"Devops teams have a love-hate relationship with writing and consuming technical documentation. Developers loathe reading and maintaining undocumented code. Architecture diagrams can tell a great story, but much of it is fiction compared to the implemented architecture. Even IT service management (ITSM) process flows for incident, request, and change management are rarely followed as specified in the documentation. CIOs, CTOs, and other digital trailblazers insist on documentation."
"However, project budgets rarely include technical writers, and agile teams rarely have time to do more than code-level documentation, README files, and other basics. While product owners capture requirements in agile user stories, the documentation guiding an application's business rules, journey maps, architecture, APIs, and standard operating procedures is rarely complete and up-to-date. I've previously written about using generative AI to write requirements and agile user stories."
Devops teams often resist writing formal documentation, relying on well-named, well-tested code instead. Architecture diagrams frequently diverge from implemented systems, and ITSM process flows are rarely followed as documented. Project budgets commonly omit technical writers, and agile teams produce only code-level documentation and basic READMEs. Product owners capture requirements in user stories, yet business rules, journey maps, architecture, APIs, and SOPs often remain incomplete or outdated. Generative AI tools can automate and accelerate documentation creation and updates, enabling teams to maintain accurate technical and operational documentation at the pace of code changes and deployments.
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