The AI-era engineering performance platform | Penserolink in Engineering management | Pensero [Login](/auth/login/) [Let's talk](../../book-demo) [Login](/auth/login/) [Let's talk](../../book-demo) [Let's talk](../../book-demo) [Login](/auth/login/) ###### 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 Save your seat FREE · 45 minutes · Google Meet WORK EMAIL Name LAST NAME ROLE Select roleCEOCTOCFO TEAM SIZE Select size0-5050-100100-500500+ Register now Can't attend live? Register and we'll send you the full recording and the data. We use your details only to send webinar access. No spam. Companies that trust Pensero - ![](https://framerusercontent.com/images/h71Cxx5XNRzbG2MehCqIfB4U7fs.png?width=112&height=256) - ![](https://framerusercontent.com/images/ionZouKGJUi714ZQaqtoeu1Grs.png?width=116&height=256) - ![](https://framerusercontent.com/images/YfZGGEysCcvTIMYbcMsh9i5lwFQ.png?width=7497&height=1958) - ![](https://framerusercontent.com/images/LrmBEKC0Q6CjW5xLnu8RW8kQpQ.png?width=7497&height=1558) - ![](https://framerusercontent.com/images/jgGyW1O7xXfMV3i8WPVG6Rcgs4.png?width=4031&height=1165) 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 ![](https://framerusercontent.com/images/ptWR19yekLLp26LnnG8wacya1A.gif?width=3840&height=1680) 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. 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