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In a podcast, Andrew Ambrosino, Product Lead for OpenAI Codex, reflects on AI organizational reform, emphasizing that PRDs and the product manager role remain important, design processes are not dead but need to adapt to the AI era, and notes that faster tools come with higher judgment costs.
Lenny Rachitsky shares key takeaways from OpenAI's Codex lead Andrew Ambrosino on how AI is inverting product work, redefining roles, and the challenges of AI in design. The thread covers lessons from Codex's development and the importance of building for current model capabilities.
Anthropic's Claude Code has tripled engineering output, shifting bottlenecks from coding to product decisions, forcing companies to hire more product thinkers rather than more engineers.
The article argues that when implementing approval checkpoints, making them required but flexible in formality is more effective than making them optional but formal. This approach reduces risk for decision-makers and allows teams to move quickly while reserving deeper scrutiny for complex projects.
Introducing Codex's product-design plugin, an AI design assistant that helps designers and product managers quickly convert requirements into working prototypes. It supports multi-directional exploration, Figma collaboration, and prototype publishing, accelerating the early stages of product design.
AI synthesis tools have made it impossible for product managers to fake having read customer calls, exposing those who were not engaging with customer feedback and changing hiring practices.
Argues that the key skill for product managers in the AI era is loop engineering, not prompt engineering. Describes how to create reusable, self-improving loops for AI agents to maintain quality and avoid drift.
Samepage Signals is pitched as a second brain for product management, launched on Product Hunt.
Hiten Shah reflects on how AI is transforming GitHub from a repository of evidence into an environment where non-coders can apply product judgment directly to software workflows, bridging the gap between customer understanding and code.
An AI tool that will soon be open-source, using DeepSeek to automatically fetch AppStore user reviews and perform information mining, helping product managers understand user feedback, version issues, and product opportunities.
A collection of 68 open-source agent skills derived from product management frameworks, compatible with Claude Code, Codex, Hermes Agent, and OpenClaw.
Ajey Gore explores how AI is reshaping tech roles by automating translation-like tasks while amplifying judgement work, offering a role-by-role breakdown of what changes and what grows.
A product manager at a Series B company recounts cancelling most AI subscriptions after realizing many tools merely wrap foundation models like ChatGPT and Claude, keeping only ChatGPT and Cursor as essential tools.
A product manager without ML background adapts wikiLLM to create an 'agent-as-developer' that generates its own context from surprises and promotes repeated patterns to validated rules, reducing mandatory context by ~80% and preventing repetition of resolved issues.
X product lead Nikita Bier says he spends 30% of his time on EU compliance, sparking discussion about EU regulations stifling innovation.
This article discusses the concept of AI-First organizational structure, transforming AI from a supporting tool to a productivity leader, redesigning company processes, and introducing new ideas such as Harness Engineering and Agent Economy.
Cleo is an AI-powered product manager designed to help run your team efficiently.
Rezonant is a platform that helps teams talk, spec, and ship product ideas into production.
Based on Yao Shunyu's analysis, the article contends that AI will prioritize transforming tasks that have clear feedback loops and quick validation, rather than by job prestige. Programmers are the first to be impacted because of the comprehensive testing and feedback mechanisms inherent in code development. Although a product manager's core decision-making is hard to train, their peripheral execution layers are also headed for disruption.
Ars Technica interviews Anthropic's Cat Wu, head of product for Claude Code, about the product's rapid growth, compute constraints, and the company's iterative, model-driven development strategy without a long-term roadmap.