented, not aspirationally hoped for.
One workspace for planning and tracking. Kanban board with To Do / In Progress / Done. Each card links to the full planning session with codebase context. No more scattered markdown files across chat windows.
BYO agents. No lock-in. Cursor, Codex, Claude Code, Gemini — connected via OAuth, the same way GitHub connects today. You keep your existing agent subscriptions. Tekk coordinates them. Platforms like Cursor are scaling autonomous agent execution and Codex now supports parallel subagents — Tekk sits above all of them.
How It Works
Step 1: Connect your codebase. Link your GitHub, GitLab, or Bitbucket repository. Tekk indexes it for semantic search — your agent now knows what you have before it asks a single question.
Step 2: Describe what you're building. Not a spec. Not a structured prompt. Just describe the feature or problem in plain language. "Add magic link authentication" or "Build a data export pipeline" — Tekk handles the rest.
Step 3: Work through the planning session. The agent asks 3-6 informed questions based on what it found in your code. Optionally presents 2-3 architecturally distinct approaches. You choose a direction.
Step 4: Review your spec. A complete specification streams into your task editor: TL;DR, Building/Not Building scope boundaries, subtasks with acceptance criteria and file references, dependency ordering, assumptions with risk levels, validation scenarios. Editable in real-time.
Step 5: Execute. (Coming next.) Click Execute. Select your agent — Cursor, Codex, Claude Code, Gemini. Tekk decomposes approved subtasks by dependency, groups independent subtasks into parallel execution waves, and dispatches to agents. All work goes to a single shared feature branch. One PR for human review.
Who This Is For
Founders and solo builders shipping with AI coding agents. You're using Cursor or Claude Code but you're manually managing what gets built and when. That's coordination overhead you shouldn't be carrying. Tekk handles it.
Small engineering teams (1–10 people) without a dedicated architect. You're touching domains — auth, payments, AI pipelines — where you don't have deep expertise. Tekk's planning agent surfaces the right questions and architecture options before you write a line of code. Combining ai project planning with orchestration means the plan and the dispatch happen in the same session.
Developers who are tired of rework. The third time you rebuild the same feature because the spec was vague is the last time. Tekk generates specs that your agents can actually execute against, grounded in your actual codebase.
It's not for enterprise teams that need Jira-style workflow governance, custom approval chains, or 47 sidebar items. Tekk is opinionated and lightweight by design.
What Is AI Agent Orchestration?
AI agent orchestration is the coordination of multiple AI agents — each with distinct capabilities and tool access — to accomplish complex tasks no single agent can complete alone. An orchestrator decomposes a complex goal into subtasks, assigns them to appropriate worker agents, manages execution dependencies, and aggregates results.
In software development, this pattern has become essential because modern codebases are too large and complex for single-agent loops. Gartner predicts 40% of enterprise applications will integrate task-specific AI agents by end of 2026, up from less than 5% in 2025. A feature might require a security review, API design, frontend implementation, database migration, and test generation — each suited to a different specialized agent.
The field has two distinct layers. The execution layer consists of the coding agents themselves: Cursor, Codex, Claude Code, Gemini. The orchestration layer sits above them — decomposing tasks, routing work, managing dependencies, tracking progress. The ai agent workflow that connects these two layers is what determines whether agents execute with precision or produce expensive rework. As Addy Osmani writes in The Code Agent Orchestra, the hard problem isn't making agents smarter — it's making them work together. Most developers have execution agents. Few have an orchestration layer. That gap is where rework, conflicts, and manual coordination overhead live.