DEVOURED
The loop closes
Autonomous agents are increasingly handling the full software development lifecycle, leaving humans to act primarily as final reviewers of automated output.
What: AI models are moving toward end-to-end feature implementation based on simple chat requests, requiring human intervention only at the final deployment stage.
Why it matters: This suggests that the developer role is shifting from manual coding to higher-level orchestration, where the bottleneck is no longer code production but rather context management and architectural decision-making.
Original article
AI models are now capable of taking a request from Slack and then building a feature from end-to-end, with humans just having to click 'merge' or 'deploy' at the end. There's not really much left for humans to do. Humans are still better at absorbing, parsing, and sharing context with each other. However, once that can be automated, the loop will finally be closed, and there will be nothing left to do but to pay the bill.
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