SQL Prompt Product Updates - June 2026
SQL Prompt's May releases focused on a new Redgate Data Modeler integration, a unified Toolbelt Essentials installer flow, and several improvements to Prompt AI reliability.
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AI Agent Governance: The Missing Piece of Autonomous IT
AI agents are making decisions, accessing systems, and resolving issues autonomously. But as organizations deploy more agents, one challenge becomes impossible to ignore: governance. Who has access? What changed? Who is accountable? The future of Autonomous IT requires autonomy with accountability.
A package manager for AI assets (and why the lock file is per-user)
Sometime in the last two years your repos quietly filled up with a new category of file. Not code, not config exactly: prompts. A.claude/skills/ directory here. A.cursor/rules/ folder there. A CLAUDE.md at the root, an AGENTS.md next to it, a.mcp.json listing the servers your agent is allowed to call. These are the things that make a coding agent useful on your codebase, and they're sprawling.
Give your AI agents live Datadog access from the command line
AI agents are becoming a standard part of how engineers write, deploy, and troubleshoot software. Getting observability data into those workflows, securely and without manual intervention, remains the harder problem.
Asimov's Zeroth Law of Robotics: testing and observing AI (ExpoQA 2026)
Asimov's Three Laws of Robotics are missing one — and when it comes to testing and observing AI, Nicole van der Hoeven argues that missing rule changes everything: before a robot can avoid harm, obey orders, or protect itself, there has to be a Zeroth Law: a robot must be observable. Because if you can't see what a system is doing, you have no way of knowing whether it's following any rule at all.
The AI Code Explosion: Why Your Mocking Strategy is Breaking Down
The rise of AI-assisted coding has transformed how software is built. With tools generating entire features in seconds, the bottleneck is no longer writing code—it’s verifying it. Because AI can generate boilerplate and handle API integrations instantly, more service changes are being pushed into authentication logic, API calls, and configurations. Teams desperately need a way to verify these changes before merging, especially when the code touches external dependencies.
How Fragmented Data Breaks AI Strategy feat. Sterling Parker, Ivanti
Your AI is only as good as the data it sits on — and fragmented IT data isn't just inefficient; it's dangerous. Watch Ivanti's Sterling Parker, SVP of Global Solutions and Services at Ivanti, explain why a unified IT platform and a clean system of record are the true foundation of secure, scalable AI.
AI inference vs. training: What they are and how they differ
AI inference and training are terms you'd run into if you have been around software engineering or even just scrolled through the news. Both are integral to delivering the AI-powered experiences we have come to expect from many of the applications we use daily. According to McKinsey, by 2030 inference will overtake training as the dominant workload in AI data centers, making up more than half of all AI compute and roughly 30-40% of total data center demand.
The skill gap AI can't close, with Hywel Carver of Skiller Whale
If 90% of code is now AI-generated, what happens to the engineers who never had to write it themselves? The ability to review code well, to catch what the LLM missed, depends on mental models that only come from practice. That tension sits at the center of this conversation.
AI Chat Detection Is Here in AirDroid Parental Control!
Say hello to AI Chat Detection! And learn how to receive alerts about potentially risky conversations in your child's ChatGPT, Gemini, and Character.AI.