Record of experiments, readings, links, videos and other things that I find on the long road.
Registro de experimentos, lecturas, links, vídeos y otras cosas que voy encontrando en el largo camino.
Showing posts with label AI. Show all posts
Showing posts with label AI. Show all posts
Sunday, September 7, 2025
Interesting Interview: Measuring the impact of AI on software engineering
I've just watched this interesting interview with Laura Tacho on The Pragmatic Engineer channel
Saturday, September 6, 2025
Interesting Talk: AI-Driven Code Refactoring: Improving Legacy Codebases Automatically
I've just watched this interesting talk by Jorrik Klijnsma
Tuesday, September 2, 2025
Interesting Talk: Vibe Coding Is The WORST IDEA Of 2025
I've recently watched this great talk by Dave Farley
Friday, August 29, 2025
The Productivity Trap: Perils and Promises of AI Coding
I've just watched this great talk by Adam Tornhill
Interesting Talk: Vibes won't cut it
I've just watched this great talk by Chris Kelly
Interesting Conversation: Beyond the Hype: Real Talk on AI-Assisted Development
I've recently watched this interesting conversation between Jessica Kerr
and Diana Montalion:
Interesting Conversation: Will AI Code Create MOUNTAINS Of Technical Debt?
I've recently watched this interesting conversation between Steve Smith
and Trisha Gee:
Monday, August 25, 2025
Interesting Talk: Closing the Knowledge Gap in Your Legacy Code with AI
I've just watched this great talk by Omer Rosenbaum
Interesting Talk: Exploring a complex codebase with AI
I've just watched this great talk by Jesus Espino
Tuesday, August 5, 2025
Interesting Talk: "Does AI Actually Boost Developer Productivity? (100k Devs Study)"
I've just watched this great talk by Yegor Denisov-Blanch
What I like about this one is that it's not from an AI company. At least there's less conflict of interest to begin with.
Interesting things:
What I like about this one is that it's not from an AI company. At least there's less conflict of interest to begin with.
Interesting things:
- The sample is quite large and they are companies with large codebases, not startups making MVPs.
- They take into account the delivered functionality, not just more commits.
- They take into account rework.
- They take into account the complexity of the tasks.
- They take into account the popularity of the language you use.
- They take into account whether you're working in a legacy code base or not.
Wednesday, July 29, 2020
Interesting Talk: "Deep Thinking"
I've just watched this great talk by Garry Kasparov
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