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Building an Immune System for AI Generated Software with Animesh Koratana - #746

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内容由TWIML and Sam Charrington提供。所有播客内容(包括剧集、图形和播客描述)均由 TWIML and Sam Charrington 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Today, we're joined by Animesh Koratana, founder and CEO of PlayerZero to discuss his team’s approach to making agentic and AI-assisted coding tools production-ready at scale. Animesh explains how rapid advances in AI-assisted coding have created an “asymmetry” where the speed of code output outpaces the maturity of processes for maintenance and support. We explore PlayerZero’s debugging and code verification platform, which uses code simulations to build a "memory bank" of past bugs and leverages an ensemble of LLMs and agents to proactively simulate and verify changes, predicting potential failures. Animesh also unpacks the underlying technology, including a semantic graph that analyzes code bases, ticketing systems, and telemetry to trace and reason through complex systems, test hypotheses, and apply reinforcement learning techniques to create an “immune system” for software. Finally, Animesh shares his perspective on the future of the software development lifecycle (SDLC), rethinking organizational workflows, and ensuring security as AI-driven tools continue to mature.

The complete show notes for this episode can be found at https://twimlai.com/go/746.

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777集单集

Artwork
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Manage episode 505415367 series 2355587
内容由TWIML and Sam Charrington提供。所有播客内容(包括剧集、图形和播客描述)均由 TWIML and Sam Charrington 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Today, we're joined by Animesh Koratana, founder and CEO of PlayerZero to discuss his team’s approach to making agentic and AI-assisted coding tools production-ready at scale. Animesh explains how rapid advances in AI-assisted coding have created an “asymmetry” where the speed of code output outpaces the maturity of processes for maintenance and support. We explore PlayerZero’s debugging and code verification platform, which uses code simulations to build a "memory bank" of past bugs and leverages an ensemble of LLMs and agents to proactively simulate and verify changes, predicting potential failures. Animesh also unpacks the underlying technology, including a semantic graph that analyzes code bases, ticketing systems, and telemetry to trace and reason through complex systems, test hypotheses, and apply reinforcement learning techniques to create an “immune system” for software. Finally, Animesh shares his perspective on the future of the software development lifecycle (SDLC), rethinking organizational workflows, and ensuring security as AI-driven tools continue to mature.

The complete show notes for this episode can be found at https://twimlai.com/go/746.

  continue reading

777集单集

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