•1 min read•from InfoQ
Presentation: Engineering at AI Speed: Lessons from the First Agentically Accelerated Software Project
Our take
In "Engineering at AI Speed: Lessons from the First Agentically Accelerated Software Project," Adam Wolff explores the transformative impact of AI on the software development life cycle (SDLC). He highlights how AI shifts bottlenecks from implementation to critical architectural decision-making. Through three compelling "war stories," Wolff emphasizes the importance of dogfooding and rapid unshipping in this new landscape. As coding costs diminish, he argues that the speed of learning emerges as the primary competitive advantage, reshaping how we approach software development in an AI-driven world.
Adam Wolff discusses the evolution of Claude Code, explaining how AI shifts the SDLC bottleneck from implementation to architectural decision-making. He shares three "war stories" to show why dogfooding and rapid unshipping are vital. He explains that when coding costs drop to zero, the speed of learning becomes the only competitive advantage.
By Adam WolffRead on the original site
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#machine learning in spreadsheet applications#row zero#no-code spreadsheet solutions#digital transformation in spreadsheet software#rows.com#AI#SDLC#Claude Code#architectural decision-making#bottleneck#dogfooding#rapid unshipping#coding costs#competitive advantage#war stories#implementation#evolution#learning speed#software project#project acceleration