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Introducing CAFE(S): A framework for defining AI context quality
Five durable properties for evaluating the context we hand to AI agents.
Sep 24
•
Brian Houck
26
2
4
Most Popular
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How Google Measures and Manages Tech Debt
Jun 9, 2023
•
Abi Noda
63
2
1
What are code reviews even for?
Aug 5
•
Brian Houck
49
4
7
AI productivity gains are 10%, not 10x
Mar 11
•
Justin Reock
31
12
3
Measuring Developers’ Jobs-To-Be-Done
Sep 6, 2024
•
Abi Noda
26
2
AI in engineering
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The gap between code velocity and trust is growing
Throughput is up 75.5% in a year, but organizations with the most AI-authored code wait 105% longer for a first review.
18 hrs ago
•
Grace Fu
and
Scott Carey
7
Don’t measure AI Code Percentage on its own
Treat it like a lens, not a KPI.
Oct 7
•
Scott Carey
and
Brian Houck
12
7
1
Do you really need another framework?
Where CAFE(S) fits with your existing measurement and evaluation stack.
Sep 30
•
Brian Houck
11
Data & benchmarks
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“Your benchmarks don't apply to us"
Why benchmark trends matter more than you think.
Aug 14
•
Brian Houck
10
1
The State of AI Impact in Engineering: Q2 2026
Data from 500+ teams reveals that AI is delivering measurable velocity gains, but velocity alone isn't the story.
Jul 22
•
Justin Reock
25
3
The AI efficiency plateau
Tracking the trajectory of developer time savings from AI
May 27
•
Brian Houck
11
2
4
Recent posts
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The gap between code velocity and trust is growing
Throughput is up 75.5% in a year, but organizations with the most AI-authored code wait 105% longer for a first review.
18 hrs ago
•
Grace Fu
and
Scott Carey
7
Don’t measure AI Code Percentage on its own
Treat it like a lens, not a KPI.
Oct 7
•
Scott Carey
and
Brian Houck
12
7
1
46:55
How Meta reduced diff authoring time by 40%
Meta researcher Moritz Beller shares how Meta measures developer productivity and how AI is changing engineers’ work, metrics, and testing.
Oct 2
•
Brian Houck
5
Engineering Enablement
Research and perspectives on developer productivity.
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