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Explores the idea that AI's true impact is not replacing jobs but scaling expertise by removing bottlenecks, citing tools like Perplexity, GitHub Copilot, and Rilla.
A developer observes that the biggest challenge in building agent workflows has shifted from models and prompts to maintaining context, business rules, and external data synchronization, and asks the community about their primary bottleneck.
The article argues that while many are building and selling AI agents, the real value lies in the workflows and training that make them useful, not the underlying technology.
The author argues that AI will not necessarily accelerate processes because bottlenecks often originate from unclear requirements upstream, not from development speed alone.
Andrew Ng discusses how AI-native software engineering teams face new bottlenecks (product management, marketing, legal) as coding speeds up, and advocates for engineers and PMs to develop cross-functional skills.
A reflective blog post on how AI acceleration in code generation overwhelms review processes, creating a new bottleneck in software engineering. Draws parallels to historical industrial bottlenecks and suggests throttling input as a necessary response.