GitHub holds your code.
DevStride holds your plan.
Together they ship.
We build DevStride on DevStride, with Claude working in the middle. The loop is simple: AI proposes, you approve, it applies. Three of us ship what used to take thirty. Here is exactly how, so you can run it too.
Plan with AI. Deliver on a loop. Keep the judgment.
GitHub is the repo for your code. DevStride is the repo for your plan, ideas, and requirements. We put them on either side of AI and work the plan a step at a time. It does the legwork. You decide.
We plan with an architect
A senior architect maps the milestones alongside AI, and detail fills in as we go. The plan keeps evolving in DevStride, never planned too far ahead.
We execute on a loop
AI reads the plan and works it a step at a time, writing code, docs, and progress back into DevStride daily. It stops to ask at every real decision.
We run adversarial review on our own work
Independent models argue every step out on our own PRs, and we only call a step done when they agree it's production ready. Quality holds even at speed.
How three of us deliver what used to take thirty.
We spent the last year figuring out how to actually deliver software with AI, not just generate code. Here is the loop we run, and it runs on DevStride.
A senior architect maps the milestones
A few days working alongside AI to lay out the major milestones, challenge assumptions, and build the initial roadmap. This part is not optional: the framework has to be guided by someone who knows what they're doing.
Skills and loops fill in the detail
We build detail as we go, never planning too far ahead as long as the milestone dates hold. Skills continuously write stories, documentation, and project detail back into DevStride.
Adversarial review before implementation
Rewriting a paragraph is cheaper than refactoring a codebase, so we argue the plan out before any code exists. Multiple models challenge the description until it becomes the canonical reference for the feature.
The loop runs until it needs a human
AI works through the plan, looping until it genuinely needs judgment. As new information surfaces, DevStride is updated first, so the description reflects the current plan.
Three models must agree it's done
Before any story is marked complete, Claude reviews it, then Codex and Copilot independently. It's only done when all three agree it's production ready.
Reconcile daily, status comes from the record
Every day, the loop writes progress, docs, and decisions back into DevStride, and we draft customer-ready status from the live record. Then repeat until done.
We built our Service Desk module exactly this way.
A senior architect planned it with AI, the loop executed it a step at a time, and the plan, progress, and proof stayed in DevStride throughout. We planned and shipped the full V1 in 19 days, with three people.
What the DevStride record reads like after the loop has run. Plan, progress, and proof, in one place.
The loop runs on the DevStride MCP Server.
Run the loop yourself, or have us run it for you.
DevStride is the platform your teams plan and deliver on. DevStride Co-Build is a separate service for when you need the software itself built: our engineers ship your product, tracked in DevStride so you keep full visibility into every decision and dependency.
DevStride
Your team plans, tracks, and ships on DevStride, whether you deliver client services, build your own product, or both. Workstreams, roadmaps, and portfolio analytics; the MCP Server and agent-ready workflows; your plan and your full delivery record, from day one.
DevStride Co-Build
Don't have the engineers? Ours build your product for you, every commit tracked in DevStride. Senior engineers building your product, every decision in your DevStride, and you can hand off to your own team anytime, with nothing to migrate.
See how Co-Build works →“Our clients see what's happening, when, and why. Every implementation we deliver runs on DevStride, with the full record behind it.”