Iris ten Teije: The Pipeline is Dead

Iris ten Teije of Dffer argues the traditional software pipeline is dead, replaced by an agent-as-runtime model focused on adaptability and user-specific software.

Iris ten Teije speaking about software development and AI.
AI Engineer
Visual TL;DR
Traditional Pipeline DeadDriver
building software once and distributing it to everyone is over
From the articleIris ten Teije, a co-founder of Dffer, presents a compelling argument that the traditional software development pipeline is obsolete.
Inefficient & CostlyDriver
software development and distribution treated as separate, sequential processes
From the articleTen Teije elaborates on how the traditional model, where software is built in one environment and then distributed to users, is inefficient and costly.
AI & Computing AdvancementsDriver
enabling new paradigms in software creation and delivery
From the articleHowever, with advancements in AI and computing, this paradigm is shifting.
Agent-as-Runtime ModelCore
From the article 3 mentionsInstead, the future lies in a model where the agent itself is the runtime, capable of adapting to individual user needs and contexts.
Adaptable SoftwareEffect
personalized for each user, blurring development and distribution lines
From the article 9+ mentionsWhile AI has made code generation cheaper and more accessible, the real difficulties lie in ensuring that this generated software is correct, adaptable, and can be effectively coordinated and propagated across diverse user environments.
Shift in PhilosophyContext
moving from static distribution to dynamic, context-aware execution
From the articleThe core message is that the focus needs to shift from the 'easy 80%' of code generation to the 'hard 20%' of coordination, correctness, and propagation.
User-Specific SoftwareEffect
focus on adaptability and user-specific software needs
From the article 9+ mentionsBy embracing AI-driven adaptability and user-specific customization, software development can become more efficient, scalable, and ultimately, more desirable for everyone.
Contents(4)

Iris ten Teije, a co-founder of Dffer, presents a compelling argument that the traditional software development pipeline is obsolete. She contends that the era of building software once and distributing it to everyone is over. Instead, the future lies in a model where the agent itself is the runtime, capable of adapting to individual user needs and contexts.

Iris ten Teije: The Pipeline is Dead - AI Engineer
Iris ten Teije: The Pipeline is Dead, AI Engineer

The Shift from Pipeline to agent as runtime

Ten Teije elaborates on how the traditional model, where software is built in one environment and then distributed to users, is inefficient and costly. She highlights that for decades, software development and distribution were treated as separate, sequential processes. However, with advancements in AI and computing, this paradigm is shifting. The core idea is to create a single, adaptable artifact that can be personalized for each user, blurring the lines between development and distribution.

The 'Hard Parts' of Modern Software

She identifies the fundamental challenges in modern software development as shifting from mere generation to more complex aspects like coordination, correctness, and propagation. While AI has made code generation cheaper and more accessible, the real difficulties lie in ensuring that this generated software is correct, adaptable, and can be effectively coordinated and propagated across diverse user environments.

Ten Teije uses the analogy of AI agents to illustrate this point. She explains that AI agents can be built with a 'stem', a core, immutable artifact, and then modified with user-specific 'divergences'. This allows for a single, robust base that can be tailored to millions of unique user contexts without the need for separate builds for each user.

Addressing Objections: Scale and Trust

She addresses the common objection that managing a million different versions of software is impractical. Her response is that the challenge is not in generating these variations but in managing them. The solution, she proposes, lies in building systems where the core artifact is stable and immutable, while the user-specific adaptations are managed separately. This allows for efficient scaling and maintenance.

Ten Teije emphasizes that while the idea of AI-generated and highly adaptable software might seem daunting, it's a necessary evolution. The traditional model, where every user received the same software, is no longer sufficient in a world where user needs and contexts are highly diverse. The future is about personalization at scale, enabled by intelligent systems that can understand and adapt to individual requirements.

The Shift in Development Philosophy

She draws a parallel to the past, recalling arguments in 2008 about the necessity of build servers. At the time, it seemed complex and unnecessary to have dedicated infrastructure for building and distributing software. However, this became a standard practice. Similarly, she suggests that managing adaptable software artifacts will become the new norm, even if it seems challenging now.

The core message is that the focus needs to shift from the 'easy 80%' of code generation to the 'hard 20%' of coordination, correctness, and propagation. By embracing AI-driven adaptability and user-specific customization, software development can become more efficient, scalable, and ultimately, more desirable for everyone.

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Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.