Graphbit PRFlow

Quick question: does GraphBit support connecting to self-hosted or open-source LLMs (like Ollama or local Llama models), or is it limited to cloud API providers like OpenAI and Anthropic? Thinking about use cases where data can't leave the network.

Congratulations on the launch. I am a solo dev building Badge, I will definitely try this for my repo as an AI reviewer. One question - you said you save cross file context in a single pass, one obvious questions comes - how do you deal with loss in the middle, because that directly translates to misses in review.

Congrats guys, looks exciting because most AI reviewers just skim the diff and miss the bigger picture. The cross-file dependency mapping is the real unlock, and 14 issues caught where another tool found zero is a serious proof point. Excited to see this grow!

Hey Product Hunt! 👋 Thrilled to be here on launch day.I'm Junaid Hossain, one of the makers behind PRFlow, and I want to share why we built this.We kept hitting the same wall: AI code reviewers that catch nothing meaningful on the first pass, flood your PR with noise, and feel completely different run to run. Consistency was broken at the foundation.PRFlow is our answer to that. It doesn't just scan diffs, it traces the exact function that changed and follows it across cross-file dependencies in a single pass. That's how it caught 7 critical security issues, including an XSS vulnerability spanning a Ruby model, an HTML template, and a JavaScript file, where competitors found zero.What makes it different in practice:Every PR gets a structured review, every time, not just when you're luckyIt learns your team's standards from feedback, so noise goes down over time automaticallyPay per review, not per seat. Therefore, no bloated contracts for a tool you're still evaluatingWe benchmarked on 10 real public PRs. Some of the reviews are live on GitHub. You can read them right now.Would love for you to install it on a real repo and tell us what you think. We read every single comment. 🙏

As a solo dev who reviews my own PRs (building FinTrackrr, a free personal finance tracker), I miss critical issues all the time. The idea of an AI teammate that learns your team's coding standards and catches security issues that humans miss is genuinely valuable. The pay-per-review pricing model is smart — especially for solo devs and small teams without enterprise budgets. Does it support Python codebases or is it primarily focused on JS/TS?

Can I run PRFlow retroactively on closed PRs to audit past missed issues?

Congrats on the launch, Musa! The 'cross-file context' piece is a massive differentiator. Most AI reviewers get stuck on the diff lines and miss the bigger architectural ripple effects.

"Learns your team's standards over time" , this is where I'd love to dig deeper 👀 The architectural choice that fascinates me: how do you handle the fact that team standards are themselves moving targets? A staff engineer ships a new pattern on Monday, the team adopts it by Friday, and your model has three months of "this is how we do it" in its weights. Does PRFlow have a way to detect when the team is intentionally drifting vs accidentally regressing? Feels like the hardest problem in this category. I personally need a product which can tackle this challenge. Great launch — rooting for the team today 🚀

Does PRFlow post comments as a bot or as a check summary on GitHub?

Can teams self host PRFlow, or is it entirely GitHub cloud based?

How long does the minutes promise take for a 500+ line PR, Musa?

Can developers override or train PRFlow to learn their team’s specific patterns?

Really like this approach to AI-assisted code reviews.

Instead of replacing engineers, GraphBit PRFlow seems focused on reducing repetitive review noise and helping teams stay focused on meaningful feedback. Cleaner PRs and faster reviews can make a huge difference for engineering teams over time.

Curious — how are you handling context awareness across larger PRs or multi-file changes? Congrats on the launch 🚀