Home · Getting Started · Model · Assessment Hub · Roadmap · References
License: CC BY-SA 4.0
https://creativecommons.org/licenses/by-sa/4.0/
This is basically the “we gave everyone copilots” phase.
Developers start using AI for autocomplete, quick snippets, explaining weird code, and maybe generating tests when they’re tired. It’s useful — nobody wants to go back to pure manual typing — but the overall way software gets built doesn’t really change.
Humans still decide what to build, how to design it, how to split the work, and whether the result is acceptable. AI just helps along the edges.
If you looked only at release cadence or planning meetings, you might not even notice AI was introduced.
What you typically see at this stage:
It can feel exciting and chaotic at the same time.
Human attention
AI reduces the grunt work of typing, but someone still has to think through the problem, make trade-offs, and verify everything. That’s where most of the time goes anyway.
Lots of visible activity, very little measurable impact.
Typical symptoms:
Basically… looks fast, moves slow.
To move past this phase, organizations usually need to get intentional:
Otherwise you just stay in the “helpful autocomplete” zone forever.