
AI Consulting · Safe workflow
Development workflow with AI + GitHub
A safe lane from idea to production so non-technical profiles can build with AI without breaking anything.
The challenge
Non-technical profiles needed to build internal tools and landing pages with AI autonomously — without causing merge conflicts, breakages, or architecture decisions made without technical judgment.
The solution
We designed an end-to-end "safe lane" — from idea to production — with automated GitHub guardrails, custom AI-assistant capabilities, and a technical validation gate at the critical points.
The safe lane
- 01Idea
- 02AI assistant
- 03Pull Request
- 04Preview
- 05Production
What we delivered
- 01
GitHub guardrails: branch protection, mandatory PRs, and CI (lint, typecheck, build, and tests) on every change.
- 02
Deploy previews: a visible URL for every Pull Request before it reaches production.
- 03
AI-assistant capabilities: per-repo context and conventions, guided commands, skills, and custom subagents.
- 04
Technical governance: the stack and architecture are never decided by the non-technical profile.
- 05
Training and handover: runbook with screenshots, recorded session, and replication kit.
Got a project like these?
Tell us where you stand today and we'll tell you where we would start.
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