More The AI Native Dev episodes
Published 13 Jan 2026
Duration: 4355
An AI-focused podcast discusses the evolving dynamics of AI development, shifting from knowledge-based systems to intelligence-driven approaches, with a focus on AI agents enhancing productivity through context management.
In this special milestone episode, Simon Maple and Guy Podjarny celebrate 1 million views by looking back at the chaos of 2025 and forecasting the hig...
The podcast examines the progression of AI development, highlighting a transition from knowledge-focused strategies to intelligence-driven methodologies. It emphasizes the growing significance of AI agents in boosting productivity by effectively managing context, enabling them to perform complex tasks through structured information and automation. The discussion forecasts that by 2026, open AI models will be deeply integrated into everyday workflows, with agent-based systems becoming more prevalent. The shift from traditional prompt engineering to context-driven AI interactions is explored, alongside challenges in developing reliable agent behaviors and evaluating their performance. Managing knowledge to direct AI performance remains a critical factor in this evolution. Industry trends also come into focus, including the adoption of platforms like Slack in development processes, the expansion of solo-founder startups, and rising competition in AI models and tools. Looking ahead, the podcast notes advancements in AI agents in 2025 and anticipates a focus in 2026 on optimizing agent use, assessing return on investment, and refining context management to enhance AI effectiveness.
16 Sept 2026 AWS's Marc Brooker: Specs, Not Code, Are the Hard Part
"Explores how AI and automation are transforming on-call engineering, with AWS's agentic AI tools handling routine tasks while human expertise remains vital for complex issues, emphasizing the need for mentorship and ethical AI development."
25 Aug 2026 Lada Kesseler: I Trust AI Tests Less Than AI Code
"AI in software development thrives through iterative refinement, focused tasks, and human oversight, enabling agentic workflows while addressing challenges like quality, validation, and skill overlap."
11 Aug 2026 The Background Check You Can't Run on an AI Agent
"Explores AI agent identity and security challenges, emphasizing alignment with creator intent, probabilistic unpredictability, and the need for dynamic, task-based authorization and scalable trust mechanisms."
4 Aug 2026 Datadog Deleted All Its AI Context. It Worked.
"Explores AI tooling and context optimization, highlighting inefficiencies from outdated context, Datadog's AI adoption, and strategies for improving developer workflows, productivity metrics, and cost management."
28 Jul 2026 Inside the Dark Factory: AI That Ships Code Solo
"Explores AI-driven 'dark factories' automating PRs, Tessl's software factories, and challenges like code quality, trust, and cultural shifts in AI-native development."