AI adoption in code reviews
Establish three shared practices: assisted reviews, prompts and quality checklists.
Context
At Witik, the 10-person delivery team (6 developers, 2 QA engineers, 1 product owner and me as Tech Lead Delivery) contributes to a B2B SaaS platform used by 20,000+ users and 100+ clients.
My contribution
I introduced Claude Code for assisted reviews, structured prompts and automated quality checklists.
Observed result
Three practices are now structured in the team workflow: assisted reviews, shared prompts and quality checklists. No reliable before/after figures are available to quantify their effect on lead time or defect rates.
Decisions and practices
Start with engineering practices
I introduced Claude Code for assisted reviews, structured prompts and automated quality checklists. Team needs guide use of the tool.
Keep human judgment
AI assists the work; the team remains responsible for technical decisions and deliverables. The manager supports adoption and preserves quality.
What this experience demonstrates
- AI adoption within the team workflow.
- Shared prompts and quality checklists.
- Technical responsibility retained by the team.