LIVE WEBINAR

AI wrote the code.
Then what?

Beyond the headline number: what AI is really doing to your engineering team, to review load, ownership, and where work gets stuck.

DATE

Tue, Jul 28, 2026

TIME

6:00 PM CET

12 PM ET
7 PM TLV

DURATION

45 min

35 min + 10 Q&A

WHERE

Google Meet

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FREE

· 45 minutes · Google Meet

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Why this matters

AI is increasing delivery.
It is also changing how your team works.

Output is up almost everywhere. But the same shift quietly raises review load, concentrates ownership, and moves bottlenecks downstream, changes most teams are not measuring yet.

Review becomes the bottleneck

Code is generated faster than it can be read. Senior engineers absorb a review load that delivery dashboards never show.

Ownership
concentrates

More code flows through single-author files. Knowledge narrows even as output rises — and bus-factor risk grows quietly.

Bottlenecks
just move

AI shifts the constraint downstream. The team is shipping more, but the workflow strains in places most teams are not measuring.

What we found

Delivery doubled.
Review load went up five-fold.

Across more than a million pull requests, the same pattern repeats: output climbs, but the cost lands on the people reviewing it — and on the files only one person touches.

94%

of organisations increased output

3x

larger pull requests

40%

more single-author code

1M+

pull requests analysed

Delivery vs. review load after AI adoption

Indexed to pre-AI baseline (1×) · senior-engineer review

What you'll learn

Five things you can act on the next day.

01

Measure review load,
not just throughput

The metrics that reveal what AI shifts onto your senior engineers — and how to watch them.

02

Spot ownership concentration early

Where single-author code is rising, and what it means for bus-factor and long-term risk.

03

Find the new
bottlenecks

How AI moves the constraint downstream, and where work actually gets stuck now.

04

Benchmark against
1M+ PRs

What "normal" looks like in the data, so you can read your own numbers in context.

05

Leave with
a signal set

A concrete, practical set of signals to track AI’s real impact — starting next week.

04

Benchmark against
1M+ PRs

What "normal" looks like in the data, so you can read your own numbers in context.

05

Leave with
a signal set

A concrete, practical set of signals to track AI’s real impact — starting next week.

LIVE WEBINAR

See what AI is really
doing to your team.

The headline number is only the start. Bring your questions, 10 minutes of live Q&A with Guillem.better decisions with confidence.

· Tue, Jul 28, 2026 · 6:00 PM CET · 45 minGoogle Meet

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