A financial technology leader shares 13 practical lessons on scaling AI coding from proof-of-concept to production, covering governance frameworks, risk-based agent permissions, DORA metrics, skill marketplace design, and legacy modernization strategies.
This article details the Strangler Fig Pattern for migrating legacy monoliths to microservices, using a facade layer, dual-write with local message tables, traffic mirroring, and one-click rollback, illustrated with a 14-month retail migration and the TSB bank failure case.
At a three‑day Thoughtworks summit in Engelberg, senior engineers agreed that AI‑driven code generation has become abundant, while the true bottleneck now lies in verification, governance, and maintaining human judgment across legacy modernization, token economics, and organizational practices.
This article argues that traditional enterprises should pursue digital transformation by activating their decades-old core advantages — industry expertise, trusted channels, supply chains — through a three-step process: inventory strengths, pilot digital integration points, and gradually reconstruct business models, illustrated by cases in agricultural supplies, ceramics, and machine tools.
The article presents a step‑by‑step AI‑enhanced workflow for modernising legacy systems, explaining how OpenSpec’s spec‑driven requirement layer and Superpowers’ strict execution pipeline (brainstorming, isolated worktrees, TDD, code review) together resolve inaccurate demand understanding and uncontrolled code generation, with a concrete flash‑sale implementation and practical pitfalls.
This article explores how generative AI, integrated into intelligent IDEs, can accelerate the analysis, redesign, and migration of legacy systems by providing scenario‑driven code enhancement, automated testing, custom actions, and living documentation, while also addressing validation and customization challenges.
