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3 Things Leaders Must Know About Scaling AI
AI is moving faster than ever, but is your governance keeping up? In this video, Brooke Johnson, Ivanti’s Chief Legal Counsel and SVP of People and Security, breaks down the critical gap between AI adoption and responsible scaling. While speed is rarely the issue, trust and accountability are becoming major roadblocks for IT teams. We explore why nearly 70% of IT pros have witnessed AI hallucinations and how unclear ownership can stall even the most advanced AI initiatives.
Building a Control Framework for the AI SDLC
Since November, Kosli’s own engineering team has been running a live experiment: what happens to code review when the thing generating the code - and increasingly, the thing reviewing it - is an AI, not a person. Alex Kantor, Kosli’s Director of Technology, walked through that experiment in this webinar: what broke, what it cost to fix, and what four “obvious” assumptions in a standard code review control turned out not to hold once you took the human out of the loop.
Why Internal Agents Must Be Rebuilt with Runtime Context
As we entered 2026, enterprises raced to build internal AI engineering agents, automating incident response, code review, and support. The investment was real, but 88% of these pilots never reached production, and teams are now in rebuild mode, trying to understand why. Live runtime validation was the key architectural decision skipped in these v1 agents and it’s still missing from many v2 designs. Agents need to verify their reasoning against production before they act.
Playwright MCP vs CLI: the token problem is gone
"MCP burns too many tokens" is old news. Lazy MCP tool loading and page snapshots on disk fixed the token problem. We benchmarked Playwright MCP vs the CLI, and they're roughly the same. Pick your tools based on workflow, not token anxiety.
AT&T Email-to-Text Is Gone - Need an Alternative?
If you relied on AT&T Email-to-Text to notify people on the go or on call, SIGNL4 is an easy-to-use replacement. Alerting people stays simple with SIGNL4. It's easy to get started and goes beyond basic text messages by helping ensure someone responds.
Sentry + GitHub Copilot Agents
Seer, Sentry's agent debugger, analyzes your issues and finds the root cause. Now you can pass that analysis directly to a GitHub Copilot agent which picks up the context, generates a fix, and opens a pull request. The agent session and PR both live on GitHub, with a link back in Sentry for easy access. This video walks through how the integration works.
AI ROI is not an engineering metric
I spend most of my week talking to companies about AI ROI. A few months ago, that was still a weirdly specific conversation. Now it’s everywhere. CloudZero spends a lot of time in that conversation, so I’m glad the market is talking about it. But the conversation tends to start, and stall, in the wrong place. There are two ideas I keep coming back to: That doesn’t mean developer productivity is fake. It’s very real.
7 Code Review Practices That Prevent Technical Debt: Softalium Limited's Framework
Technical debt is one of those problems that's easy to understand in the abstract and genuinely painful to manage in practice. Every software team knows what it is - the accumulated cost of shortcuts, quick fixes, and decisions that made sense in the moment but created future work. What's harder to internalize is how quickly it compounds. McKinsey research found that technical debt accounts for approximately 40% of IT balance sheets, with companies diverting an additional 10-20% of their technology budgets just to manage it.
Jasiri Limited's 4-Stage Approach to Regression Testing in Agile Sprints
A trapeze artist does not perform the difficult part of the act without a net strung underneath. The net does not make the trick any easier. It makes attempting it survivable, which is the only reason anyone dares to let go of the bar. Jasiri Limited thinks about regression testing in much the same way. In a fast sprint, the temptation is to move quickly and assume nothing already working will break. The testing is the net that makes moving quickly survivable, and the company builds its approach by starting from the outcome and working backward.