Technical debt

The AI-Native Startup Playbook (Ep. 1008 with Jon Krohn)

The AI-Native Startup Playbook (Ep. 1008 with Jon Krohn)

Anthropic's Founder's Playbook redefines startup building in the AI era, emphasizing that AI has removed traditional bottlenecks, making execution cheap and judgment the scarce resource. The playbook outlines four stages—Idea, MVP, Launch, and Scale—providing practical guidance on sharpening problem statements, using AI as a devil's advocate, combating agentic technical debt, achieving true product-market fit, and building defensible moats against incumbents. The overarching message: prioritize strategic sense-making over effortless building.

What Is AI Code Refactoring? Agentic AI & Safe Code Changes

What Is AI Code Refactoring? Agentic AI & Safe Code Changes

This video explores AI code refactoring, differentiating between inline and autonomous agentic approaches. It highlights how AI can leverage pattern recognition for tasks like improving readability or reducing duplication, thereby addressing technical debt. A key focus is on the safety guardrails, detailing a multi-step, human-in-the-loop process involving planning, searching, reporting, human approval, patching, and verification through testing, ensuring AI-driven changes are safe for production and can integrate into CI/CD pipelines.

What Is AI Code Review? Fixing Slow PRs & Broken Workflows with AI

What Is AI Code Review? Fixing Slow PRs & Broken Workflows with AI

Anna Gutowska explains how AI code review enhances software development by addressing the slowness and inconsistency of traditional methods. The video delves into the benefits of AI in accelerating reviews, improving code quality, fostering developer learning, and reducing technical debt. It covers the underlying technologies like static/dynamic analysis and LLMs, discusses critical considerations such as over-reliance and context, and provides best practices for integrating AI while emphasizing the indispensable role of human oversight.

Growing & Thriving in a Multi-model World • Alberto Brandolini • GOTO 2025

Growing & Thriving in a Multi-model World • Alberto Brandolini • GOTO 2025

Alberto Brandolini delivers a compelling talk on how to combat software model decay and avoid the "Big Ball of Mud" by strategically applying Domain-Driven Design principles, especially Bounded Contexts. He emphasizes the critical role of visual thinking, structured architectural discussions, and organizational habits in maintaining clean, evolvable systems, particularly when scaling across teams and international markets. The talk highlights the need for continuous design effort, disciplined decision-making, and proactive identification of model boundaries to build resilient software in complex socio-technical landscapes.

Developer Experience in the Age of AI Coding Agents – Max Kanat Alexander, Capitol One

Developer Experience in the Age of AI Coding Agents – Max Kanat Alexander, Capitol One

Max Kanat-Alexander explores the rapid changes in software engineering driven by AI and identifies 'no-regrets investments' that will benefit development teams regardless of the future. He argues that by focusing on foundational developer experience principles—such as standardizing tools, improving validation, structuring code for testability, and refining the code review process—organizations can create a virtuous cycle of productivity for both human developers and their AI agent counterparts.

The GPU Uptime Battle

The GPU Uptime Battle

Andy Pernsteiner, Field CTO of VAST Data, discusses the immense challenges of transitioning AI projects from prototype to production. He highlights the critical role of data infrastructure, the high cost of GPU downtime, and the necessity of building resilient, scalable platforms that can withstand real-world failures like power outages in massive data centers. The conversation emphasizes a shift in mindset towards empathy, better requirement gathering, and closer collaboration between data scientists and platform engineers to bridge the gap between development and operations.