Software Tomorrow

on YouTube ↗42m

" summary

Built a web series from ~100 hours filmed and 60 hours of interviews with 28 engineering leaders at eight companies and extracts five concrete fixes: invest in specs, reduce tool sprawl, design for decoupling, codify knowledge sharing, and run continuous feedback. Claims an agentic stack (LLM + tools, memory, planning) already boosts code-task performance on HumanEval-style problems so developers shift toward specifying and guiding AI agents while keeping final ownership and last-mile fixes.

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" chapters (15)

1. 0:00🚀 Introduction: Jonathan Harel discusses his background and the future of software
2. 3:00The story of building a web series on software development and AI
3. 7:00Exploring the frustrations in software development and how AI can help
4. 11:00The metaphor of bicycles: How software development is like riding a fixie bike
5. 13:20Dan's idea to rewrite code from scratch and the decision-making process
6. 17:00Code as an organic entity: Why software requires constant maintenance and care
7. 20:11The balance between building new features and maintaining old code
8. 23:14Lessons learned from producing the web series and interviews with R&D leaders
9. 25:50The importance of specifications in software development
10. 28:30Tooling paradox: The challenges of too many tools in the development process
11. 32:56The need for decoupling in software architecture
12. 36:10Predictions for the future of software development and new skills for developers
13. 37:50Shifting developer roles: From coding to problem-solving and guidance
14. 38:20The future of IDEs and the evolution of developer tools with AI
15. 40:17AI's impact on the software development lifecycle: Planning, testing, coding, and deployment

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