We’re starting to see the power of AI agents working across tools. Linear detects and categorizes a new bug, Sentry identifies the root cause, and Cursor ships the fix — all without breaking context. This is how building (and fixing) products should work: fast and automated.

How does static analysis work, and how does it differ from other approaches? Kostas Ferles breaks it down and introduces the Vanguard tool.

Debugging a production issue can feel like searching for a needle in a haystack, blindfolded. That's often a clear sign you might be missing true observability, not just monitoring.

Single Source of Truth (SSOT) isn't about using one tool. It's about knowing exactly where each type of information or action belongs.

If you’ve heard of Antithesis and wondered what it actually does, here’s the clean answer in precisely 4 minutes, 19 seconds. Akshay Shah (our Field CTO) walks through a real PR → a failing property → the triage report → and the multiverse debugger (time-travel FTW) to land on the root cause - fully deterministic, perfectly replayable. Ready to test smarter? Chat with us: https://lnkd.in/eEKGg_iM 

Hitting 0.75 recall by predicting everything positive isn’t winning. Common mistakes • Picking thresholds on the test set. • Lowering threshold until recall target is met → precision collapses. • One fixed 0.5 cutoff for all use-cases. Do it right • Pick thresholds on VALID with: • Fβ (e.g., F2 for screening: recall-leaning), or • Cost-sensitive rule when resources are scarce. • For recall targets, choose the first recall crossing on PR (highest threshold that achieves it). 60-sec check • Did you choose thresholds on VALID? • Do you know your P/R pair at the deployed cutoff? • If using costs and calibrated probs, can you state t = c_fp / (c_fp + c_fn)?

1-MIN “AGENT” TUTORIAL: The definition of “agent“ https://lnkd.in/gc3aqqrz became more clear when token costs dropped, structured output and function-calling got easier, and you could leisurely run a model in a LOOP. 📺 1-Dev Minute: https://lnkd.in/gc3aqqrz HT 🧑🍳 Ross Heise --- More on LOOPs in How To Speak Machine (2019) https://amzn.to/2HjDtM6 and How To Speak Machine (New Edition 2025) https://lnkd.in/gC9DGPb8

Even the best-built models can break under pressure. Before a model reaches your stakeholders, stress testing helps you catch: 👉🏿 Logic flaws that distort outputs 👉🏿 Unrealistic assumptions 👉🏿Formatting or version issues in shared files It’s the final check that turns a good model into a reliable one. 🧐

Control Chart is a handy tool that tracks how a process performs over time, spotting trends or issues early. It helps keep things steady and improves quality by showing when something’s off. 📈

Your company on Linear can now have: Sentry analyze the error, Cursor to open the PR, you review the code and ship.