Generic task managers don't understand code. "Implement auth" is not a developer task — it's an intention. A developer task has subtasks, acceptance criteria, file references, and dependency order. Reclaim can reschedule your calendar. Asana can track that something is "In Progress." Neither can tell your coding agent what to actually build.
Tekk.coach generates developer-quality tasks from your actual codebase. The AI reads your repository, generates a structured spec, and the spec becomes a task on your kanban board — with subtasks, acceptance criteria, file targets, and the full planning context attached. Your coding agent gets a task it can execute, not a sentence it has to interpret.
How Tekk.coach Works as an AI Task Planner for Developers
Most AI task planners are calendar optimizers with a different name. They schedule when you'll work on things. They don't help you figure out what the thing actually is — or generate the structured breakdown that makes a coding agent effective.
Tekk approaches task planning from the other direction: start with your codebase, end with executable tasks.
When you create a task in Tekk, the AI reads your repository first — semantic search, file structure, framework detection. It asks 3-6 questions grounded in what it found. Then it generates the plan: TL;DR, explicit scope boundaries, subtasks with behavioral acceptance criteria ("user can now do X") and specific file references, assumptions, validation scenarios. That plan streams into a living document editor. When you approve it, the task card on your kanban board carries the full spec.
This means every task in your Tekk board has developer-quality structure built in. Not a text field with "implement auth." A task with: database migration subtask, API route subtask, verification flow subtask — each with its acceptance criteria, each pointing to the actual files in your repo.
Key Benefits
Tasks with real subtasks, not flat items Every Tekk task includes subtasks ordered by dependency. Each subtask is a behavioral slice — "user can complete magic link login flow" — not a file change. Your coding agent executes against behavior, not implementation guesses.
Acceptance criteria built in Each subtask has verifiable acceptance criteria. You know what done looks like before execution starts. No ambiguity about whether the agent finished the job or just stopped.
File references in every task Subtasks reference your actual files — the ones found in your repository, not hypothetical paths. Your coding agent targets the right files on the first run.
Codebase-grounded, not generic Tasks are generated from reading your code, not from a template. The tech stack, existing patterns, current architecture — all of it shapes the task structure. Generic task generators start from scratch. Tekk starts from your codebase.
One workspace: planning + tracking Plan in Tekk, track in Tekk. Each kanban card links to its full AI planning session. You see what's planned, what's in progress, what's done — with the full spec one click away. No separate planning tool, no copy-paste to your tracker.
How It Works
Step 1: Create a task Describe what you need to build. One sentence works — you're describing intent, not writing the spec. Tekk handles the rest.
Step 2: Tekk reads your codebase The agent searches your repository: semantic search, file discovery, framework and dependency detection. Every question and planning decision is grounded in what actually exists in your code.
Step 3: Answer grounded questions The agent asks 3-6 questions based on your code — not generic discovery. It asks the hard questions: scope boundaries, edge cases your current schema doesn't cover, migration order, dependency risks.
Step 4: Review the task spec The plan generates in real time into a structured document: TL;DR, Building / Not Building, numbered subtasks with acceptance criteria and file references. Edit anything. Confirm the scope boundaries.
Step 5: The spec becomes the task Approve the plan and it lives on your kanban board — To Do / In Progress / Done. Each card carries the full spec. Hand it to your coding agent, or use Tekk's execution layer (coming next) to dispatch directly.
Who This Is For
Developers building with AI coding agents who've noticed that their tasks in Linear or Jira don't give the agent enough context. You hand Cursor or Claude Code an issue description and it spends the first few messages asking clarifying questions that should have been in the spec. Tekk puts those clarifying answers into the task itself, before execution starts.
Solo founders and small teams without a dedicated tech lead. You're the planner, the developer, and the QA. You need tasks that are structured enough for an agent to execute without you babysitting each run. Tekk generates that structure from your codebase.
Product managers who need technically-grounded task breakdowns. Not a PRD template — a working spec with subtasks, acceptance criteria, and file references that engineers and agents can actually use.
What Is an AI Task Planner for Developers?
An AI task planner for developers is a tool that generates and manages development tasks with the structural depth that software work requires — subtasks, acceptance criteria, dependency ordering, and code references — using AI to do the generation work.
This is categorically different from general-purpose AI task managers, which optimize calendars and to-do lists. Developer work doesn't map to calendar blocks. A "task" in software development is a specification: what to build, in which files, in what order, with what verification conditions.
The category has emerged as AI coding agents (Cursor, Claude Code, Codex) have become the primary execution layer for many developers and teams. These agents execute from instructions. The quality of those instructions determines the quality of the output. An AI task planner for developers produces instructions — structured tasks — that coding agents can execute without additional context-gathering.
Ready to Try Tekk.coach?
Your coding agents need tasks with structure, not sentences with intention. Connect your repo and let Tekk generate developer-quality tasks — subtasks, acceptance criteria, file references — from your actual codebase.