From bug report to shipped fix: a Claude Code walkthrough
A realistic end-to-end Claude Code use case — from a vague production bug to a verified, shipped fix — with the exact decomposition and verification steps.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
A realistic end-to-end Claude Code use case — from a vague production bug to a verified, shipped fix — with the exact decomposition and verification steps.
Failure modes, blast radius, and containment for Claude Code agents — permissions, sandboxes, eval gates, and the controls that keep agentic coding safe.
What developers and leaders must learn for agentic coding with Claude Code to work — the real skills, role shifts, and a 90-day reskilling plan.
Going from one Claude Code team to many invites sprawl. A practical model for scaling agentic coding org-wide while keeping coherence and safety.
Agentic coding is not always right. A clear-eyed guide to when Claude Code shines, when it slows you down, and what to reach for instead.
Before scaling Claude agents, leadership needs guardrails. A practical governance model for permission scope, blast-radius review, and audit trails.
Claude Code adoption fails on habits, not features. The norms, rituals, and change-management moves that turn a pilot into a real way of working.
A defensible cost model for Claude Code: the four places real savings live, the costs to subtract, and how to measure ROI without fooling yourself.
A staged playbook for moving a workflow onto Claude agents: shadow mode, human-in-the-loop, incremental autonomy, and rollback discipline.