In 2025 AI reshaped how groups suppose, construct, and ship software program. We’re now at a degree the place “AI coding assistants have shortly moved from novelty to necessity [with] as much as 90% of software program engineers us[ing] some form of AI for coding,” Addy Osmani writes. That’s a really completely different world to the one we have been in 12 months in the past. As we look forward to 2026, listed here are three key developments we’ve got seen driving change and the way we expect builders and designers can put together for what’s forward.
Evolving Coding Workflows
New AI instruments modified coding workflows in 2025, enabling builders to put in writing and work with code quicker than ever earlier than. This doesn’t imply AI is changing builders. It’s opening up new frontiers to be explored and abilities to be mastered, one thing we explored at our first AI Codecon in Could.
AI instruments within the IDE and on the command line have revived the talk in regards to the IDE’s future, echoing previous arguments (e.g., VS Code versus Vim). It’s extra helpful to concentrate on the instruments’ objective. As Kent Beck and Tim O’Reilly mentioned in November, builders are finally accountable for the code their chosen AI instrument produces. We all know that LLMs “actively reward current high tier software program engineering practices” and “amplify current experience,” as Simon Willison has identified. And a great coder will “consider” questions that AI doesn’t. Does it actually matter which instrument is used?
The crucial transferable talent for working with any of those instruments is knowing talk successfully with the underlying mannequin. AI instruments generate higher code in the event that they’re given all of the related background on a venture. Managing what the AI is aware of about your venture (context engineering) and speaking it (immediate engineering) are going to be key to doing good work.
The core abilities for working successfully with code gained’t change within the face of AI. Understanding code overview, design patterns, debugging, testing, and documentation and making use of these to the work you do with AI instruments would be the differential.
The Rise of Agentic AI
With the rise of brokers and Mannequin Context Protocol (MCP) within the second half of 2025, builders gained the flexibility to make use of AI not simply as a pair programmer however as a whole staff of builders. The audio system at our Coding for the Agentic World stay AI Codecon occasion in September 2025 explored new instruments, workflows, and hacks which are shaping this rising self-discipline of agentic AI.
Software program engineers aren’t simply working with single coding brokers. They’re constructing and deploying their very own customized brokers, typically inside complicated setups involving multi-agent situations, groups of coding brokers, and agent swarms. This shift from conducting AI to orchestrating AI elevates the significance of actually understanding how good software program is constructed and maintained.
We all know that AI generates higher code with context, and that is additionally true of brokers. As with coding workflows, this implies understanding context engineering is crucial. Nonetheless, the differential for senior engineers in 2026 will probably be how nicely they apply intermediate abilities equivalent to product pondering, superior testing, system design, and structure to their work with agentic techniques.
AI and Software program Structure
We started 2025 with our January Superstream, Software program Structure within the Age of AI, the place speaker Rebecca Parsons explored the architectural implications of AI, dryly noting that “given the tempo of change, this may very well be outdated by Friday.” By the point of our Superstream in August, issues had solidified just a little extra and our audio system have been in a position to share AI-based patterns and antipatterns and clarify how they intersect with software program structure. Our December 9 occasion will have a look at enterprise structure and the way architects can navigate the impression of AI on techniques, processes, and governance. (Registration remains to be open—save your seat.) As these occasions present, AI has progressed from being one thing architects might need to think about to one thing that’s now important to their work.
We’re seeing profitable AI-enhanced architectures utilizing event-driven fashions, enabling AI brokers to behave on incoming triggers somewhat than fastened prompts. This implies it’s extra essential than ever to know event-driven structure ideas and trade-offs. In 2026, matters that align with evolving architectures (evolutionary architectures, health features) may even develop into extra essential as architects look to seek out methods to modernize current techniques for AI with out derailing them. AI-native architectures may even carry new concerns and patterns for system design subsequent yr, as will the development towards agentic AI.
As was the case for his or her engineer coworkers, architects nonetheless need to know the fundamentals: when so as to add an agent or a microservice, contemplate price, outline boundaries, and act on the data they have already got. As Thomas Betts, Sarah Wells, Eran Stiller, and Daniel Bryant observe on InfoQ, in addition they “nee[d] to know how an AI aspect pertains to different components of their system: What are the inputs and outputs? How can they measure efficiency, scalability, price, and different cross-functional necessities?”
Firms will proceed to decentralize tasks throughout completely different features this yr, and AI brings new units of trade-offs to be thought-about. It’s true that regulated industries stay understandably cautious of granting entry to their techniques. They’re rolling out AI extra fastidiously with higher guardrails and governance, however they are nonetheless rolling it out. So there’s by no means been a greater time to know the foundations of software program structure. It is going to put together you for the complexity on the horizon.
Robust Foundations Matter
AI has modified the way in which software program is constructed, nevertheless it hasn’t modified what makes good software program. As we enter 2026, an important developer and structure abilities gained’t be outlined by the instrument you understand. They’ll be outlined by how successfully you apply judgment, talk intent, and deal with complexity when working with (and generally in opposition to) clever assistants and brokers. AI rewards robust engineering; it doesn’t exchange it. It’s an thrilling time to be concerned.
Be part of us on the Software program Structure Superstream on December 9 to learn to higher navigate the impression of AI on techniques, processes, and governance. Over 4 hours, host Neal Ford and our lineup of consultants together with Metro Financial institution’s Anjali Jain and Philip O’Shaughnessy, Vercel’s Dom Sipowicz, Intel’s Brian Rogers, Microsoft’s Ron Abellera, and Equal Specialists’ Lewis Crawford will share their hard-won insights about constructing adaptive, AI-ready architectures that help steady innovation, guarantee governance and safety, and align seamlessly with enterprise targets.
O’Reilly members can register right here. Not a member? Join a 10-day free trial earlier than the occasion to attend—and discover all the opposite sources on O’Reilly.
