The technical limitations that created the divide between the inner and outer loops are being solved just in time for agentic workflows to make merging them a necessity.
Low-latency financial systems value predictable worst-case behavior over speed. Near execution, control, determinism, and debuggability outweigh abstraction.
Software testing is undergoing its biggest transformation in decades in the LLM era. Intelligent testing and self-verifying agents redefine testing across SDLC pipelines.
Tested K8s 1.35's four key features on Azure VM: zero-downtime pod resizing, gang scheduling, structured auth, and node capabilities. All scripts and configs on GitHub.
An experiment in reducing project management overhead by removing small but costly routines around Jira updates, status clarifications, and daily reporting.
An overview of Microsoft Fabric scaling. Teams that optimize, isolate workloads, and monitor capacity can avoid performance issues and operational costs.
The A3 Handoff Canvas helps teams use AI responsibly by defining task splits, inputs, outputs, validation, failure rules, and records for repeatable workflows.
An agentic solution that follows the PlanAndExecute approach can leverage the power of LLMs while executing deterministic code to provide reliable results.
Adopt the Three Lines of Defence (3LoD) framework: a banking-proven risk management system with three oversight layers. Result: 22% faster AI deployment + fewer failures.
End-to-end AI is probabilistic and prone to hallucinating unsafe physical actions. True safety requires wrapping these models in deterministic guardrails.