Shipping a Feature End-to-End with Claude Agents
A realistic walkthrough of building a product feature with Claude Code — from vague request to deployed, verified code, step by step.
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 walkthrough of building a product feature with Claude Code — from vague request to deployed, verified code, step by step.
Failure scenarios, blast radius, and containment patterns for Claude agents running across CI, data, and support tooling. A practical 2026 guide.
Failure scenarios, blast radius, and containment for production Claude agents — scoping, sandboxing, human gates, and rollback patterns.
The new skills, hiring shifts, and retraining engineers, PMs, and leaders need to ship products with Claude agents in 2026.
What engineers must learn and who to hire as Claude API skills spread across developer tools. A practical 2026 guide to retraining and roles.
How to scale Claude-agent development across an organization without chaos — shared MCP servers, Agent Skills, org-wide evals, cost visibility, and paved-road governance.
Scale Claude agents from one team to many: shared skill libraries, golden paths, federated governance, and cross-org telemetry that keep growth coherent.
Honest trade-offs of building products with Claude agents: where they win, where they quietly lose, and the scripts, libraries, and humans that often beat them.
Honest trade-offs for Claude agents: when Claude Code and agentic systems are the right call, when a script or single call wins, and how to choose.