AI should simplify work, not turn every workflow into a debate over models, prompts, and effort levels. The latest State of #AI explores why the question of which model is best is often harder to answer than it seems, and why real evaluations matter more than gut feel. Watch the short, then catch the full conversation with @ladyleet, @jonfontanez, @robocell, & @ElliottFouts.

AI adoption rarely grows in a straight line. A few agents can quickly become dozens or hundreds across an organization. @ladyleet and @_malcolmadams discuss why governance, visibility, security, and human oversight need to be part of the conversation from the start. Strong AI systems need a clear control plane as much as they need powerful models. Watch the full episode for more on #AI governance and enterprise-scale agentic AI. #AIGovernance #ResponsibleAI #AIAgents #EnterpriseAI

What should drive #AI model selection: quality, speed, cost, privacy, or the type of work? In this State of AI conversation, @robocell explains why the real cost of AI goes far beyond inference and token pricing. Human oversight, rework, and downstream business impact all shape the true ROI of a model choice. Watch the complete State of AI livestream for the full discussion.

AI model menus are getting crowded. This State of AI short asks a simple question: should every user pick a model, or should AI systems route work automatically? The answer may depend on the job. Choice matters for hands-on work. Automation may need a smarter default. Watch the full conversation. #AI #AIAgents #StateOfAI

Enterprise AI gets more useful when the tools people need are connected to the place where they already build. @_malcolmadams explains how @IBM Bob brings access to IBM's ecosystem into a familiar development environment, helping reduce context switching while keeping enterprise architecture, security, and monitoring close at hand. Watch the full episode with @ladyleet for more practical insights on building with AI agents. #EnterpriseAI #AI #DeveloperExperience #IBM

Building #AI agents is only part of the equation. Teams also need to understand what those agents change. In this clip, @_malcolmadams explains how @IBM Bob combines agent-building workflows with analytics that can help teams track delivery impact, adoption, and cost. It is a useful reminder that AI development needs visibility, not just velocity. Watch the full podcast episode with @ladyleet and Malcolm for more on IBM Bob, governance, and enterprise AI. #AI #AIAgents #DeveloperTools #IBM

The best @reactnative decisions are the ones that still hold up months after launch. Join us September 30 for the State of #ReactNative panel with @groundcontrol, @ccheever, @mazenchami, @GantLaborde, @BrandonMathis, and Jake Krupski as they dig into architecture, performance, tooling, and long-term maintenance. Bring your questions. Leave with ideas you can apply to your next build.

AI agents are starting to blur the old boundaries around engineering roles. In this clip, @GroundControl shares what developers may spend more time doing as agents handle more implementation work: designing systems, supplying context, and validating results. Check out the complete episode👇