O TYM ODCINKU
In this podcast episode, Simon Maple and Peter Guagenti explore the evolution, current capabilities, and future potential of AI code assistants like Tabnine. Peter shares extensive experience and insights into how these tools have transitioned from code completion aids to comprehensive assistants throughout the Software Development Life Cycle (SDLC). The discussion also addresses common concerns among developers, such as job security and the accuracy of AI-generated code. Listeners will learn practical tips for leveraging AI tools effectively and hear predictions of AI in software development. Join us as we delve into this fascinating topic with an industry expert.
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W TYM ODCINKU
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WYSZUKAJ MINIONE ODCINKI
Wyszukaj minione odcinki The AI Native Dev - from Copilot today to AI Native Software Development tomorrow.
INNE ODCINKI W TYM PODCASCIE
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At Tessl, 95% of the code shipped by their internal "Dark Factory" has never been looked at by a human, and the team still ships hundreds of pull requests a week, including through entire weekends. Rob Willoughby, who leads AI engineering at Tessl, joins Simon to open up the hood on how i…
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The thing that makes an agent useful is the exact thing that makes it dangerous. Keycard co-founder Ian Livingstone breaks down why non-determinism is both the feature and the bug, and why identity, not model quality, is what really gates how much autonomy you can hand an agent. If you have ever cl…
One Snyk developer's AI skill quietly handed their coding agent production credentials, and the security team found out the hard way. Krzysztof Huszcza, who leads AI security incubation at Snyk, joins this special Tessl and Snyk live stream to unpack the ToxicSkills research that uncovered 76 …
Zastrzeżenie: Podcast i grafika osadzone na tej stronie pochodzą z Tessl, który jest własnością jego właściciela i nie jest powiązany ani wspierany przez Listen Notes, Inc.
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