TL;DR
User stories written in Miro or Jira have no idea what's in your codebase. So your AI coding agent executes them literally — and produces generic code. Tekk.coach reads your repo first, then generates user stories with acceptance criteria tied to real files and architecture. No workshop, no sticky notes, no manual transfer to Jira. Just specs your AI agent can actually use.
How Tekk.coach Does User Story Generation
Most user story mapping software starts with a blank canvas. You add sticky notes, arrange activities, draw swimlanes, write acceptance criteria. Then someone has to transfer all of that into Jira tickets. Then a developer — or an AI coding agent — interprets the tickets and writes code. Each handoff loses information. By the time your story reaches the code, it says "user can log in" with zero context about your auth implementation.
Tekk skips the canvas entirely. You connect your GitHub, GitLab, or Bitbucket repo via OAuth. The AI agent reads your codebase — semantic search, file search, regex, directory browsing, repo profiling. It builds real understanding of what exists before generating a single line of spec. Then you describe what you want to build, and Tekk asks clarifying questions before producing a plan.
Every plan includes subtasks with acceptance criteria that reference actual files and patterns from your repo. Not "user can reset their password." More like: "password reset email triggers via services/auth/emailService.ts, token stored in UserPasswordReset model, expiry validation in middleware/auth.ts." That's acceptance criteria an AI coding agent can execute without guessing.
The output streams into a BlockNote rich text editor as a living document. You edit it. You own it. There's no locked template format. When it's ready, you hand it to Cursor, Claude Code, Codex, or Gemini and let them build.
Key Benefits
Acceptance criteria that reference real code Every subtask links to actual files, functions, and architectural patterns in your repo. AI agents stop guessing and start building correctly.
No manual Jira transfer The workshop-to-ticket transfer step is where story quality dies. Tekk generates structured specs directly from codebase understanding. One step, not three.
Explicit scope boundaries Every Tekk plan includes a "Building / Not Building" section. Same prioritization function as story map release slices — without the canvas.
Built for AI coding agents Tekk plans are structured for Cursor, Claude Code, Codex, and Gemini. Story quality determines code quality. Tekk handles story quality.
Free to start Connect your repo and generate your first spec for free. No credit card, no sales call.
How It Works
Connect your repo. Authenticate with GitHub, GitLab, or Bitbucket via OAuth. Tekk indexes your codebase using semantic embeddings, file search, regex, and directory browsing.
Describe what you want to build. Plain language. No template required. "Add two-factor authentication" or "refactor the billing module to support annual plans."
Answer Tekk's clarifying questions. The AI agent surfaces assumptions and asks targeted questions before generating the spec. This is where workshop-style alignment happens — fast, async, without a Zoom call.
Get a codebase-grounded spec. Your plan includes: TL;DR, scope boundaries (Building / Not Building), subtasks with acceptance criteria referencing real files, risk-rated assumptions, and validation scenarios.
Hand the spec to your AI coding agent. Feed it to Cursor, Claude Code, Codex, or Gemini. The spec has everything the agent needs to build correctly.
Who This Is For
Solo founders and small dev teams (1–10 people) You don't need a facilitated story mapping workshop. You need a spec you can execute today. Tekk replaces the ceremony with codebase-aware planning that takes minutes.
PMs and developers using AI coding agents If you're using Cursor, Claude Code, or Codex, story quality is your bottleneck. Generic "as a user I want..." stories produce generic code. Tekk generates stories grounded in your actual architecture.
Teams tired of the Miro-to-Jira transfer You spent two hours mapping stories on a whiteboard. Now you have to re-enter them as tickets. Then someone has to add acceptance criteria. Then a dev asks what "user can authenticate" means in your specific codebase. Tekk eliminates this loop.
What Is User Story Mapping?
User story mapping is a product planning technique introduced by Jeff Patton in 2005. The core idea: organize user activities horizontally (the "backbone" of the product experience) and break each activity into stories below it. Teams prioritize stories vertically — the top row of each activity forms the minimum viable product. Horizontal swimlanes define release scope.
The technique became a cornerstone of agile product development because it solves a real problem: flat backlogs lose context. When you see 200 tickets in Jira, you lose the thread of what users are actually trying to do. A story map restores the narrative. It helps cross-functional teams — PMs, designers, developers — align on what they're building and why.
The current landscape of user story mapping software divides into three categories. Dedicated tools like StoriesOnBoard, FeatureMap, and Avion provide canvas-based mapping with Jira/GitHub integrations. Whiteboard tools like Miro, Mural, and FigJam are used for collaborative discovery workshops. Jira add-ons like Easy Agile TeamRhythm bring mapping into the delivery tool. All of these tools address the discovery and documentation layer. None of them address the codebase layer.
That gap matters more now than it did in 2005. AI coding agents execute user stories literally. "As a user, I want to reset my password" tells Claude Code nothing about your email service, your token model, or your existing auth middleware. The story map helped you align on what to build. It doesn't help your AI agent understand how to build it in your specific codebase. That's the problem Tekk solves.