How AI is changing developers’ mindsets, not just their code (www.techradar.com)

Generative AI is reshaping developers’ mindsets as much as their code: engineers now use AI both to draft specific code snippets and to structure, verify and brainstorm entire designs. While early hallucinations made AI a time sink, modern coding agents increasingly build and run self-tests and iteratively correct their outputs, reducing some failure modes. Still, productivity effects are mixed—one study found developers take 19% longer with AI tools overall—and roughly 60% of observed flaws stem from AI-generated issues, especially in specialized or atypical code where more human guidance and prompt expertise are required. The biggest immediate impact is in DevOps and site reliability engineering (SRE): integrating telemetry into AI via model context protocol (MCP) servers (used with tools like Cursor and Claude Code) gives models live context—SLOs, logs, latency distributions—so they can reason on operational data, reduce hallucinations, and surface actionable diagnoses without manual data plumbing. That accelerates routine investigations and lets engineers focus on higher-level business problems. The article argues the future will be human-centered autonomy—specific workflows overseen by humans—where AI fills knowledge gaps, mentors junior devs, handles menial tasks, and augments decision-making rather than replacing developers.