“Conviction Collapse” and the End of Software as We Know It

2026-04-01 · Source: AI & ML – Radar · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Project & Product Management · Depth: Intermediate, long

Summary

Harper Reed, cofounder of Threadless and former engineering lead for the Obama 2012 campaign, describes a phenomenon he calls "conviction collapse" in the current AI-driven software development landscape. He notes that the rapid pace of AI innovation means product development cycles have compressed from nine months to mere days, making it difficult for teams to build and defend conviction around a single product. Reed's company, 2389 Research, now operates more like an art studio, embracing "max creativity" and "max optionality" to allow products to emerge organically. This approach views software not as a fixed product but as a dynamic set of possibilities, akin to art or literature, where the focus shifts from building a singular product to cultivating an environment for emergent "skills" and processes. He highlights the importance of play and serendipity in fostering human creativity amidst the drive for capital efficiency.

Key takeaway

For entrepreneurs navigating the accelerated AI product landscape, recognize that traditional product development cycles are obsolete. Instead of rigidly defining a product, focus on creating an environment that fosters emergent "skills" and dynamic processes. Your ability to embrace serendipity and cultivate a culture of continuous iteration and experimentation will be crucial for discovering viable solutions in this rapidly shifting technological substrate.

Key insights

Rapid AI development causes "conviction collapse," shifting software from fixed products to emergent, dynamic processes.

Principles

• Software products are now dynamic processes, not fixed things.
• Embrace max creativity and optionality in product development.
• Biases can enhance team effectiveness in agentic systems.

Method

Cultivate an "art studio" environment with high tech, robots, and diverse perspectives. Extract skills from existing work practices and experiment with agent social interactions to foster emergent solutions.

In practice

• Develop agent personas with varied biases for code review.
• Extract skills from internal knowledge corpora for new products.
• Experiment with agent-based social platforms for emergent behaviors.

Topics

• Conviction Collapse
• Software Product Evolution
• AI Agent Development
• Creative Software Engineering
• 2389 Research

Code references

• obra/superpowers

Best for: Entrepreneur, Creative Technologist, AI Product Manager, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI & ML – Radar.