Radar> Topics

AI & ML

Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).

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Enlightenment

By Mike Loukides | October 14, 2025

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The Architect’s Dilemma

By Heiko Hotz | October 13, 2025

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Everyday AI Agents

By David Michelson | October 10, 2025

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Control Codegen Spend

By Tim O'Brien | October 9, 2025

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The AI Teaching Toolkit: Practical Guidance for Teams

By Andrew Stellman | October 8, 2025

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Mapping the Design Space of AI Coding Assistants

By Sam Lau, Philip Guo | October 6, 2025

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The Cognitive Shortcut Paradox

By Andrew Stellman | October 1, 2025

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The Java Developer’s Dilemma: Part 1

By Markus Eisele | September 30, 2025

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Flow State to Free Fall: An AI Coding Cautionary Tale

By Sreeram Venkatasubramanian | September 29, 2025

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Why AI Efficiency May Be Making Your Organization More Fragile

By Brinda Sarathy, Rajeshwari Ganesan | September 25, 2025

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Trust but Verify

By Andrew Stellman | September 24, 2025

podcast

Generative AI in the Real World: Faye Zhang on Using AI to Improve Discovery

By Ben Lorica, Faye Zhang | September 18, 2025
Generative AI in the Real World: Faye Zhang on Using AI to Improve Discovery
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Prompt Engineering Is Requirements Engineering

By Andrew Stellman | September 17, 2025

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MCP in Practice

By Ilan Strauss, Sruly Rosenblat, Isobel Moure, Tim O’Reilly | September 16, 2025

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When AI Writes Code, Who Secures It?

By Chloé Messdaghi | September 15, 2025

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Taming Chaos with Antifragile GenAI Architecture

By Shreshta Shyamsundar | September 11, 2025