Teams often try to speed up code review
by cutting corners or skipping steps.

PRFlow takes a different approach.

It s an AI agent that handles the initial review of GitHub PRs
so senior developers can focus on architecture, logic and long-term impact.

And when something is unclear,
you can chat with PRFlow to understand the reasoning behind its feedback.

In about 17 days (I hope I m counting correctly), I ll be re-launching the mobile app, and now I m wondering how much the Product Hunt community will try it out.

I spend 100% of my time on a desktop on this platform.

But the majority of the population is mobile-only.

I spend most of my time on these two things:
1) observing products on the main page and upvoting/commenting on them

2) talking with people within comments under my forums

The second one is the one where I notice some things that I lack and see possible improvements, namely:

There are products I keep using when launching on Product Hunt -- products that help me craft beautiful assets, plan content distribution, and analyze results.

Here's my personal collection. How about you? What's your stack?

PRFlow helps teams do the opposite.

It s an AI agent that analyzes GitHub pull requests
so human reviewers start from a cleaner, clearer place.

PRFlow doesn t just comment on a PR.
It explains why something matters.

It s an AI agent that reviews GitHub pull requests
and lets you chat with it about the logic behind each suggestion.

That turns review from a checklist
into a conversation about the code.

We built it so teams can move faster
without losing understanding.

Authors bring intent.
Reviewers bring perspective.

When either side disengages,
quality drops quietly.

Strong reviews feel like collaboration,
not inspection.

PRFlow is designed to support that balance,
not replace it.

Same expectations.
Same cleanliness.
Same level of readiness.

When that baseline shifts between PRs,
reviewers subconsciously lower the bar.

When teams are aligned,
reviews are calm, focused and thoughtful.

When teams are rushed or unclear,
reviews become noisy, reactive or silent.

Meetings.
Incidents.
Messages.
Context switching.

When reviews arrive noisy,
they get rushed.

As one year comes to an end and a new one begins, I find myself pausing to reflect. If you had the chance to say something to your future self to the version of you in 2025 and 2026, what would it be?

Looking back, I want to thank myself for how much I pushed through this past year:

• For finding a job I genuinely value, even after going through a long period of stress and fear of unemployment

• For speaking up and sharing my own perspectives at work

• For choosing action over just talking

• For walking away from toxic and unnecessary work relationships

• For daring to learn new things outside my original field of study

• For letting go of some comforts and entertainment to focus more on my health

Seeing the same feedback again and again slows learning.
Giving it again slows teams down.

PRFlow handles repeatable checks automatically,
so human reviewers spend time on things that actually change how code evolves.

Hey Product Hunt community,

I recently challenged myself to build and ship a tiny Product Hunt-related project in about 24 hours. No grand vision, no long roadmap. Just an idea I personally wanted to see exist, built fast and pushed live.

Hey everyone! We re launching VibrantSnap updates today and celebrating the New Year with an exclusive 20% launch discount.

Before launch, we d love your thoughts on a feature we re considering next: AI voice-over.

The idea:
Instead of recording a voice-over separately, you d speak naturally while recording your screen and VibrantSnap would automatically reformulate and generate a clean, polished AI voice-over from your original speech.

Proposed flow:
1 You record as usual and talk naturally
2 AI cleans up phrasing + tone
3 Final video gets a clear, professional voice-over

To encourage real experimentation, we re offering 5 million free tokens on first API usage so devs and teams can test Alpie Core over Christmas and the New Year.

Alpie Core is a 32B reasoning model trained and served at 4-bit precision, offering 65K context, OpenAI-compatible APIs, and high-throughput, low-latency inference.

If you were evaluating or using a model like this:
What would you benchmark first?
What workloads matter most to you?
What comparisons would you want to see?

Guys, Merry Christmas and Happy New Year! I'd like to wish each of us to learn how to find problems that:

1. Haven't been solved by anyone yet.

2. People are truly willing to pay to have solved.

Not because people don t care.
Because attention is limited.

When reviewers are exhausted,
they miss context,
skim changes,
and default to approval.

PRFlow was built to remove the noise before humans step in,
lint-level issues, obvious mistakes, missing basics.

It doesn t replace reviewers.
It protects their focus.
If you want to try it on real PRs, here is the link : https://www.graphbit.ai/prflow

I absolutely love seeing people still launching stuff even during the holidays. In my opinion, every true founder is a workaholic (a little bit).

I m pretty sure half of us are secretly thinking about business during Christmas.

Some teams comment on performance.
Some on readability.
Some on test coverage.
Some on edge cases.

Over time, those comments shape behavior more than any guideline.

Most code doesn t last.
But the reasoning behind it should.

Good code review captures intent,
why something exists,
what problem it was meant to solve,
and what tradeoffs were accepted at the time.