Claude Code is good. But if you're prompting it cold — no codebase context, no plan, just a paragraph — you're not getting its best work. Anthropic's own best practices documentation emphasizes that quality depends almost entirely on the context Claude receives. You're getting generic output that doesn't know your files, doesn't respect your architecture, and needs three rounds of correction before it's usable.

Tekk gives Claude Code something better than a cold prompt: specs its loops wrote from your code.

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How Tekk.coach Fits Your Claude Code Workflow

Claude Code needs two things to work well: context and a plan. Most developers try to provide those through CLAUDE.md files, plan mode, and carefully crafted prompts — what Anthropic's documentation calls the Explore, Plan, Implement, Commit workflow. That works — if you're disciplined about it on every single task.

Tekk makes the structured spec the default input, not a discipline you have to maintain.

This is the foundation of spec driven development — building the plan before writing a line of code, so your agent executes correctly the first time.

Tekk connects to your GitHub repo, and twelve loops start reading it — Security, Testing, Code quality, AI engineering and the rest. Each wakes when your code changes, reads what changed, and follows it to what it touches.

Then it works one method end to end and brings at most one proposal. Not generic advice — a finding about your specific files, your actual dependencies, the real constraints in your repo. You greenlight it, or decline it with a reason.

A greenlit proposal becomes a structured spec: scope boundaries (what's building and what's explicitly not), acceptance criteria and file references, and a build-order checklist.

Claude Code reads that spec through the Tekk MCP server. Claude Code gets the context it needs at the file level, not the paragraph level.

Key Benefits

Specs Claude Code can actually execute Not a vague task description. A complete plan with subtasks broken into behavioral slices, file references, and acceptance criteria per step. One developer measured a 40% productivity increase on a large project after switching from ad-hoc prompts to structured specs. Claude Code knows exactly what to do and where.

Codebase-grounded, not guessed Tekk's loops read your repo before proposing anything. The spec references real files, real patterns, real dependencies. No hallucinated suggestions about architecture that doesn't match your codebase.

Scope protection built in Every spec has a "Not Building" section. Claude Code executes what's in the spec — nothing else. Scope creep doesn't happen when the boundaries are explicit before the first line of code.

A board that follows git Visual To Do / In Progress / Done board. Each spec shows the pull requests linked to it, and a merged closing PR moves it to Done on its own. You see everything — what the loops proposed, what's in progress, what shipped — without switching tools. When you're ready to scale up, running several specs in parallel is one blitz away.

How It Works

  1. Connect your repo to Tekk — GitHub, then turn on the loops you want.
  2. Install the plugin — /plugin marketplace add guccikudo92615/tekk-skills, then /plugin install tekk@tekk. That connects the MCP server; there is no separate step.
  3. The loops find the work — each wakes on a code change, a Sentry signal, or an area gone unexamined, and brings at most one proposal grounded in your actual files.
  4. Sweep and decide — /mcp__tekk__sweep re-checks every pending proposal against the code as it is now and reports which still hold. You greenlight or decline; nothing is decided without your yes.
  5. Claude Code builds the spec via MCP — one spec at a time, or /mcp__tekk__blitz opens a session per spec in the biggest batch that won't collide.
  6. The merge closes the spec — put Closes TEK-123 in the PR, or open it from the spec's branch. When it merges and the checklist is done, the spec completes on its own.

Every step is live today. The merge in step 6 is the next change the loops read in step 3.

Who This Is For

Claude Code users who want consistent output You know Claude Code works. You've seen it nail something complex. But you need it to work that way on every task — not just when you spend 20 minutes crafting the perfect prompt. As the Claude Code creator shared about his own workflow, the key is making structured input the default, not a discipline you maintain manually. That's exactly what Tekk does.

Developers building on top of Claude Code Building a workflow around Claude Code — custom commands, MCP integrations, spec-to-PR automation? Tekk sits at the front of that pipeline: its loops supply the specs, and the MCP server and plugin skills let Claude Code work them. Teams looking to go further can explore ai agent orchestration to run multiple coding agents in parallel on the same codebase.

Solo founders using Claude Code to ship No senior architect on the team. You're making architecture calls in domains you're not deep in. Tekk's specialist loops — Security, Payments, Reliability — read every change and put what they find in a spec. You get a real finding, not a guess.

What Is Claude Code?

Claude Code is Anthropic's agentic coding tool for AI-assisted development. It runs in your terminal, reads your codebase, and executes multi-step coding tasks on its own — writing code, running tests, fixing failures, opening PRs.

It's not inline autocomplete. It's not a chat window. It's agentic: you give it a task, it works through it end to end. It can read any file in your repo, run any shell command (with configurable permissions), and connect to external tools via MCP.

Quality depends almost entirely on the context it gets. Developers report that context window degradation starts around 70% usage, with hallucinations increasing significantly past 85%. A spec with file references and acceptance criteria produces fundamentally different output than a one-sentence description. That gap is exactly what Tekk fills. Developers running ambitious projects often pair this with claude code parallel agents to execute multiple independent subtasks simultaneously.