Product development

May 02, 2026

Why cultivating agency matters more than cultivating skills in the AI era | Max Schoening (Notion)

Max Schoening, Head of Product at Notion, discusses how AI is reshaping software development. He argues that agency—the drive to effect change—is now more critical than specific skills, as AI makes the first 10% of any project 'free'. Schoening introduces his 'tiny core' theory for great products, debates the 'SaaSpocalypse', and emphasizes the growing importance of software quality and taste in an era of exploding software quantity.

Apr 21, 2026

Taste & Craft: A Conversation with Tuomas Artman, CTO Linear & Gergely Orosz, @pragmaticengineer

Tuomas Artman, Cofounder and CTO of Linear, discusses the paradoxical challenge AI introduces to software development. While AI agents accelerate shipping features, this speed can lead to a decline in software quality. He argues for prioritizing "tasteful," high-quality software as the ultimate competitive advantage and shares Linear's unique internal practices, such as the "Zero-Bug Policy" and "Quality Wednesdays," designed to cultivate a deep-seated culture of quality.

Nov 21, 2025

The Biggest Mistakes Companies Make With Manufacturing AI - Namwoo Kang | Deep Dive

Namwoo Kang, CEO of Narnia Labs, outlines why AI Transformation (AX) is now a survival necessity in manufacturing. He details a five-part strategy for successful AI adoption—focusing on problem definition, data, models, execution, and skills—and introduces AselanX, a no-code platform designed to empower domain experts to solve complex engineering problems without deep AI expertise.

Sep 07, 2025

How AI is reshaping the product role | Oji and Ezinne Udezue

A deep dive into how AI is transforming the product manager's role, featuring insights from product leaders Ezinne and Oji Udezue. They discuss essential new skills, the "shipyard" framework for development, why hands-on learning is critical, and the difference between companies succeeding and failing with AI adoption.

Aug 23, 2025

Five hard earned lessons about Evals — Ankur Goyal, Braintrust

Building successful AI applications requires a sophisticated engineering approach that goes beyond prompt engineering. This involves creating intentionally engineered evaluations (evals) that reflect user feedback, focusing on "context engineering" to optimize tool definitions and outputs, and maintaining a flexible, model-agnostic architecture to adapt to the rapidly evolving AI landscape.

Aug 06, 2025

How to look at your data — Jeff Huber (Choma) + Jason Liu (567)

A detailed summary of a talk by Jeff Huber (Chroma) and Jason Liu on systematically improving AI applications. The talk covers using fast, inexpensive evaluations for retrieval systems (inputs) and applying structured data analysis and clustering to conversational logs (outputs) to derive actionable product insights.