Developers Embrace LLMs For Code Generation

In a first-person essay reflecting on 2025, a software engineer says they now rely on Claude Code for about 90% of their code, after a threshold of improvements made LLMs practical. They describe agents finding bugs, running benchmarks, and iterating fixes, arguing engineers should experiment with agent workflows and re-skill for AI-assisted development.
Scoring Rationale
Firsthand, practical report shows meaningful LLM adoption; limited by anecdotal evidence, single-author perspective, and lacking broad metrics.
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