AI Agents Target 60%-70% of Developer Work as Coding Bottleneck Shifts to Production
Updated
Updated · InfoWorld · Jul 15
AI Agents Target 60%-70% of Developer Work as Coding Bottleneck Shifts to Production
3 articles · Updated · InfoWorld · Jul 15
Summary
AI agents are emerging as the next tool for production troubleshooting, as agentic coding makes code generation fast enough that maintenance and support now dominate developers’ workload.
60% to 70% of a developer’s job could be the next target for automation, with post-coding work such as reading logs, reproducing failures and tracing complex settings becoming the new choke point.
Production incidents are a strong fit for agents because they can process thousands of log entries in seconds or minutes and keep far more context than human engineers.
Resolve AI CEO Spiros Xanthos said purpose-built AI can take on more of the cognitive load of production work, freeing developers to spend more time improving systems.
The shift suggests software teams will increasingly apply AI beyond writing code, focusing on the harder, less bounded problem of diagnosing and fixing live-system failures.