Vibe coding without a platform is chaos with a fast clock. Specs live in chat threads. Agents execute on conflicting assumptions. You're shipping fast and losing control of what you've built.

Tekk.coach is the vibe coding platform that puts structure around the whole workflow. It reads your actual codebase, generates structured specs your AI agents can execute against, and gives you a Kanban workspace to manage everything you're building — connected to GitHub, GitLab, or Bitbucket from day one.

This is what adopting vibe coding at a platform level actually looks like: one place for planning, tracking, and orchestrating your agents. Not scattered markdown files and chat history.

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How Tekk.coach Works as a Vibe Coding Platform

Most vibe coding tools handle the generation step. Tekk operates as the platform layer that sits before and above generation — where you plan what gets built, structure the spec that guides your agents, and track the work from idea to done.

Before Tekk writes a single line of a spec, it reads your codebase. Connect your GitHub, GitLab, or Bitbucket repo and Tekk runs semantic search, file search, regex analysis, and directory browsing across your entire repository. It maps your language, framework, ORM, existing patterns, and dependencies. This is what makes it a platform and not a tool: every spec it generates is grounded in your actual code, not generic boilerplate.

From that foundation, Tekk asks 3 to 6 questions grounded in what it found — not "what stack are you using?" but "you're already using Drizzle ORM, do you want to extend the users table or create a separate auth schema?" Then it presents architecturally distinct approaches with honest tradeoffs. Then it writes the complete spec, streamed live into a rich text editor as a working document — TL;DR, Building / Not Building scope boundaries, subtasks with acceptance criteria and file references, assumptions with risk levels, and validation scenarios.

That spec lives on a Kanban card. You see your full backlog in one workspace: To Do, In Progress, Done. Each card links back to the full planning session and codebase context. When you're ready to execute, Tekk's agent orchestration layer (coming next) will dispatch Cursor, Codex, Claude Code, or Gemini against the spec — decomposing subtasks by dependency order, parallelizing independent work, and delivering a single PR at the end.

What you get is not a better prompt tool. It's an end-to-end platform for AI-assisted software development.


Key Benefits

Codebase-grounded specs, every time. Tekk reads your actual repo before generating anything. GitHub, GitLab, and Bitbucket are all supported. Every spec references your real stack, your real files, your real patterns — not generic architectural assumptions that break when they hit your code.

Scope protection built into every plan. Every spec includes a "Not Building" section. You define the boundaries before any agent writes a line. That's how you prevent scope drift from compounding into months of rework and technical debt.

One workspace for everything you're building. Kanban board, AI planning sessions, codebase context — all connected. No more specs in chat threads, tasks in Notion, and status updates in Slack. If it's in your backlog, it's in Tekk, with a structured plan behind it.

Expert review when the code comes out. Run a security review, architecture review, or performance review after your agents ship. Tekk reads your repo, finds the gaps AI-generated code introduces, and tells you what to fix — grounded in your actual codebase, not generic checklists.

Multi-agent orchestration, coming next. Tekk connects to Cursor, Codex, Claude Code, and Gemini via OAuth. When the execution layer ships, Tekk will decompose approved specs into dependency-ordered subtasks, parallelize independent work across agents, and deliver a single PR at the end. Bring your existing agents — Tekk orchestrates them.


How It Works

Step 1: Connect your repo. Link your GitHub, GitLab, or Bitbucket repository. Tekk profiles it immediately — languages, frameworks, services, packages, directory structure. This is the foundation everything else is built on. Sessions preserve this context across turns so the agent builds on prior understanding rather than starting fresh.

Step 2: Describe the feature. Tell Tekk what you're building. A sentence or a paragraph — enough to establish intent. The agent will ask the right follow-up questions based on what it found in the code, not based on generic onboarding.

Step 3: Answer targeted questions and pick an approach. Tekk asks 3 to 6 questions grounded in your actual codebase. Then it presents 2 to 3 architecturally distinct approaches with honest tradeoffs. When there's one obvious path, it skips the options and goes straight to the plan. You stay in control of every decision.

Step 4: Get a structured spec. The plan streams live into a rich text editor — not a chat message. Scope boundaries, subtasks with acceptance criteria, file references, dependencies, assumptions, and validation scenarios. This is the document your coding agents actually need to execute correctly.

Step 5: Manage it on the Kanban board. The spec lives on a task card. Your full backlog is visible in one workspace. Track status, revisit the planning context, run follow-on review sessions. Each card carries its planning history — no lost context, no starting over.


Who This Is For

Non-technical founders running their entire product through vibe coding. You're building with Lovable, Bolt, or Replit. You can get code generated — but you can't evaluate whether that code is architecturally sound, secure, or maintainable. Tekk gives you the structure that makes your agents produce output worth keeping, and the review mode to catch what they missed.

Solo developers and small teams using Cursor or Claude Code. You've felt the chaos: specs in chat windows, agents executing on stale context, rework because the intent wasn't clear. Tekk is the platform layer that ends that. One workspace, codebase-grounded specs, and a backlog you can actually manage.

Teams of 2 to 5 people coordinating multiple agents. You're splitting work across Cursor for implementation, Claude Code for complex logic, and Gemini for UI specs. Without a platform coordinating that, you get conflicts, duplicate work, and lost context. Tekk's Kanban plus coming orchestration layer is built for exactly this.


What Is a Vibe Coding Platform?

A vibe coding platform manages the full lifecycle of AI-assisted development — from planning through execution, tracking, and review — not just the code generation step. This is a meaningful distinction from a vibe coding tool.

Vibe coding itself was coined by Andrej Karpathy in February 2025: you express intent in natural language, an AI generates code, you iterate. The practice exploded in 2025. By early 2026, 92% of US developers use AI coding tools daily and 21% of Y Combinator's Winter 2025 cohort have codebases that are over 90% AI-generated. The tools — Lovable, Bolt, Cursor, Replit, Emergent — are mature, well-funded, and widely adopted.

The problem is that generation is only one step. Without planning, vibe coding produces insecure, unmaintainable code at speed. Research shows AI-generated code carries 2.74x more security vulnerabilities than hand-written code and 1.7x more major bugs. The software engineering community — including ICSE 2026, Microsoft's Azure AI team, and GitLab — has converged on the same conclusion: structured planning before generation is the professional standard. A vibe coding platform provides that structure, plus the workflow layer to track, manage, and orchestrate what gets built.

Tekk.coach is a vibe coding platform in this sense. Generation tools like Cursor and Lovable are excellent at writing code. Tekk is what makes them excellent at writing the right code — grounded in your actual codebase, scoped correctly, and executed with precision.



Ready to Try Tekk.coach?

Vibe coding gets you to a working product faster than any previous approach. A vibe coding platform makes sure what gets built is worth keeping. Connect your repo, run your first spec, and manage your backlog from one workspace.

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