In this episode of Gradient Dissent, Lukas Biewald sits down with Thomas Dohmke, CEO of GitHub, to talk about the future of software engineering in the age of AI. They discuss how GitHub Copilot was built, why agents are reshaping developer workflows, and what it takes to make tools that are not only powerful but also fun.

Thomas shares his experience leading GitHub through its $7.5B acquisition by Microsoft, the unexpected ways it accelerated innovation, and why developer happiness is crucial to productivity. They explore what still makes human engineers irreplaceable and how the next generation of developers might grow up coding alongside AI.

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In this episode of Gradient Dissent, Lukas Biewald talks with Martin Shkreli — the infamous "pharma bro" turned founder — about his path from hedge fund manager and pharma CEO to convicted felon and now software entrepreneur. Shkreli shares his side of the drug pricing controversy, reflects on his prison experience, and explains how he rebuilt his life and business after being "canceled."

They dive deep into AI and drug discovery, where Shkreli delivers a strong critique of mainstream approaches. He also talks about his latest venture in finance software, building Godel Terminal “a Vim for traders", and why he thinks the AI hype cycle is just beginning. It's a wide-ranging and candid conversation with one of the most controversial figures in tech and biotech.

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In this episode of Gradient Dissent, host Lukas Biewald talks with Sualeh Asif, the CPO and co-founder of Cursor, one of the fastest-growing and most loved AI-powered coding platforms. Sualeh shares the story behind Cursor’s creation, the technical and design decisions that set it apart, and how AI models are changing the way we build software. They dive deep into infrastructure challenges, the importance of speed and user experience, and how emerging trends in agents and reasoning models are reshaping the developer workflow.

Sualeh also discusses scaling AI inference to support hundreds of millions of requests per day, building trust through product quality, and his vision for how programming will evolve in the next few years.

⏳Timestamps:

00:00 How Cursor got started and why it took off

04:50 Switching from Vim to VS Code and the rise of CoPilot

08:10 Why Cursor won among competitors: product philosophy and execution

10:30 How user data and feedback loops drive Cursor’s improvements

12:20 Iterating on AI agents: what made Cursor hold back and wait

13:30 Competitive coding background: advantage or challenge?

16:30 Making coding fun again: latency, flow, and model choices

19:10 Building Cursor’s infrastructure: from GPUs to indexing billions of files

26:00 How Cursor prioritizes compute allocation for indexing

30:00 Running massive ML infrastructure: surprises and scaling lessons

34:50 Why Cursor chose DeepSeek models early

36:00 Where AI agents are heading next

40:07 Debugging and evaluating complex AI agents

42:00 How coding workflows will change over the next 2–3 years

46:20 Dream future projects: AI for reading codebases and papers

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