As a people leader, I am very intentional about developing my employees and their careers. That sounds obvious but so many leaders only care about the business objectives. I care about both and find ways to make these overlap. I lost my entire team this year due to layoffs but every one of them landed a new role in like a month or so, even in a super tough and competitive market, because I was deliberate about preparing them not just for this job but also the next. They're so amazing 🥹

At some point soon, we're going to have to admit that we no longer truly understand the systems we're building. Companies are openly bragging that their developers don't bother looking at the code their agents produce; and it's so much of it, that code reviews have become a passive thumbs up. Even without AI generated features, modern systems are already extremely complex which makes it challenging to debug, especially in areas where you're not a subject matter expert. Now is not the time to slack on observability. If anything, the need just went up. We have to be able to properly investigate incidents when they inevitably occur. I like Honeycomb Canvas for this because it gives me an interactive workspace where I can explore and debug in natural language without manually piecing together queries across telemetry data. "Why was the checkout flow so slow yesterday?" "Customers are complaining about site crashes. Help me figure out what's wrong." "There are reports of an outage... how widespread is this?" Canvas runs queries on your traces and structured events, giving you visualizations to help you quickly get to the root of the issue. It'll even suggest follow ups if you're not sure where to look next. My favorite usage is @'ing the Canvas Slack bot to pull insights right into team discussions 👌🏽 If you're not already using Canvas, it's definitely worth checking out: fandf.co/4djGo6k Shoutout to the good folks @honeycombio for the collaboration. Really enjoying Canvas, and I've been playing around with the MCP server too :)

The road to becoming an AI-native org is paved with new (and arguably exciting?) challenges. We've gotten to the point where we're delegating work to multiple agents running in parallel. But now it's a human and 5 agents all trying to work on a single laptop. Yes, this is as messy as it sounds lol. We've built an orchestrator, but that only solves coordination. My poor laptop is still fighting for its life! We used @CoderHQ to provision dedicated, isolated Workspaces so that both devs and agents could run their tasks in our cloud-based environments. Now each workflow has its own space with the resources and dependencies it needs without stepping on anything else. That also gave us more control. Work is now consistent and reproducible with the right guardrails in place. If your org has agents as workers, it's time to get them off of your engineers' laptops and into proper environments. Tools like Coder make that possible with features like Agent Boundaries, AI Bridge, and Tasks to help teams run agents securely and at scale, whether in your cloud or on prem. Thanks so much for the collaboration, Coder! We're now cooking Check it out for yourself fandf.co/4bqCTbD

What if instead of spinning up yet another parallel agent, you reviewed some of your team members' PRs while your primary agent is working? idk just a thought

My girl @blackgirlbytes schooling us on Intent Engineering. Turns out MCP already has a lot of the primitives to enable this: elicitation, sampling, and apps. Brilliantly done! #MCPDevSummit

We have a series of agentic AI conferences coming to North America, Europe, Asia, India and Africa this year! Find an event near you events.linuxfoundation.org/a…

Sharat is the best of the best! If you're looking for a senior leader who still stays in tune with the technology and its users, Sharat would be a perfect fit!