SE Radio 693: Mark Williamson on AI-Assisted Debugging

Software Engineering Radio - the podcast for professional software developers

Contenuto fornito da SE Radio Team and [email protected] (SE-Radio Team). Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da SE Radio Team and [email protected] (SE-Radio Team) o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

1M ago 54:12

MP3•Pagina principale dell'episodio

Mark Williamson, CTO of Undo, joins host Priyanka Raghavan to discuss AI-assisted debugging. The conversation is structured around three main objectives:

understanding how AI can serve as a debugging assistant;
examining AI-powered debugging tools;
exploring whether AI debuggers can independently find and fix bugs.

Mark highlights how AI can support debugging with its ability to analyze vast amounts of data, narrow down issues, and even generate tests. From there, the discussion turns to AI debugging tools, with a particular look at ChatDBG's strengths and limitations, with a peek at time travel debugging. In the final segment, they consider several real-world scenarios and evaluate the feasibility and practicality of AI acting autonomously in debugging.

Brought to you by IEEE Computer Society and IEEE Software magazine.

1058 episodi