What everyone was talking about at WeAreDevelopers World Congress North America

WeAreDevelopers World Congress North America featured 237 sessions across eight stages, with artificial intelligence emerging as the dominant subject and reshaping discussions of software engineering, security, product design, and hiring. Speakers widely identified code review as a bottleneck for AI-generated code, advocating that humans focus more on architectural intent, policy, and risk while organizations rely on production observability, tracing, and continuous evaluations to detect failures. Agent safety discussions emphasized sandboxed runtimes, tool-level enforcement, separate agent identities, access controls, and limits on spending or destructive actions rather than dependence on prompt instructions. Sessions on agent development argued that model selection should be based on cost per successful outcome, with routing among smaller and stronger models supported by workload-specific evaluations, while context engineering, MCP-based tool access, and secure memory systems were presented as central to agent performance. The conference also highlighted the growing importance of “agent experience,” as autonomous systems increasingly use documentation, web applications, databases, and payment systems. Across these changes, speakers suggested that developers’ roles are shifting toward product judgment, defining constraints, and evaluating outcomes, while calling for renewed junior hiring and training pathways that cultivate those skills.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.