You're using Cursor or Claude Code. You're shipping fast. And you're rebuilding things you already shipped.
The problem isn't your coding agent. It's the spec you gave it. "Add magic link auth" isn't a spec — it's a prompt that produces code that almost works, in the wrong place, missing half the edge cases. Tekk.coach reads your codebase and turns rough ideas into structured, executable plans before your agent writes a single line.
No process overhead. No PRDs. Connect your repo, describe the problem, get a spec, execute.
How Tekk.coach Works as an AI Dev Tool for Startups
Tekk is the planning layer between you and your coding agents. It doesn't replace Cursor or Claude Code — it makes them dramatically more effective by giving them specs they can actually execute.
When you create a task in Tekk, the AI agent reads your codebase first. Not a generic overview — a deep pass: semantic search across your files, dependency mapping, framework detection, pattern recognition. It knows your stack before it asks a single question. You connect via GitHub, GitLab, or Bitbucket. Thirty seconds and it knows your repo.
Then it asks 3–6 questions grounded in what it found. Not "what language are you using?" — it already knows. It asks about the behavior you want, the tradeoffs you care about, what's in scope and what isn't. From there it presents 2–3 architecturally distinct approaches with honest tradeoffs, then writes the full spec into a living document you can edit directly.
The spec isn't a chat message. It includes a TL;DR, explicit scope boundaries (Building / Not Building), subtasks with acceptance criteria and file references, assumptions with risk levels, and validation scenarios. Your coding agent gets a plan it can actually follow.
Key Benefits
No more rework from vague prompts. When your coding agent has a codebase-grounded spec, it builds the right thing the first time. The accept criteria are in the plan, the file targets are in the plan, the edge cases are in the plan.
Senior engineering judgment without senior engineering headcount. Need a security review? Architecture check? Performance audit? Tekk reads your actual code and flags what needs fixing — the same judgment a senior engineer would apply, without the hire.
Scope defined before code is written. Every plan has an explicit "Not Building" section. You know what's in and what's out before your agent starts. Scope creep is the default without this — Tekk makes scope protection automatic.
One workspace, not three disconnected tools. Stop juggling ChatGPT for planning, Linear for tracking, and Cursor for coding. Tekk combines codebase-aware planning, a visual kanban board, and expert review in one place.
Free to start, no contracts. Subscription pricing. No enterprise commitments. You can be up and running in the time it takes to connect your GitHub repo.
How It Works
Step 1: Connect your repo. Authenticate with GitHub, GitLab, or Bitbucket. Tekk indexes your codebase — semantic search, file structure, frameworks, dependencies. This takes under a minute and needs to happen only once per repo.
Step 2: Describe what you're building. Type a task description in plain language. "Add Stripe webhook handling for subscription events." "Build a CSV export for the admin dashboard." Tekk does not need perfect input — it will ask the clarifying questions.
Step 3: Answer 3–6 targeted questions. The agent interrogates your description against what it found in the codebase. It surfaces hidden complexity, flags assumptions, and asks about the behavior you actually want. Each question is grounded in your real code, not a generic template.
Step 4: Review your options (when applicable). For decisions with real architectural tradeoffs, Tekk presents 2–3 approaches with honest pros, cons, and consequences. You pick the direction. When there's an obvious path, this step is skipped.
Step 5: Execute the spec. The complete plan streams into the task editor — TL;DR, scope boundaries, subtasks with acceptance criteria and file references, assumptions with risk levels, and test scenarios. You edit directly if needed. Then hand it to Cursor, Claude Code, or your agent of choice. They have everything they need to build it right.
Who This Is For
You're a startup founder who writes code — or leads a small team that does. You've adopted AI coding agents because they're genuinely fast. But you're spending a day every week fixing things that got built wrong, or rebuilding features because the first version missed the point. The problem isn't your tools. It's that no one sat down and specified what "done" looked like before the agent started.
You're a developer on a team of 2–8 people. You don't have a dedicated architect. You don't have a senior engineer with 15 years of security and infrastructure experience. When you hit a domain you haven't worked in before — payments, auth, data pipelines, AI agents — you Google it, read some docs, make judgment calls, and hope. Tekk fills that gap. Expert review on demand, grounded in your actual code.
You're a non-technical founder who needs real specs. You're working with a developer or using Claude Code yourself. You know what you want to build. You don't know how to translate it into something a coding agent can execute without going sideways. Tekk bridges that gap — it asks the right questions and structures the output for you.
This is not for you if you need custom Jira-style approval chains or enterprise governance workflows. Tekk is opinionated and lightweight by design.
What AI Dev Tools Are Startups Using?
The startup dev stack in 2026 has two layers: coding tools and everything else.
The coding layer is dominated by Cursor, Claude Code, GitHub Copilot, and Aider. These are the execution layer — they write and edit code across your codebase. Cursor is especially popular for refactoring MVP code into production-ready systems. Claude Code handles complex multi-file tasks with strong reasoning. GitHub Copilot has the widest IDE coverage. Aider is the open-source option for cost-conscious teams.
The planning layer is where most startups cobble things together. ChatGPT or Claude for drafting rough ideas. Linear or Notion for task tracking. Slack threads for alignment. These tools aren't designed to work together, and context gets lost between each handoff.
Tekk sits at the boundary. It's not a coding tool — it's the AI planning layer that feeds your coding tools. You still use Cursor or Claude Code to write the code. Tekk makes sure they're building the right thing, in the right place, with the right scope, the first time.
Ready to Build Without the Rework?
You already have the coding agents. What you're missing is the planning layer that makes them worth what you're paying for them.
Connect your repo, describe your next feature, and get a spec in minutes — grounded in your actual codebase, scoped correctly, ready for Cursor or Claude Code to execute.