Coding agents are moving beyond vibe coding toward real-world, enterprise software engineering. Attention is shifting from frontend demos and isolated bug fixes to refactoring large codebases, improving the efficiency of complex systems, and handling long-horizon tasks. What people actually want is AI that can work continuously and reliably, delivering real productivity gains in the digital world. The hardest challenge is no longer writing code, but earning the trust of test engineers and addressing developers’ concerns about long-term maintenance. A new Turing test is emerging.
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Coding agents in enterprise software engineering works because most of these orgs (hopefully) have developer best practices (QA, code reviews, versioning, etc). Providing structure to the coding agents

Dec 14, 2025 · 2:24 PM UTC

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Saeed Anwar
@saen_dev
Feb 6
Exactly. Structure enables AI. QA, code reviews, versioning aren't optional extras - they're what make AI coding work at scale. Without that infrastructure, AI agents just generate chaotic code faster. The discipline creates the safety net.
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I know…wishful thinking at scale LOL but compared to vibe coding, I still think my comment holds some truth ;)
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