Subvolts take AI agents are reshaping software development, creating new tools and economic models for engineers. Oct 10, 2025 - Developers
- Learn how AI agents will fundamentally change your coding workflow, tools, and team economics.
- Business
- Understand where AI is creating immediate ROI in software development, particularly for modernizing legacy systems.
This episode offers a deep dive into the future of software development with AI, featuring insights from venture capitalists.
The Trillion Dollar AI Software Development Stack
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
AI+a16z hosts Yoko Li and Guido Appenzeller discuss the trillion-dollar AI software development market. They explore how "agents with environments" are transforming the development loop, the need for new abstractions in code management, and where return on investment is appearing first, such as in legacy code migration. The episode also covers token economics for engineering teams and the emerging agent toolbox.
AI is changing how software is built using "agents" that act like automated teammates. These agents help with tasks like updating old code, potentially saving companies a lot of money and time.
This episode is for software developers and engineering leaders interested in the future of coding. It explains how AI agents are becoming users, not just tools, and how this shift impacts the entire software development lifecycle. Listeners will learn about new abstractions for code management, the economics of using AI in engineering teams, and practical applications like legacy code modernization. This discussion is highly relevant as major AI labs like Google Gemini and OpenAI are heavily investing in AI-powered developer tools and coding assistants.
- Hosta16z
- GuestYoko LiInfra Partner, a16z
- GuestGuido AppenzellerInfra Partner, a16z
- Episode Title: The Trillion Dollar AI Software Development Stack
- Show: AI + a16z
- Length: 38 minutes
- Key Concept: Agents with environments are changing the dev loop
- First ROI Area: Legacy code migration
AI coding has emerged as a major market for AI: one that’s already rewriting how software gets built.
a16z Infra Partners Yoko Li and Guido Appenzeller break down how “agents with environments” are changing the dev loop; why repos and PRs may need new abstractions; and where ROI is showing up first (like legacy code migration). We also cover token economics for engineering teams, the emerging agent toolbox (sandboxes, code search/parsing, agent-optimized docs, orchestration), and founder opportunities when you treat agents as users, not just tools.
Read the blog post here.
Find Yoko here: https://x.com/stuffyokodraws
Find Guido here: https://x.com/appenz
Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.
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- Agents with environments
- Yoko Li and Guido Appenzeller
- AI programs that can interact with and operate within a simulated or real software development setting.
- Dev loop
- Yoko Li and Guido Appenzeller
- The cycle of writing, testing, and deploying code.
- Repos and PRs
- Yoko Li and Guido Appenzeller
- Repositories (where code is stored) and Pull Requests (proposals to merge code changes).
- Token economics
- Yoko Li and Guido Appenzeller
- How the cost and value of using AI models (measured in tokens) affect engineering team budgets and productivity.
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Questions people ask
- How are AI agents changing software development?
- Agents with environments are rewriting the development loop, impacting how software is built and managed.
- Where is AI showing the first return on investment in software development?
- ROI is appearing first in areas like legacy code migration, where AI can automate complex updates.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to a16z.