CONSTELLATION VIEW FOR CODE REVIEW

See the shape
of every change

Visu transforms your pull requests into interactive constellation maps. Every file is a star. The brightest ones need the most attention.

core.tsutils.tsapi.tstypes.tsindex.tsconfig.tstest.tshooks.ts

THE PROBLEM

Code review is
flying blind

A 47-file pull request lands in your queue. You scroll through the diff list, pick a file at random, and start reading. An hour later you realize the three most critical changes were buried at the bottom.

Large PRs are overwhelming because they strip away structure. Flat file lists hide which changes are connected, which are trivial, and which will break production if you miss them.

70% → 20%
defect detection rate as PR size grows
SmartBear / Cisco
4–5x
longer to review PRs over 1,000 lines
LinearB
400 LOC
the threshold where reviewer attention drops sharply
SmartBear / Cisco

AND IT'S GETTING WORSE

AI multiplied the output.
Review didn't scale with it.

AI-forward teams are trusting agents with bigger problem spaces every week. The PRs are larger, more frequent, and arriving around the clock. The bottleneck has moved — it's no longer writing code, it's reviewing it.

But speed without oversight is a liability. Architectural consistency, multiple eyes on high-leverage code, catching subtle design flaws — these still need humans. Drop them and you trade velocity for tech debt that compounds silently.

The teams that win aren't the ones reviewing everything. They're the ones who know exactly which files need a human and which ones don't.

More PRs, faster

AI agents produce pull requests at a pace no human team can review line-by-line.

Oversight still matters

Architecture, security, and high-leverage code still need human judgment — you can't skip it.

The new bottleneck

Review queues grow while engineers burn cycles on boilerplate they shouldn't be reading.

THE SOLUTION

A constellation map
for every pull request

Visu turns your pull request into an interactive star map. Files become stars, sized and colored by how much attention they need. Directory clusters form recognizable constellations. Dependency edges trace the connections between changes.

In seconds, you see the shape of the entire PR. The bright, glowing stars pull your eye to the high-risk files first. The dim background stars are safe to skim later. Let AI handle the boilerplate — your engineers focus on the stars that glow brightest.

Attention-weighted stars

File size, complexity, and change density set each star's brightness.

Directory clusters

Related files group into constellations so you see structure at a glance.

Dependency edges

Trace how changes in one file ripple through the codebase.

Interactive exploration

Click a star to jump into the diff. Zoom, pan, and filter freely.

HOW IT WORKS

Three steps to clarity

01

Paste a PR link

Drop any GitHub pull request URL into Visu. Public or private repos — we fetch the data instantly.

02

See the constellation

Files appear as stars, clustered by directory. Brightness and size encode how much attention each file needs.

03

Focus on what matters

Start with the brightest stars. Click into diffs directly from the map. Finish reviews faster with full context.

Visu

Stop scrolling.

Start seeing.

Visu gives your team the full picture — every pull request, at a glance.