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Engineering culture, developer tooling and the working lives of the people who ship software, from The Silicon Ledger.
Artificial intelligence agents have dramatically accelerated the building of internal applications, yet teams still struggle with slow, manual processes for granting safe access to production data across fragmented systems.
Testing reveals that OpenAI's new always-on agents flag permission problems twice as often when handling longer sequences of work, raising questions about how autonomous systems maintain proper access controls.
Microsoft has transitioned Windows Subsystem for Linux containers from public preview to general availability, introducing new command-line tools, APIs, and management features for developers running containerized workloads on Windows.
When employees change roles or leave, their resource ownership tags often go unnoticed. A combination of queries, policies and process changes can catch orphaned infrastructure before it becomes a security problem.
As enterprises demand coding agents that can handle massive, interconnected systems, Blitzy is using graph databases to give AI the contextual understanding needed to modify codebases safely at scale.
The veteran performance engineer discusses how large language models are accelerating custom tool development and why response time distributions matter more than percentile measurements.
Artificial intelligence agents can now monitor and manage Kubernetes clusters, but their effectiveness hinges on what data they can access and how tightly teams constrain their actions.
Hardware improvements and software optimization are converging to make what was once a time-consuming task nearly instantaneous for enthusiasts.
