Agentic Coding Workflow
Giving your agents a paragraph and hoping for the best isn't a workflow. It's faster flailing.
Your agents are only as good as what you hand them. Tekk builds the structured agentic coding workflow that comes before any agent touches your code — grounded in your actual codebase, with scope boundaries and acceptance criteria baked in. Your agents execute. They don't wander.
How Tekk Does the Agentic Coding Workflow
Most developers have the execution layer covered. Cursor, Codex, Claude Code — these are good tools. What they don't have: a planning layer that produces specs grounded in the actual repo.
Tekk is that planning layer. Every session runs through a five-stage pipeline: Search → Questions → Options → Plan → Execute. The first four stages run today. Each one grounds the next step in codebase context so that when a spec finally hits your coding agent, the agent has everything it needs to execute correctly.
The output isn't a chat message you paste somewhere. It's a living spec that streams into an editable document — with a TL;DR, explicit scope boundaries, subtasks with acceptance criteria and file references, assumptions with risk levels, and concrete validation scenarios. That's what a coding agent needs. That's what Tekk produces.
The Execute stage — dispatching approved specs directly to Cursor, Codex, Claude Code, or Gemini via OAuth — is coming next. Steps 1-4 are live now.
Key Benefits
Structured multi-stage workflow, not one-shot prompting Each stage builds on the last. The agent reads your code first, then asks informed questions, then presents real tradeoffs, then writes the spec. Nothing is guessed. Nothing is skipped.
Codebase-grounded at every step Before generating anything, Tekk searches your repository — semantic search, file search, regex, directory browsing, full repo profiling. Every question and every plan references your specific files, patterns, and dependencies. Not boilerplate.
Options with real tradeoffs, not a wall of text When a decision matters, Tekk presents 2-3 architecturally distinct approaches with honest tradeoffs. You pick the direction before the spec gets written. No rework because the agent guessed wrong.
Spec output your agentic tools can actually execute
What developers type into Cursor: "Add magic link auth to my app". What Tekk hands Cursor: a complete spec with database schema, API routes, acceptance criteria per subtask, file targets, and a "Not Building" section. The difference between an agent that ships and one that spins.
How It Works
The Tekk agentic development workflow runs in five stages.
Stage 1: Search The agent reads your codebase before asking a single question. Semantic search for intelligent code discovery. File search and regex for precise lookups. Directory browsing for structural understanding. Repository profiling across languages, frameworks, services, and packages. Supports GitHub, GitLab, and Bitbucket.
Stage 2: Questions With codebase context in hand, the agent asks 3-6 questions grounded in what it found. Not generic prompts — questions that reference specific files, call out real patterns, and surface architectural decisions the plan will depend on. Your answers are the foundation of every option and subtask that follows.
Stage 3: Options When a real tradeoff exists, the agent presents 2-3 architecturally distinct approaches. Each option includes what you get and what you give up. You choose before anyone writes a spec. When there's an obvious path, this stage is skipped — Tekk doesn't manufacture complexity.
Stage 4: Plan The agent writes the complete spec, streamed in real time into the task editor as the actual working document. Every plan includes: TL;DR, Building / Not Building scope boundaries, subtasks with acceptance criteria and file references, assumptions with risk levels, and concrete end-to-end validation scenarios.
Stage 5: Execute (coming next) Dispatch approved specs directly to your agentic coding tools — Cursor, Codex, Claude Code, Gemini — via OAuth. Tekk decomposes plan subtasks by dependency order, groups independent subtasks into parallel waves, and tracks real-time progress on the kanban board.
Who This Is For
Developers building with agentic coding tools who've hit the wall. You're using Cursor or Claude Code. You're getting output, but it's not quite right — wrong file, missed edge case, scope creeping in directions you didn't authorize. The problem isn't the agent. It's that it never got a real spec. Tekk fixes that.
Teams who want a repeatable agentic development workflow without ceremony. No 20-page PRDs. No alignment meetings. No backlog grooming rituals. Connect your repo, describe the problem, work through the five stages, and hand a structured spec to your agent. It takes an hour to plan what would have taken a week to rework.
AI-forward founders and small teams who are tired of scattered markdown files and chat threads. You're building across domains where you're not the expert — security, payments, data pipelines. Tekk searches the web during planning to bring current best practices into the spec, so you're not flying blind into your agent's code.
What Is an Agentic Coding Workflow?
An agentic coding workflow is a structured process for using autonomous AI agents in software development — planning, codebase grounding, and human checkpoints before the agent touches a line of code. The alternative is one-shot prompting: type a description, hope the agent delivers, debug what comes out. Structured workflows resolve architectural decisions and scope boundaries upfront. The agent gets a real spec. It executes.
The framing came fast. Andrej Karpathy popularized "vibe coding" in early 2025 — describe what you want, let the AI figure out implementation. By early 2026, he reframed it as "agentic engineering": same capability, professional discipline applied on top. The community landed on a clear split: vibe coding for prototypes, structured workflows for production.
The field is evolving toward a plan-then-execute pattern. Research from the 2026 Anthropic Agentic Coding Trends Report shows multi-agent pipelines becoming the standard for complex work, with specialized roles (feature author, test generator, code reviewer, architecture guardian) and human approval at key checkpoints. The planning layer — what Tekk handles — is what determines whether those downstream agents execute well or flail. AI agentic coding is powerful. Structure is what makes it reliable.
Start Planning Free →
Your agentic coding tools are waiting on a spec that actually tells them what to do. Connect your repo, run through the workflow, and hand your agents something they can execute against.