Md_haseeb1mo ago

✨ What's new:

🔗 GitHub Integration – Connect your GitHub account so Vigil can correlate incidents with repository activity and deployment context.
🧠 Smarter AI Investigations – Vigil now relies more heavily on monitoring evidence, historical trends, and GitHub signals to produce more structured, evidence-based incident analysis instead of generic AI explanations.

This is another step toward making Vigil an AI reliability engineer that helps explain why something happened, not just that it happened.

As always, I'd love your feedback and suggestions. Thanks for supporting PulseBoard's journey! 🚀

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Comments (2)

Stacy Wycoff1mo ago

The GitHub integration + "cause unknown from available data" guardrail is a great combo — correlating incidents with actual deployment context instead of letting the AI freestyle a root cause. I hit the same design decision with FounderFlow: every insight gets graded Verified, Very Likely, Needs Review, or Monitor Only, because a confident-sounding wrong answer during an incident (or a messy week across multiple businesses) is worse than the tool just saying "not sure yet." Are you finding users trust Vigil more once it started admitting uncertainty instead of always giving a definitive-sounding root cause?

Md_haseeb1mo agoReply

Thanks, Stacy! I completely agree—during an incident, a confident but incorrect explanation can send engineers down the wrong path and waste valuable time.

That was one of the biggest design decisions behind Vigil. If the available evidence isn't strong enough, I'd rather have it say "cause unknown from available data" and clearly explain what it does know instead of inventing a root cause.

So far, the feedback has been encouraging. It feels more like working with a cautious engineer who's transparent about uncertainty rather than an AI that's always trying to sound certain.

I'm also working on expanding the evidence Vigil can use. Today it correlates monitoring data with GitHub context, and I'm building a deeper code analysis pipeline so it can understand what functionally changed in recent commits instead of relying only on commit messages. The goal is to reduce uncertainty by giving the AI better evidence—not by making it more confident.