Vague plans produce vague code.
Hand a coding agent a paragraph and you get a paragraph's worth of precision back. The agent fills in the blanks with guesses. Then you spend two hours undoing what it guessed wrong.
Tekk's loops write structured plans for you. Twelve loops read what changed in your code, and when one finds something worth doing it brings a proposal you greenlight or decline. Greenlit, it becomes a spec with acceptance criteria and a build-order checklist. Not a template. Not a chat message. A spec grounded in your actual codebase.
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How Tekk.coach Does Structured Planning
Every Tekk spec has a fixed structure, whether a loop wrote it or you did. Here is what you get.
What and why — What to build and the reason it matters. A loop's spec points at the code it concerns, so the why is traceable, not a hunch.
Acceptance criteria — The conditions that say when it is done. Written as behavior an agent can verify, not implementation notes.
Build-order checklist — The steps, in order. The checklist is the gate: a merged PR completes the spec only once every item is ticked. Otherwise the spec stays in progress and Tekk notes how far along it is.
Touches and dependencies — The code areas a spec will modify, and the specs that must finish first. A feature that splits into independent parts becomes a parent spec with one sub-task per part.
Type — Feature, problem, technical, research, or improvement, so the board stays legible.
You can edit any of it before your coding agent starts. It is the spec your team works from.
This is not a Notion template with placeholder text. A loop reads your codebase and writes the spec against what it finds. Or you write it by hand on the same board — the structure, and the merge that closes it, stay the same.
Key Benefits
Plans you didn't have to start. Loops notice the work — a missing ownership check, a webhook that can be replayed, a query with no index — and bring it to you scoped as one proposal. Tight scope stops coding agents from building adjacent things you never asked for. That is the most common failure mode in AI-assisted development.
Subtasks your agent can verify. Acceptance criteria are written as behavioral outcomes: "user can now do X," not "modify file Y." Your agent knows when the task is done. So do you.
File references so the agent edits the right place. No more "it created a new component instead of updating the existing one." A loop's spec names the files it concerns because the loop read them first.
Done means done. A merged PR that says Closes TEK-123 completes the spec only when its checklist agrees. Half-finished work stays in progress, with the open items counted, instead of quietly disappearing from the board.
How It Works
Tekk runs the same loop for every change. It is not a one-shot prompt.
Wake. A loop wakes when your code changes, when Sentry fires, or when part of its area has gone unexamined too long. It reads what changed and follows it to what it touches.
Propose. It works one method from its shelf of skills and brings at most one proposal — or records an honest negative so it doesn't re-audit the same ground tomorrow.
Decide. You greenlight the proposal and it becomes a spec on your board, or decline it with a reason and the loops learn what's noise for your project.
Close. Your coding agent builds the spec through the Tekk MCP server. The PR that says Closes TEK-123 completes it when it merges, and that merge is the next change the loops read.
All of this is live today. Prefer to plan something yourself? Write the spec by hand — it lands on the same board and closes the same way.
Who This Is For
Developers who keep getting rework from AI agents. You give Cursor a task description and get back code that mostly works but missed something. The problem is the spec, not the agent. Tekk fixes the spec.
PMs who need structured specs. Describing what a feature needs to do is one skill. Translating that into something an agent can execute is another. Ai project planning is where that translation happens. In Tekk you write the spec by hand when you know what you want, and the loops propose the rest from the code.
Solo founders who need architect-level plans without an architect. You are building across backend, frontend, and infrastructure at the same time, no senior engineer on the team. Tekk's loops read your code the way a senior engineer returning to it would, and bring you the plans that engineer would have raised.
Anyone using Claude Code, Cursor, or Codex. These agents execute on what you give them. Tekk gives them specs with acceptance criteria, over MCP. Connect your repo, greenlight a proposal, run the agent, merge.
What Is a Structured Planner?
A structured planner produces plans with explicit organization. Not a task list, but a document that defines scope, breaks work into verifiable pieces, surfaces assumptions, and specifies success criteria.
In software development, structured plan development matters because plan quality determines output quality. A task list says "add authentication." A structured plan says which auth pattern, which files to create, which existing files to modify, what the acceptance criteria are for each step, and what is not being built (no password reset, no OAuth, no admin impersonation in this sprint). This is the foundation that spec driven development formalizes — and the reason specs outperform task lists when agents are doing the implementation.
That distinction matters when you work alone. It matters more when you work with AI coding agents that execute exactly what they are told. A good structured plan is what separates a coding agent that ships from one that flails.
The difference between a task list and a structured plan is the difference between "build auth" and "here is the exact spec your agent needs to build auth correctly the first time."