Tokenmaxxing is out. How to minimize AI spend without sacrificing security capability.
Security teams are discovering that the most capable AI models cost too much to run on routine, high-volume work, and The post Tokenmaxxing is out.…
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Turning 10x developers into 10x value
When I sit down with leaders and ask why they’re investing in AI, the answer almost always comes back to The post Turning 10x developers into…
In a world of AI agents, where do we fit in?
For more than a decade, leaders have used the phrase “Future of Work” to describe how technology is transforming business. The post In a…
The MCP debate has a context problem
Every few months, a new technology gets its premature obituary. Across many developer circles, MCP’s has already been written. Too The post Th…
The organizational iceberg: the invisible data breaking your AI agents
When building data platforms for large institutions, we often make decisions based on what we can see, ignoring blind spots, The post The organizati…
GitLab just surveyed 1,500 developers. Here’s why it matters for your codebase.
For the past two years, the conversation about AI-assisted software development has been dominated by speed. A new GitLab survey The post GitLab jus…
The hidden cost of build vs. buy for agentic AI in regulated industries
Regulated industries know this pattern well: A new capability emerges. Teams spin up point solutions, each one solving a discrete The post The hidde…
Why enterprise AI needs customization
Most organizations are approaching AI adoption the same way they once bought enterprise software: pick a vendor, standardize on a The post Why enter…
As agentic dev tools boom, workflow auditability becomes the constraint
Recently, I was working with a senior engineering leader at a large financial institution to review their DevSecOps platform engineering The post As…