Most quality conversations happen after the code is written.

That s already late.

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.

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.

I recently noticed a disturbing pattern with one of our most promising Intern/Junior Engineers.

• Month 1: They were shipping features daily. Fast. Hungry.

• Month 2: The velocity slowed down.

• Month 3: Silence began..

They hadn't opened a Pull Request in 2/3 days, even though their tasks were marked 'In Progress'.

I assumed the worst: Burnout? Disengagement? Maybe they are overemployed?

Developers don t hate automation.
They hate noise.

Most AI tools fail not because they miss bugs, but because they overwhelm teams with comments no one trusts.

That insight changed how we built PRFlow.

We optimized for:

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.

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

Same expectations.
Same cleanliness.
Same level of readiness.

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

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.

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

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