Yesterday I was experimenting with Claude for summarization and a script to generate PDFs from YAML files.
I used it to summarize an interview with Fabio Akita - software engineer, founder of Codeminer42, and one of the most technically grounded voices on AI in the Brazilian tech community.
Akita describes an experience with Claude after late 2025 that resonated with my own: tasks that used to require constant intervention started completing end-to-end with minimal correction after Opus 4.5.
The result is this 13-page article: "AI in 2026: The Inflection Point That Actually Happened."
It covers:
- What changed in AI coding tools in late 2025
- The amplification principle: why AI multiplies competence in both directions
- What the developer labor market correction actually means
- The infrastructure scaling ceiling - energy, compute, and diminishing returns
- China's chip constraints and the DeepSeek optimization story
- The Anthropic-Pentagon dispute: what is documented vs. what is speculation
- Why AGI hype is dying, and how that is not a problem
Akita's central argument, which I find credible: AI does not make you a better engineer. It makes you a faster version of the engineer you already are.
#AI #SoftwareEngineering #ArtificialIntelligence #Productivity