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8 years of experience.
Self-hosting a compact language model can be justified for narrow, repeatable internal workflows, but only when workload fit, operational ownership, and measured economics align.
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A practical decision guide for Java teams evaluating Restate and Temporal for reliable, long-running AI-assisted and business workflows.
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Internal agents become risky when model reasoning, tool permissions, credentials, and execution all share one trusted process. This reference design separates those responsibilities so teams can automate code and workflows...
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A practical scorecard for evaluating AI coding agents without relying on token counts, lines of code, or misleading pooled metrics.
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A practical React 19 pattern for fast forms that preserve user input, distinguish provisional UI from confirmed server data, and recover clearly when actions fail.
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RAG can retrieve useful context, but it should not be the authority for arithmetic, date logic, or business-rule outcomes. This guide shows Java and React teams how to separate sourced...
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MCP provides a standard interface to external capabilities, while skills define the repeatable procedure for using them. This framework helps Java and React teams choose the right boundary for internal...
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Treat every package, Maven coordinate, npm module, and install command proposed by an AI coding assistant as untrusted input until registry, provenance, lockfile, and policy checks pass.
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A cross-cloud AI agent pilot should prove one workflow, not create a new platform. Use narrow contracts, local identity, failure testing, and clear decision criteria to determine whether the added...
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Screen recordings can reveal repetitive work, but raw video, audio, OCR, and UI metadata should remain restricted evidence. This blueprint shows how to promote sanitized captures into validated SOPs with...
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