Consulting & services
Move fast with coding agents — and still own what they build.
Whether you want to roll out Claude Code, Codex, and friends across your team without drowning in unmaintainable code, or you'd rather we build it for you with AI — we can help. We do it the agent-native way, so velocity goes up and your codebase stays readable.
Free for teams
Start with a free Agentic Engineering workshop.
Agentic engineering, taught to your whole team.
Want your team to use AI to generate code that's maintainable, readable, and debuggable— code you keep evolving over time instead of rewriting? I'll run a hands-on agentic-engineering session for your developers, at no cost — the same Agent-Native Development workflow we use every day.
Why teams call us
Agents made your team fast. Did they make your codebase worse?
Most teams adopting coding agents hit the same wall: output skyrockets, then comprehension collapses. The prototype ships in a week; six months later nobody can safely change it. The agents aren't the problem — they're improvising against intent they were never given. We fix the system around the agents, not just the prompts.
- Agent-written code your team can't confidently review or maintain.
- A prototype that's become impossible to extend.
- Agents that hallucinate on your real, complex codebase.
- Fixes that introduce new bugs.
- Big, cross-cutting work that no single prompt can handle.
Engagements
What we do — two ways to work with us.
Offer A — Accelerate agent adoption
(done with you)
For engineering teams rolling out coding agents at scale.
- Stand up the agent-native workflow: a living knowledge base your team and agents share, served over a per-(user, project) MCP endpoint so every agent change is attributed to a person.
- Wire your agents (Claude Code, Codex, OpenCode, Cursor…) into that source of truth so they build to reviewed intent instead of guessing.
- Establish guardrails for maintainability and readability — how to author proposal specs, how to decompose big work into reviewable Task Lists, and how to review every change before it merges into the knowledge base.
- Train your developers on the practices, and leave them self-sufficient.
Outcome: higher velocity and a codebase your team can still own.
Offer B — Build it for you with AI
(done for you)
For teams who want the software, not the setup.
- We design and build your product using AI — applying the same discipline we teach: intent captured as a reviewed proposal spec, code generated to it, every big change sequenced as a reviewable Task List.
- You get working software plus the Work items, proposal specs, and Task Lists behind it, so what we hand over is maintainable from day one — not a black box.
Outcome: software shipped fast that your team can read, extend, and own.
Our approach
Agent-native. Every time.
Capture the intent
A proposal spec — objectives, architecture, and diagrams humans understand — authored before the code.
Ground the agents
They read that source of truth over MCP, so they build to it instead of inventing.
Decompose & orchestrate
Big work becomes an ordered, reviewable Task List, not one opaque leap.
Review before it lands
Every proposal and changeset is reviewed — with inline comments humans and agents both answer — before it merges.
Leave it maintainable
Knowledge base and code stay in sync; your team can take it from here.
Why Windy
We work on this every day.
We build Windy — the workspace for agentic engineering — so this is the problem we work on every day. We don't just have opinions about maintainable AI development; we've built the tooling and the workflow for it, and we'll bring both to your team.
What you get
What you walk away with.
FAQ
Questions about working with us.
Let's make your agents an asset, not a liability.
Tell us where you are with coding agents and what you're trying to ship. We'll come back with a concrete way forward.
windylogic.ai