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The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO)

Lenny Rachitsky

“What comes after code”: Michael envisions a future where programming shifts from traditional code to natural language or pseudocode, making software development accessible to non-coders while retaining precision for professionals.

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The AI Fueled Product Manager – The Best Version of You

Product Management University

The pace of product management has accelerated exponentially in recent years because of agile development and the relentless focus on metrics. Agile is a great software development methodology but it has consumed product managers to the point where they have almost no capacity to do product management. Here’s the honest truth.

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Behind the product: Replit | Amjad Masad (co-founder and CEO)

Lenny Rachitsky

Additionally, he played a key role as a founding engineer at the online coding school Codecademy. In six months, the value of even minimal coding knowledge doubles—so stay on top of AI-native tools that complement your creativity and productivity, especially if you’re focused on product development.

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Software Bugs Are Expensive: How Session Replays Help You Spot and Fix Them Fast

Userpilot

Wasted time on bug reproduction and fixes The software development process is lengthy. If you're in an agile development environment, you must move quickly to build a stellar product. Unfortunately, 20% of software development teams report getting stuck during the debugging or software testing phase.

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A DevOps Guide for Product Managers

Speaker: Suzie Prince, Head of DevOps, Atlassian

At the same time they, and their engineering teams, are struggling to adapt to work in new all remote ways. Luckily, the culture of DevOps and the practice of Continuous Delivery supports product managers and their teams as modern software development evolves at a rapid pace.

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From Stacking Features to Shaping Value: A New Product Building Model

UX Planet

Photo by Ricardo Gomez Angel on Unsplash For decades, software development has mirrored the construction industry — a manpower-heavy model where effort, hierarchy, and sequencing define how value is created. It’s part of the core delivery engine. But that model is no longer working. Not for users. Not for businesses.

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Strategies to mitigate AI security and compliance risks

Modus Create

Effective strategies for mitigating AI security and compliance risks As organizations rapidly adopt AI technologies—especially large language models (LLMs) like those offered by AWS Bedrock —it's crucial to integrate security measures throughout the software development lifecycle (SDLC).