Coding Agents Fall Short for Enterprise Integration, Digibee Warns

Integration platform company Digibee, which itself uses Claude Code internally, argues that AI coding agents are poorly suited for enterprise integration work despite their usefulness in greenfield development. The firm identifies three core limitations: agents rebuild logic from scratch on every run, generate raw code without the surrounding infrastructure such as retry logic and audit trails, and leave no structured documentation when the original developer moves on. These gaps become critical when integrations must be recurring, reliable, and maintained across large organizations with systems like SAP or Salesforce. While AI skills and knowledge layers can improve agent outputs at the margins, they cannot detect runtime failures or adapt to evolving API behavior. The broader takeaway is that productivity gains from coding agents in new projects do not automatically transfer to production environments that demand operational continuity and governed credentials.