TL;DR
Sprint planning fails when the tickets are too vague. Your AI coding agents — Cursor, Claude Code, Codex — can't execute on "fix the auth flow." They need a real spec. Tekk.coach reads your codebase, asks the right questions, and turns each sprint item into a structured spec with scope boundaries, subtasks, file references, and acceptance criteria. Before the sprint starts. No story points. No planning poker. No meetings.
How Tekk.coach Does Sprint Planning
Most sprint planning software helps you schedule work and track whether you finished it. That's useful. It's also not the problem that kills sprints.
The problem is the gap between "this ticket is in the sprint" and "this ticket is ready to build." When that gap is filled with vague descriptions and implicit assumptions, mid-sprint confusion is guaranteed. If a human developer picks up a bad ticket, they ask questions. When an AI coding agent picks up a bad ticket, it builds the wrong thing — silently, quickly, and completely.
Tekk closes that gap. You describe a sprint item — in plain language or with a rough spec. Tekk connects to your GitHub, GitLab, or Bitbucket repo, reads the relevant code, and runs a multi-turn planning workflow: it searches your codebase, asks clarifying questions, proposes scoped options, then generates a full structured plan. That plan includes a TL;DR, explicit scope boundaries (what's building, what's not), subtasks with acceptance criteria and file references, assumptions flagged with risk levels, and validation scenarios.
The output streams into a rich text editor — not a chat thread. It's a living document. You can edit it, review it, hand it to a teammate, or feed it directly to Cursor or Claude Code. Every spec is grounded in your actual codebase, not a generic template.
This is not sprint ceremony. Tekk has no velocity charts, no burndown reports, no sprint health dashboards. What it has is the spec layer that should exist between your sprint tool and your AI agents — and currently doesn't.
Key Benefits
Specs that AI agents can actually execute. Ticket titles cause agent failures. Tekk produces structured specs — scope boundaries, file references, acceptance criteria — that give AI coding agents the context to ship correctly on the first run.
Codebase-grounded from the start. Tekk reads your actual repo before generating anything. It doesn't guess at file names or assume architectural patterns. Every plan references what's already there.
No ceremony overhead. No estimation meetings. No planning poker. No story point debates. Describe the work, get a spec, move to execution. That's the entire workflow.
Expert review built in. After a spec is generated, you can run security, architecture, performance, or agent-improvement reviews against it. Catch bad assumptions before they become bad code.
Works with the tools you already use. Tekk connects to GitHub, GitLab, and Bitbucket via OAuth. Plans are designed to feed directly into Cursor, Claude Code, Codex, and Gemini.
How It Works
Connect your repo. Authenticate with GitHub, GitLab, or Bitbucket. Tekk indexes your codebase using semantic search, file search, regex, and directory browsing.
Describe a sprint item. Tell Tekk what you want to build — in plain language. No special format required.
Answer a few questions. Tekk asks targeted clarifying questions to scope the work correctly. This takes minutes, not a meeting.
Get a structured spec. Tekk generates a full plan: TL;DR, scope boundaries, subtasks with file references and acceptance criteria, assumptions, validation scenarios. It streams into a rich text editor.
Execute. Hand the spec to Cursor, Claude Code, Codex, or a human developer. The spec is ready to build from.
Who This Is For
Solo founders and small teams building with AI agents. If Cursor or Claude Code is doing your implementation work, your sprint items need to be specs, not ticket titles. Tekk is the step between "I know what I want to build" and "my agent builds it correctly."
Developers who want sprint structure without sprint ceremony. You don't need velocity charts or planning poker. You need to know exactly what each task requires before you start. Tekk gives you that without the overhead of a traditional agile sprint planning tool.
Teams where sprint tickets keep going wrong mid-sprint. If your sprints derail because tickets were too vague, or because the implementation hit unexpected code complexity, Tekk's codebase-grounded specs surface those problems before coding starts — not after.
What Is a Sprint Planning Tool?
A sprint planning tool is software that helps development teams prepare for and execute a sprint — a fixed time period (usually 1–4 weeks) in which a team commits to shipping a defined set of work. Sprint planning is a core Scrum event where teams select backlog items, define a sprint goal, estimate effort, and break work into executable tasks.
Traditional agile sprint planning tools — Jira, Linear, ClickUp, Zenhub, Monday.com — focus on the process layer: backlog management, story point estimation, velocity tracking, capacity planning, sprint health reporting. These tools answer "what will we work on and did we finish it?" They are well-built for that job.
What they don't do: make the content of each sprint item executable. An item in Jira is a title, a description, some story points, and maybe a label. That's enough for a human developer to ask follow-up questions. It is not enough for an AI coding agent to build from. As AI agents take on more implementation work, the ticket quality problem becomes a sprint delivery problem. The sprint planning software market hasn't caught up to this shift yet.
The best sprint planning ai tool for teams using AI agents isn't the one with the best burndown chart — it's the one that ensures every sprint item has a spec that an agent can execute. That's a different problem, and it requires a different solution.