In an InfoQ podcast, engineer Hugo Venturini argues that AI doesn't create a new accountability problem in code: it exposes one that already existed, and it's up to team culture to solve it.
The Indian streaming platform tested six search approaches for AI agents on large codebases. The conclusion: the right choice depends on the type of task, and stacking retrieval doesn't always reduce tokens or improve accuracy.
The daily highlights from each of the 4 sections from iMasters
Produtividade com IA
A fadiga de IA não vem da IA. Vem de você não ter mudado onde gasta tempo. O ganho de eficiência na entrega deveria ter sido reinvestido em planejamento. A IA não te deu capacidade de fazer mais - te deu obrigação de pensar melhor. - diegoeis.com/a-ia-te-econom…
Diego Eis@diegoeis · · 3 likesView on XSoftware engineering end to end: languages, data, infra, and security, with AI wherever it enters the work of people who write code. Always with code and examples, never just the news.
Growth, marketing data, and campaigns broken down: what the most creative brands do, what works, and what's missing.
What's strictly AI: models and their updates, AI-specific tutorials, running models locally, agents, and model evaluation. Always with a test and an example.
