Startup culture

Replit CEO Amjad Masad on What Young People Should Learn in the AI Era

Replit CEO Amjad Masad on What Young People Should Learn in the AI Era

Replit founder Amjad Masad and HAA co-founder Gagan Biyani discuss the future of education in the AI era. They argue for fostering young people's natural inclination to question norms, advocating for project-based, curiosity-driven learning over traditional, prescriptive models. The conversation also explores the pitfalls of premature startup professionalization, the evolving nature of work with AI, and the critical importance of trust, discernment, and personal development in tech's high-stakes environment.

Why Education Has to Change

Why Education Has to Change

Ben Horowitz, Erik Torenberg, and Gagan Biyani introduce the Horowitz Andreessen Academy, a new educational model designed for the AI era. They argue that traditional education is ill-suited for a rapidly changing world, advocating for a project-based, "learn by doing" approach. The academy aims to cultivate "main character" builders through immersion in Silicon Valley's culture, strong peer networks, and direct engagement with real-world problems and companies, emphasizing the critical role of people skills and the value of learning from failure in an age where AI empowers unprecedented creation.

How we built Grok Bot in a month | Roman Ugarte (SpaceXAI)

How we built Grok Bot in a month | Roman Ugarte (SpaceXAI)

Roman Ugarte, a key figure behind Grok Bot, shares insights into its rapid development, emphasizing the strategic choice to build it as a separate, cloud-first product with bots having their own dedicated 'computers.' The discussion highlights a "colleague-pilled" product philosophy focused on full delegation and constant reinvention, enabling the creation of autonomous AI teammates for both work and personal life.

Inside the Team That Killed Mandatory Code Review — Quinn Slack, AMP

Inside the Team That Killed Mandatory Code Review — Quinn Slack, AMP

Quinn from AMP discusses a paradigm shift towards cloud-native AI agents and remote development, advocating for the end of local development and traditional code review. He details how AMP's 'Orbs' enable parallel, secure, and remote execution, and how agents are transforming internal tools ('jellyware'), diminishing the role of GitHub and traditional CI/CD, and fostering a lean, high-trust company structure.

This CPO regrets that product management exists | Tom Verrilli (CPO of Whatnot)

This CPO regrets that product management exists | Tom Verrilli (CPO of Whatnot)

Tom Verrilli, CPO at Whatnot, discusses his controversial stance that "we regret product management exists," advocating for a leaner, more hands-on PM approach. He delves into how Whatnot structures its product team, its rigorous hiring process focused on deep systems thinking and IC work, and the transformative impact of AI on product and data science functions. Verrilli also shares mental models for balancing strategy and iteration, navigating the CPO-founder relationship, and key lessons from his time at Twitter, emphasizing the importance of core PM skills in an AI-driven world.

Why the tech workforce is quietly splitting in two | Annual AI sentiment survey (Noam Segal)

Why the tech workforce is quietly splitting in two | Annual AI sentiment survey (Noam Segal)

Noam Segal and Lenny Rachitsky's second annual Tech Worker Sentiment Survey reveals a striking bifurcation in the tech workforce: 50% feel energized and amplified by AI, while the other half feels redefined, destabilized, or diminished. Burnout is surging (up 11 points in a year) and optimism is declining, even as 97% believe AI makes them 'better' (often meaning faster, not higher quality, leading to 'cognitive rot'). The #1 fear isn't job loss to AI, but being squeezed to do more for the same pay. Nobody would recommend their job to someone entering the industry today, with designers and researchers being the most negative. Managers are identified as the single biggest lever for employee well-being, yet most are rated ineffective. The industry is described as 'chaotic,' with advice for employees to go deep on AI, manage the 'squeeze,' and invest in manager relationships, while leaders are urged to invest in managers, manage expectations, and support early talent and struggling roles.