Agentic coding for teams
Get your engineers real work out of coding agents, not just autocomplete.
I lead the agentic coding effort at Turn.io. I rolled out Claude Code to the engineering team, manage the licences, help engineers get real work out of it and wrote the Claude-based PR review skills the team uses every day.
Licences are the easy part
Buying seats for a coding agent takes an afternoon. Getting a team to use it well takes deliberate work: conventions the agent can follow, permissions that keep it safe, skills for the work you repeat, and engineers who know when to delegate and when not to.
At Turn.io I rolled out Claude Code to the engineering team, manage the licences and help engineers get real work out of it. I also wrote the Claude-based PR review skills the team uses on its pull requests.
What I do
Rollout. Start with a pilot group, choose the tasks where agents shine, measure, then expand. Licences, permissions and security boundaries are set up from day one.
Make the codebase agent-friendly. Project instructions, commands for common workflows, hooks that enforce formatting and tests, and MCP servers for your internal tools.
Custom skills. Encode your team’s recurring work, including PR review against your standards, database migrations, test generation, incident write-ups and release notes.
Pairing and workshops. Hands-on sessions in your own repositories, where engineers learn by doing.
Related
Ways to engage
Team rollout
Four to six weeks of setup, conventions, custom skills and pairing with a pilot group, then the wider team.
Review automation
Build AI PR review skills tuned to your codebase and standards, wired into your Git workflow.
Workshop
A half-day or full-day hands-on workshop for your engineers, using your own repositories.
Questions
Will coding agents replace our engineers?
No. In my experience they change what engineers spend time on. There is less typing boilerplate and more specifying, reviewing and verifying. The teams that benefit most are the ones that invest in conventions and review.
Is it safe to let an agent work in our repositories?
With the right setup, yes. That means scoped permissions, no production credentials in the agent's environment, sandboxing where appropriate, and human review of every change. I help you set those boundaries explicitly.
What does an AI PR review skill check?
Whatever your human reviewers keep repeating, for example security pitfalls, migrations that lock tables, missing tests, API conventions or style guide rules. Focused, specialised checks beat one generic "review this" prompt.