Is it worth it to DIY engineering intelligence in the age of AI?
A DIY engineering intelligence dashboard takes a day or two to build. Trusting it with a board-level answer takes much more. Here’s where DIY breaks down.
AI-accelerated development
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LDX3 New York: every AI conversation came back to proof
What engineering leaders at LDX3 New York asked about AI impact, DORA metrics, review debt, and software factories.
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The AI bet is real; can you prove it’s paying off?
Most engineering leaders can’t prove their AI investment is paying off. See the five blind spots standing in the way, and how to close them.
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AI broke one of software’s oldest assumptions
AI code generation isn’t deterministic: the same prompt and model can output different code each run. Aaron Beals answers webinar Q&A on what that means.
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AI transformation in software engineering: 2025 year in review
In 2025, AI transformation in software engineering redefined the industry. How are leaders navigating impacts on quality, metrics, and ROI?
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LDX3 New York: every AI conversation came back to proof
What engineering leaders at LDX3 New York asked about AI impact, DORA metrics, review debt, and software factories.
