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Senix
Find Hidden Issues Before They Reach Production
14 followers
Find Hidden Issues Before They Reach Production
14 followers
Senix reads every PR your team opens and posts a behavioral summary with risk level as a comment within 30 seconds. Built for teams shipping with Cursor, Copilot, and Claude Code.
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Everyone in the thread is talking about the catches, curious about the flip side: what's the false positive rate like on a large repo with a lot of PRs a day? A risk comment that's wrong too often just becomes the new stale CI check people learn to click through. Also, is the analysis scoped to the diff itself or does it pull in how the changed function is actually used elsewhere in the codebase? Some of the riskiest changes look completely safe in isolation and only turn dangerous once you know the callers.
@galdayan That's a great point, and honestly one of the biggest challenges with any code review tool.
We're actively tuning Senix to minimize false positives because, as you said, a noisy tool quickly becomes another notification developers ignore. Our goal is to provide high-signal feedback that developers can trust.
On the analysis side, Senix starts with the PR diff but also pulls in relevant context around the changed code to better understand potential impact. We agree that some of the most dangerous changes look harmless in isolation, so contextual awareness is a big area of focus for us as we continue improving the product.
Out of curiosity, how large is your team's codebase, and roughly how many PRs do you process each day?
Finally something that doesn't just nag me about my PRs. Dropped it on a messy refactor PR and the risk call caught a regression I'd already half-missed locally.
@nazlcanzay5vlt Love hearing this! That's exactly why we built Senix. 😊
Out of curiosity, what kind of regression did it catch? And was this on a personal project or a production codebase?
@nazlcanzay5vlt Thanks for sharing! It's great to hear Senix kept pace with your workflow and caught something important.
Out of curiosity, would you trust an AI review enough to block a merge if it flagged a high-risk change?
Finally something that keeps up with how fast we push PRs. The risk-level note on my last PR caught a real issue I'd already moved on from.
@glsmntu0 Love hearing that! Catching issues before they slip through is exactly what we're aiming for.
What kind of issue did Senix flag? We'd love to learn more and keep improving the risk analysis.
The 30-second window is genuinely impressive, especially when most code review bots feel like they show up after you've already merged. Love how it just drops the summary right into the PR instead of burying it in some dashboard nobody checks.
@elife1174609 Thank you! Speed was a huge focus for us we wanted Senix to fit naturally into the PR workflow, not add another tab to your day.
Curious, what's your current code review setup like? Are you using any other AI review tools alongside Senix?
Honestly the 30 second risk summary on PRs is kind of addictive, especially when it's catching stuff I totally missed in a Claude Code generated diff. Wish I had this a few sprints ago.
@serdarurim Haha, that's great to hear! Claude Code is awesome, but we've all learned the hard way that "it compiles" doesn't always mean "it's safe." 😄
What did Senix catch in the diff? And would you use it as a required check before merging?
The 30 second response is great but it would be really helpful if you could add a way to configure what counts as "high risk" per repo, since right now every team I work with seems to have different standards for what deserves a closer look.
@dilaranjjm Thanks for the suggestion! That's a really valuable idea.
You're absolutely right every team has different standards, and a one-size-fits-all definition of "high risk" doesn't work well in practice. Customizable risk thresholds are something we're actively thinking about as we evolve Senix.
Out of curiosity, what kinds of changes would you consider "high risk" in your team's workflow?