Jason Gorman1d ago

CircleCI's analysis of 28 million CI workflows confirms the same picture the DORA data shows. While feature branch activity's up significantly, the median impact on *main* (i.e. release) branch activity's net-negative 7%.

Only the top 5% of teams saw significant gains. The top 10% flatlined at 1%.

For the average team, AI slows them down overall.

Told ya!

https://www.linkedin.com/pulse/what-28-million-workflows-reveal-ai-codings-biggest-risk-circleci-j9syc/

What 28 million workflows reveal about AI coding’s biggest risk

In our last issue, we shared a preview of data from our upcoming 2026 State of Software Delivery showing that the promised AI productivity boom isn’t all hype. Throughput across the CircleCI platform increased 59% year-over-year, by far the largest productivity jump we've ever recorded and a clear i

Show threadJason Gorman1d ago
"But Jason, this is only 28 million data points comprising actual observations from real projects..."
Show threadJason Gorman1d ago
Now let's watch engineering leaders nod sagely in agreement and then proceed to do nothing about it. Like they always did.
Show threadmosmann1d ago
@jasongorman "But we are the top 5% team" ..
Show threadChris Pitts1d ago

@mosmann @jasongorman 👆This! 100% this!

Teams & developers generally just don’t realise how bad they are. The apparent arrogance and lack of humility is staggering, and IMO is getting worse.

Show threadJason Gorman
@thirstybear @mosmann I've known for years that the teams who need my help most believe they need it the least
Apr 1 at 6:32amWeb
Show threadChris Oldwood1d ago

@jasongorman @thirstybear @mosmann

You are Nanny McPhee 😁

“When you need me, but do not want me, then I must stay. When you want me, but no longer need me, then I have to go.”

Show threadChris Pitts1d ago
@chrisoldwood @jasongorman @mosmann Funnily enough that’s how I describe my coaching approach too 🙂