- How To Get The Most Out Of Vibe Coding | Startup School 🔗 talk notes (Tom Blomfield) [AI, Software Design, testing] [Duration: 00:16] A talk exploring best practices and practical tips for leveraging AI tools and Large Language Models (LLMs) to achieve great results in software development through the "vibe coding" approach.
- Stop Writing Code – That’s what LLMs are for 🔗 talk notes (Steve Yegge) [AI, Engineering Career, testing] [Duration: 00:29] (⭐⭐⭐⭐⭐) This talk by Steve Yegge exploring the inevitable transformation of software engineering due to AI and LLMs, detailing changing developer roles and the increasing importance of testing and validation
- Andrew Ng: Building Faster with AI 🔗 talk notes (Andrew Ng) [AI, Product, startup] [Duration: 00:43] (⭐⭐⭐⭐⭐) Andrew Ng's talk provides best practices for startups to achieve unprecedented execution speed by leveraging new AI technology for rapid engineering, product iteration, and strategic decision-making
- Vibe Coding For Grownups with Gene Kim 🔗 talk notes (Gene Kim) [AI, Architecture, Devops] [Duration: 00:37] Gene Kim discusses the transformative power and inherent dangers of AI-assisted "Vibe Coding", emphasizing the critical role of architecture and sound practices in achieving high performance and avoiding "vibe coding disasters"
- How custom GPTs can make you a better manager | Hilary Gridley (Head of Core Product at Whoop) 🔗 talk notes (Hilary Gridley) [AI, Management, leadership] [Duration: 00:36] This talk demonstrates how custom GPTs significantly leverage managers' time by scaling their expertise and providing consistent, automated feedback to their teams.
- AI prompt engineering in 2025: What works and what doesn’t 🔗 talk notes (Sander Schulhoff, Lenny Rachitsky) [AI, Generative AI, Product, Security] [Duration: 01:37] Sander Schulhoff, discusses tangible prompt engineering techniques (including few-shot prompting, decomposition, self-criticism, and additional information), distinguishes between conversational and product-focused prompt engineering, and delves into the critical and unsolvable problem of AI prompt injection and red teaming.
- How AI is changing software engineering at Shopify with Farhan Thawar 🔗 talk notes (Farhan Thawar, Gergely Orosz) [AI, Developer Productivity, Engineering Culture, Technology Strategy] [Duration: 00:47] (⭐⭐⭐⭐⭐) A deep dive into Shopify's AI-first transformation, emphasizing pervasive AI tool adoption, internal AI infrastructure, and cultural shifts empowering all employees to leverage AI.
- Gene Kim on developer experience and AI engineering 🔗 talk notes (Gene Kim) [AI, Developer Productivity, Devex, Generative AI] [Duration: 00:44] (⭐⭐⭐⭐⭐) Gene Kim explores how Developer Experience, Generative AI, and Platform Engineering serve as the next chapter in organizational transformation, fundamentally improving developer productivity and value creation.
- TDD, AI agents and coding with Kent Beck 🔗 talk notes (Kent Beck, Gergely Orosz) [AI, XP, tdd] [Duration: 01:15] Industry legend Kent Beck, creator of XP and TDD, shares insights on the evolution of Agile, Extreme Programming, and Test-Driven Development, alongside his current experience of "most fun ever" coding with AI agents.
- The Agent Native Company — Rick Blalock, Agentuity 🔗 talk notes (Rick Blalock) [AI, Company Culture, Management, Teams] [Duration: 00:20] This talk introduces the concept of agent native companies, where AI is fundamental to their operations, fundamentally reshaping culture, workflows, and team structures
- AI at Honeycomb: What’s Actually Working 🔗 talk notes (Charity Majors) [AI, Engineering Culture, Product] [Duration: 00:11] A talk with Honeycomb's CTO exploring AI's impact on engineering velocity and culture, the emergence of disposable software, and the future of product interfaces focused on production.
You can now explore all recommended talks and podcasts interactively on our new site:
- 🌐 Interactive Site: https://eferro.github.io/eferro-picks-site/
- 🏷️ Browse talks by topic
- 👤 Filter by speaker
- 🎤 Search by conference
- 📅 Navigate by year
Your feedback and suggestions are highly appreciated to help improve the site and content. Feel free to contribute or share your thoughts!
Related:
No comments:
Post a Comment