In 2025 AI reshaped how groups assume, 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 sit up for 2026, listed here are three key traits we now have 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 write down 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 expertise 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’ function. As Kent Beck and Tim O’Reilly mentioned in November, builders are in the end liable for the code their chosen AI software produces. We all know that LLMs “actively reward present prime tier software program engineering practices” and “amplify present experience,” as Simon Willison has identified. And a great coder will “consider” questions that AI doesn’t. Does it actually matter which software is used?
The essential transferable talent for working with any of those instruments is knowing easy methods to 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 mission. Managing what the AI is aware of about your mission (context engineering) and speaking it (immediate engineering) are going to be key to doing good work.
The core expertise for working successfully with code received’t change within the face of AI. Understanding code assessment, 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 complete workforce 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, usually inside complicated setups involving multi-agent eventualities, 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 important. Nonetheless, the differential for senior engineers in 2026 can be how nicely they apply intermediate expertise akin to product considering, superior testing, system design, and structure to their work with agentic methods.
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 could possibly be old-fashioned by Friday.” By the point of our Superstream in August, issues had solidified somewhat extra and our audio system have been capable of 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 methods, processes, and governance. (Registration continues to be open—save your seat.) As these occasions present, AI has progressed from being one thing architects may need to contemplate 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 fairly than fastened prompts. This implies it’s extra vital 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 turn into extra vital as architects look to seek out methods to modernize present methods for AI with out derailing them. AI-native architectures may even convey new concerns and patterns for system design subsequent 12 months, as will the pattern 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, easy methods to contemplate price, easy methods to outline boundaries, and easy methods to act on the data they have already got. As Thomas Betts, Sarah Wells, Eran Stiller, and Daniel Bryant notice on InfoQ, “additionally they want 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?”
Corporations will proceed to decentralize duties throughout completely different features this 12 months, and AI brings new units of trade-offs to be thought of. It’s true that regulated industries stay understandably cautious of granting entry to their methods. They’re rolling out AI extra rigorously 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 would put together you for the complexity on the horizon.
Sturdy Foundations Matter
AI has modified the best way software program is constructed, nevertheless it hasn’t modified what makes good software program. As we enter 2026, crucial developer and structure expertise received’t be outlined by the software you realize. They’ll be outlined by how successfully you apply judgment, talk intent, and deal with complexity when working with (and typically towards) clever assistants and brokers. AI rewards robust engineering; it doesn’t change it. It’s an thrilling time to be concerned.
Be a part of us on the Software program Structure Superstream on December 9 to learn to higher navigate the impression of AI on methods, processes, and governance. Over 4 hours, host Neal Ford and our lineup of specialists 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 Consultants’ Lewis Crawford will share their hard-won insights about constructing adaptive, AI-ready architectures that assist 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 assets on O’Reilly.
