The article reflects on discussions from The Pragmatic Summit in San Francisco and a workshop on “The Future of Software Development,” where industry veterans and leaders shared views on how artificial intelligence (AI) is reshaping software engineering. Many participants agreed that this period marks a faster shift than the industry has seen in decades, with AI tools increasingly writing, assisting, and evolving code generation workflows. For example, even engineers writing low-level languages like Assembly are now seeing large portions of their output generated by AI tools.
One major theme is how organisations win — or struggle — with AI adoption. New data presented at the summit suggests that about 92 % of developers use AI coding tools monthly, and while some “healthy” engineering teams see improvements in quality, onboarding, and reduced bugs, others without solid development practices experience more frequent incidents when AI is added to the mix. This highlights that AI acts as an amplifier of existing organisational strengths or weaknesses rather than a universal productivity panacea.
The article also explores what an AI-native engineering organisation looks like, with leaders from GitHub and Atlassian discussing how teams that embrace AI agents — from code generation to brainstorming partners — can multiply output and enable remote, distributed work. However, the piece stresses that adopting AI tools often requires cultural and process changes within organisations, and that leadership must mandate their use thoughtfully to avoid friction with restrictive IT policies.
Finally, the newsletter touches on broader questions about the future role of software engineers. With AI handling more routine coding, engineers are increasingly expected to focus on higher-level design, architecture, system cohesion, and problem-solving — skills that AI has not yet supplanted. Moreover, seasoned developers must adapt to new workflows and help mid-career engineers “catch up” with AI-centric practices, indicating that human expertise will remain central even as AI writing tools proliferate across the industry.
