Looking for devs who are running way too many agents than they can handle! #developers #ide #cursor #kiro #vscode #antigravity #programming #AIAgents

Curious how @NVIDIAAIDev's version of @openclaw, aka NemoClaw, and @Gavriel_Cohen 's @NanoClaw_AI actually differ under the hood? You can now compare their architectures side by side - with dependencies mapped, and services visible. No login. Free. jigsawml.com/open-source-pro…

You can read every line of an open-source project's code. Good luck understanding how it all fits together. We just published live, interactive architecture diagrams for Flask, Axios, Zod, Hono, and Pyramid. Auto-updated as the code evolves. Free. More repos coming every week. jigsawml.com/open-source-pro…

Our advisor Doug Levin nails the problem we built JigsawML to solve. AI tools are writing code faster than teams can understand it. Architecture docs go stale the moment they're written. The gap between what's built and what's understood keeps widening. He calls it the visibility crisis. We call it the reason JigsawML exists. We launched this week. Read Doug's full take below.

While AI builds, humans should stay in control. Today, we're announcing the general availability of JigsawML - the control plane for AI-generated code. In the news: prnewswire.com/news-releases… Launch post: blog.jigsawml.com/2026/03/17… Start free: jigsawml.com/ #JigsawML #AI #SoftwareArchitecture #DevOps #PlatformEngineering #EngineeringLeadership

Well well well..

Hard truth: your FinOps practice is optimizing symptoms, not structure. If you don't understand how your services, data flows, and dependencies interact - you're just trimming leaves. Rightsizing instances, killing idle resources, shifting pricing tiers - all useful. But these are tactical moves that treat cost as an operational problem. Cost is a structural outcome of system design. Without visibility into your architectural patterns, optimization becomes a treadmill of reactive adjustments. Cloud cost management needs to evolve beyond dashboards and into Architectural Intelligence. blog.jigsawml.com/2026/01/13…

A perspective on where Observability needs to evolve next. As distributed architectures, #microservices, and #multicloud environments grow in complexity, teams rely on specialized dashboards and observability tools. Each provides precise insight into one dimension such as performance, cost, reliability, or security, but rarely connects the full picture. This creates what JigsawML calls the “paradox of modern visibility”: an abundance of telemetry without a shared mental model to interpret it. We make a case that architecture must become the connective tissue and it is the layer that ties #observability, #FinOps, #security, and #engineering insights into a unified system understanding. blog.jigsawml.com/2026/01/12…

Architectural Intelligence is starting to show up in real industry conversations. In this interview, @AppInt4All discusses why understanding how systems are structured - across code, cloud, and data - matters as much as observing runtime behavior. As AI writes more of the software, a living architectural context becomes essential. Thanks, @TonyBaer, for advancing the conversation. youtube.com/watch?v=mZ-8NQvZ…

Your cloud architecture is talking. Are you listening? Meet the fastest way to understand your software. A teaser.