#future of development

Coding with an agent tends to settle into the same loop: prompt, check, re-prompt and repeat, burning time and tokens each pass. There's a better way, and it starts before any code gets written.

This talk puts two approaches head to head: the prompt-and-iterate loop most of us have fallen into, and spec-driven development. You'll see what each one produces, and what a spec gives you that prompting can't, including decisions you can review before any code exists and context your whole team can build on.

88% of organizations now report using AI, yet only 39% capture meaningful enterprise value from it (McKinsey State of AI Survey, Nov 2025). The gap between "we use AI" and "AI transformed our business" has never been wider. In this talk, I'll dissect why most AI adoption metrics are vanity metrics dressed in executive clothing, drawing on strategic AI research and my own experience rolling out AI-powered tools across IKEA's global supply chain. You'll walk away with a practical framework for measuring what actually matters: workflow redesign depth, decision-quality uplift, and compounding capability gains, not chatbot logins per month or tokens burned by your teams.

Manual coding as the primary activity in software development is ending.

Developers will not spend most of their time writing code. They will review, steer and constrain what AI systems produce. The bottleneck shifts from typing syntax to defining context, boundaries and intent.

When code can be generated instantly, the leverage moves to the system around it. Your internal developer platform, your golden paths, your compliance controls, your deployment standards and your observability become the real foundation of product development.

Without a strong platform, AI accelerates fragmentation. Different tools, inconsistent environments and ad hoc processes will compound into chaos at machine speed. With standardized workflows and paved roads, AI becomes a multiplier for quality and consistency instead of risk.

At the same time, each developer will likely be responsible for more software than ever before. As output increases, cognitive load must decrease. That means less variability, fewer bespoke setups and stronger defaults. The complexity of the systems must go down even if the volume of code goes up.

Internal developer platforms are no longer a productivity initiative. They are a prerequisite for succeeding in the AI era of software development. If you are rethinking your Content experience platform for this AI-driven era, partnering with an engineering-led headless CMS agency like FocusReactive turn these principles into a practical, scalable content platform.

The role of engineers is evolving in the AI era. As development tools become more powerful and accessible, the expectations for engineers are shifting from simply writing code to creating meaningful impact across teams and organizations.
In this talk, Gregor will share the concept of the engineering multiplier: an engineer who amplifies the effectiveness of the people around them, takes ownership beyond implementation, and proactively drives the most impactful work.

Ishai, CTO at LearnrB, discusses the evolution and impact of AI code reviews in software development. The transition from experimentation to maturity with autonomous AI agents in code reviews is highlighted. Challenges in AI-driven code creation and review processes, as well as the benefits of AI code reviews for productivity and efficiency, are discussed. Common mistakes and challenges in AI code review adoption, along with the importance of adapting processes for AI advancements, are emphasized. The importance of enhancing AI code review processes, measuring their impact, and leveraging AI for productivity metrics is also explored.

Discussing the importance of adopting AI in legacy modernizations and the risks associated with outdated systems, challenges in legacy ecology, reliability rupture, and migration mutiny. Exploring Lean Tech at Theodos for maintaining agility and customer value, improving system architecture through visualizing endpoints and high-quality coding. Optimizing accuracy with agent coders, industrializing migration with LeanTech principles for 10x acceleration. Leveraging AI for product building, AI model evaluation, and the preference for Claude over GPT in migration.

Today's Talk covers native features in browsers, including upcoming ones and the Interop Project. Native features offer speed, compatibility, and improved debugging. Notable examples include dynamic viewport units, flexbox/grid gap, container queries, and motion path. The Interop Project ensures consistent web platform features across different browsers. Upcoming features like native CSS nesting and entry/exit animations are on the horizon.

During the Talk, the speaker discusses the power of streaming and its impact on music consumption and production. They also explore the challenges and benefits of incorporating streaming into software development, using examples from Spotify. The future of code development is envisioned as a streaming world, where code is always live and changes are instantly available to everyone. The speaker emphasizes the importance of treating components as complete products, prioritizing component reviews, and enhancing the workflow for forking and contributing to components.

This Talk explores controlling apps with the mind and the future of UI and UX. It discusses the integration of VR and AR into UI and UX, the understanding of neurons and EEG headsets, connecting to Muse via Bluetooth, measuring brain waves and blink detection, feeding data to machine learning, and mind control with AR. The speaker emphasizes the importance of learning React Native, AR, React, Bluetooth, and drones for those interested in exploring these topics.