A free diagnostic for engineering teams
Four minutes. Get a costed estimate of what code review is consuming now, with the arithmetic shown and every assumption open to change.
The problem
Google's 2025 DORA report put AI adoption among software development professionals at 90%, and found 30% trust AI "a little" or "not at all." Adoption is settled. What it did to your engineering workflow is not — and three things stand between you and that answer.
Your AI tools report seats, sessions and suggestions accepted. That measures the tool being used. It does not tell you whether the work got faster, slower, safer or more fragile — and no vendor dashboard is built to.
Measuring AI's effect on software work across a whole population falls apart once you can't control who takes part and which tasks they hand over. People opt in, and the work where they expect the most help is the least likely to end up in the comparison. That's a limit of the method, not a failing of the researchers.
Nobody is a volunteer. Everyone is already being paid to do the work. Telemetry can be paired with candid interviews instead of self-reported surveys, and everything else that changed alongside AI can be written down rather than assumed away.
Fit
Saying this plainly saves us both a call.
Research
I'm running a series of conversations with engineering leaders about what AI has changed on their teams — what they've measured, what they haven't, and where it has helped or hurt. Fifteen minutes. In exchange you get the aggregate results across every conversation.
This one is not a sales call. If you would rather talk about the Triage, book the scoping conversation instead.
Book 15 minutes
About
I'm Kwaku Farkye. I've spent over ten years building software — as a founder or founding engineer at five early-stage startups, two of which were acquired, and as a technical lead and CTO. I was the first full-time engineer at Rimeto, which Slack acquired. I'm based in San Diego.
Before this I was co-founder and CTO at Navi, which ran innovation programs for organizations across the US and wound down operations in December 2025. Navi was a Department of Defense innovation contractor from 2021 to 2025 and also ran programs with universities. Over its life it delivered 49 programs for 31 organizations and trained more than 1,200 people; teams that came through those programs have raised $243.9M between them.
Every one of those programs ended with a report on what actually worked. Writing those honestly — separating what the program did from what would have happened anyway — is much harder than it looks, and it is what this practice is built on.
Afram Intelligence is my practice, and I am the only person in it. Being independent isn't a positioning choice here. It is the only reason a read like this is worth paying for.
Contact
They are different meetings. Pick the one that matches why you are here — a conversation booked under the wrong premise wastes your time and spoils mine.
Thirty minutes on your engineering organization, your AI spend, and whether the Triage is the right thing to buy. You will get a straight answer if it isn't.
Book a scoping conversation (30 min)No pitch. I ask what AI changed on your team, and you get the aggregate results across every conversation.
Book 15 minutesOr email me directly: kwaku@aframintelligence.com
This reaches the same inbox.