2026 Predictions: Will We Still Write Code, or Just Manage Agents?

T
Turing Post Dec 22, 2025

Audio Brief

Show transcript
This episode explores how Generative AI is fundamentally transforming software development, moving beyond simple code completion. There are three key takeaways: first, developers must adapt to a managerial workflow; second, begin experimenting with AI-native tools now; and third, prepare for increased non-technical collaboration. Developers will transition from writing code line-by-line to orchestrating and managing autonomous AI agents. The role shifts towards higher-level tasks like planning and system design. Traditional Integrated Development Environments are predicted to be replaced by agent orchestrators by 2026. Start exploring AI-native development tools and platforms that facilitate multimodality and continual learning. AI’s simplification of coding will empower non-technical individuals to build software. Engineers should prepare to collaborate as expert reviewers and architects for projects created by a wider range of users. The future of software development demands a rapid evolution in skills and tools, emphasizing AI orchestration and broad collaboration.

Episode Overview

  • The episode explores how Generative AI is fundamentally transforming the field of software development, moving beyond simple code completion.
  • Experts predict a rapid shift away from traditional coding in Integrated Development Environments (IDEs) toward a new paradigm of orchestrating and managing fleets of AI agents.
  • Leaders from Google DeepMind, Replit, Cursor, and other top AI companies share their predictions for what coding will look like in 2026.
  • The discussion covers the new developer workflow, the rise of multimodality (voice, image, video), and how the very definition of an engineer is set to change.

Key Concepts

  • From Coding to Orchestrating: The central theme is the evolution of the developer's role from writing code line-by-line to overseeing, managing, and directing autonomous AI agents that perform the actual coding tasks.
  • The End of the IDE: A bold prediction is made that traditional IDEs will become obsolete by 2026, replaced by "agent orchestrators" which will serve as a console for managing AI coding agents.
  • The Decade of Agents: The idea that the next ten years will be defined by the rise of autonomous AI agents, with software engineering being one of the first fields to be completely reshaped by this trend.
  • Multimodality and New Senses: The future of development will involve interacting with AI using various inputs, including voice commands, images, and video, making the process more intuitive and accessible to non-technical users.
  • Continual Learning for Models: A significant future goal is for AI models to develop the ability to learn and retain context over time, behaving more like human colleagues rather than stateless tools that require re-briefing for every task.

Quotes

  • At 01:50 - "If you're still using an IDE by next summer, you're not a good engineer anymore. And that's going to be really, really, really, really hard for most of the world's engineers to swallow." - Steve Yagge of Sourcegraph makes a provocative prediction about the rapid obsolescence of traditional coding environments.
  • At 03:50 - "I think 2026, agent users will become more managers than ICs [Individual Contributors]." - Michele Catasta of Replit explains how the fundamental role of a developer will shift from writing code to managing AI agents that do the work.
  • At 06:27 - "I think 2026 might be the year of voice agents." - Dex Horthy of HumanLayer predicts that despite the technical challenges, voice will emerge as a key interaction model for software development.

Takeaways

  • Adapt to a Managerial Workflow: Developers should prepare to transition their skills from pure coding to higher-level tasks like planning, system design, and managing AI agents, as orchestration is poised to become a core competency.
  • Start Experimenting with AI-Native Tools: To stay ahead of the curve, begin exploring and integrating AI-native development tools and agent-based platforms into your workflow now, as they are predicted to quickly become the industry standard.
  • Prepare for Non-Technical Collaboration: The simplification of coding through AI will empower non-technical individuals to build software. Engineers should be ready to collaborate in new ways, acting as expert reviewers and architects for projects built by a wider range of creators.