July 2027
Intermediate
400 pages
3h 46m
English
Overview
Every senior engineer has experienced it: Productivity gains from AI coding assistants work brilliantly in a prototype but hit a wall when faced with a legacy codebase or a system that actually has to ship. This isn't a new problem. Scaling any kind of development requires techniques to manage complexity, maintain quality, and address tech debt. AI-driven development is no different.
Agentic Engineering at Scale by Chris Ford shows you how to use agentic coding, harness engineering, guardrails, and spec-driven development to generate robust systems of applications. Starting with the working systems you already have, it demonstrates how to continuously regenerate your production code, keeping your technology up-to-date, your users happy, and your technical debt under control.
- Evaluate whether a regenerative approach suits your codebase and organizational context
- Reverse-engineer business logic from legacy systems to establish a foundation for agentic development
- Apply harness engineering and guardrails to maintain quality at enterprise scale
- Coordinate coding-agent swarms for sustainable, high-output development workflows
- Lead adoption initiatives that bring AI coding gains from individual experiment to organizational practice
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