A developer shares their experience with agentic coding fatigue, arguing that AI-generated code disrupts the natural problem-solving rhythm of traditional programming. The author describes how LLMs produce overwhelming amounts of code that developers must debug without proper context, creating cognitive fatigue and reducing deep intellectual engagement. While acknowledging the productivity benefits, they warn about the illusion of infinite scale and the inability to fully trust AI systems in edge cases.
Background
Agentic coding refers to using AI systems like LLMs to generate code autonomously, which has become increasingly common in software development. This represents a significant shift from traditional manual coding practices that developers have used for decades.
- Source
- Lobsters
- Published
- May 3, 2026 at 12:34 AM
- Score
- 6.0 / 10