"DevOps"

Anthropic launches Mythos with Fable 5. Six capabilities for agents: 80.3% code reasoning, extended thinking, autonomy. Vision, science acce...

Telling the model to behave does not work. Probabilistic systems do not yield deterministic security outcomes, no matter how carefully the s...

Since LLMs can now automatically rewrite our inputs into clear, effective prompts, the main complexity lies in shifting the levels.

MIT Technology Review and Microsoft rank 101 agent tasks by practitioner confidence. Report generation tops the index while service mesh wor...

Microsoft’s internal AI transformation offers a valuable lesson for every organization: adding AI tools is only the beginning.

To operate safely at higher development velocity, organizations must embed reliability guardrails directly into their platforms.

For the last thirty years, executives have asked the same wrong question: how do we move our organization fast enough to keep up with the te...

The bottleneck isn’t the math. It’s the execution. And execution can't be delegated to an innovation committee.

AI-assisted optimization means more than A/B testing two headline variations and calling it a day.

An agent’s ability to complete a task is important, but true readiness depends on how it performs when conditions change and decisions carry...

For the past two years, the conversation around AI has focused on deployment. The next phase will focus on control.

When AI governance policies aren’t embedded into workflows, organizations default to a reactive posture.