Feeling Behind With AI? Don't Panic, You Are Not Alone - with Ash Gawthorp
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast
-
Narrado por:
-
De:
Summary
In this episode of the Quality Talks podcast, host Stu Day and guest Ash Gawthorp discuss the rapid changes in the tech industry driven by AI advancements.
They explore the implications of Andrej Karpathy's tweet expressing feelings of inadequacy among programmers, the evolving nature of software development, and the critical role of testing in ensuring quality in AI-driven systems.
The conversation emphasises the importance of human oversight, the need for explicit verification, and the evolving dynamics between developers and testers in a landscape where AI is increasingly taking on coding tasks.
Key insights highlight the value of existing software testing skills in navigating this new environment and the necessity of adapting to maintain confidence in software outputs.
Useful Links:
Ten10 Website:
https://ten10.com/
Ash Gawthorp's Article:
https://ten10.com/blog/why-software-testing-just-became-the-most-important-skill-in-technology/
Andrej Kaparthy's Tweet: https://x.com/karpathy/status/2004607146781278521
Boris Cherny Tweet:
https://x.com/bcherny/status/2004887829252317325
Takeaways
- Many in tech feel overwhelmed by rapid AI advancements.
- Andrej Karpathy's tweet resonated with many programmers.
- The pace of change in software development is unprecedented.
- Testing is crucial in AI-driven development environments.
- Human oversight is essential in AI applications.
- Testers have a unique skill set that is increasingly valuable.
- Observability and testability are paramount in AI systems.
- The role of the verifier is becoming more important than the builder.
- Imposter syndrome is common among experienced professionals.
- Continuous quality is vital in software development.
Chapters
00:00 Introduction to the Tech Landscape in 2026
02:50 The Impact of AI on Software Development
06:14 The Shift in Software Development Workflows
10:22 The Non-Deterministic Nature of AI
11:33 Building Confidence in AI Outputs
15:34 The Role of Testing in AI Development
17:27 The Importance of Skepticism in Testing
21:25 Prompt Engineering and Its Challenges
22:52 Verification and Observability in AI Systems
28:05 Human Oversight in AI Development
31:45 The Evolving Role of Testers
37:06 The Future of Software Development and Testing
43:59 Key Takeaways and Closing Thoughts
49:52 Close