BrainMo
BrainMo builds systems to reduce the administrative and cognitive load on primary school teachers in England. Their small engineering team was shipping fast with AI-assisted tools but struggling with a high bug rate, coordination overhead, and inconsistent output quality.
Industry
EdTech / Education
Service Type
AI Workflow Audit & Technical Consulting
Duration
One week (Feb 23–27, 2026)
Result
40–50% development time saved
The Challenge
BrainMo's engineering team was using AI-assisted development tools but consistently running into the same categories of bugs:
- 43% UI bugs — visual details missed or not implemented to spec
- 30% feedback-loop bugs — developers not following specifications exactly
- High regression rate — fixes breaking existing functionality
- 40% coordination overhead — too much synchronous pairing required to catch issues
The team had already done a thorough internal review of their own processes. They understood the pain points. What they needed was an external technical perspective: what tools, processes, and automation would specifically address those patterns.
What We Did
Tobias conducted a one-week technical workflow and tech stack review:
- Kick-off call — 60-minute overview with the product and engineering leadership
- Engineer interviews — two 30-minute sessions with the senior developers to understand their day-to-day workflow, tooling, and friction points
- Async review — analysis of their Miro architecture documentation, Figma design files, and development workflow
- Written recommendations report — a prioritised, actionable document covering tooling decisions, workflow improvements, root cause analysis, and an implementation roadmap
- 60-minute walkthrough — live session with founders and engineering managers to walk through every recommendation
Key recommendations delivered:
- Switch primary AI coding tool to Codex App (GPT Codex) for better spec adherence and UI accuracy
- Implement a three-stage code review loop: local Codex review → Codex CLI with high-reasoning model → human review
- Activate existing Playwright setup for visual regression testing
- Set up Sentry for production error monitoring (had none)
- Upgrade Vercel to Pro to enable deployment protections and CI/CD gates
- Consolidate specs into a single source of truth alongside the codebase
- Define a spec-first development process with designer-created feature documents before implementation begins
The Result
Three weeks after implementation, Kerry Hugill reported back:
"We've now been able to put the new workflow and tools through more of a wringer, and it looks like it's saving us 40–50% development time, with greatly improved accuracy!"
The team adopted both the tooling changes and the spec-first workflow. The Design Spec Docs — previously missing — added some upfront time but made the downstream implementation significantly more accurate and predictable.
The development and design teams aligned on a new handover process, reducing the back-and-forth that had accounted for nearly 40% of coordination time.
Build with us. Reach out today.
Shipping fast with AI tools but fighting bugs? A vibe coding audit finds the root causes and gives you a systematic fix.