All resources
Guides
Practical, opinionated how-tos for shipping with AI.
The agentic coding workflow: plan, execute, verify
A hands-on guide for developers moving from autocomplete and chat to delegating real tasks to coding agents, with task briefs, feedback loops and review habits.
An engineering leader's guide to building an AI-native SDLC
How to go from individual developers using coding assistants to a deliberately designed lifecycle where agents take part in planning, coding, review, testing and ops.
How to choose an AI code review tool for your team
A vendor-neutral guide for engineering managers: tool categories, evaluation criteria, a 2-week bake-off on real PRs, and a rollout that won't annoy your developers.
Running a developer productivity initiative in the age of AI coding tools
A practical playbook for engineering leaders who must prove AI coding tools improve delivery, covering metrics, baselines, pilots, roles, a monthly scorecard and the pitfalls.
Loop engineering: stop prompting, start building the loop
How to go from prompting a coding agent by hand to engineering a bounded loop that prompts it until a goal is met, with gates, memory, budgets and a runnable bash sketch.
Building AI agents that survive production
A zero-to-production guide for your first AI agent: when to use one, the core loop, tool design, context, guardrails, evals, observability, failure modes, and a launch checklist.