AI engineering7 min read
EU AI transparency rules: an engineering checklist
A practical checklist for teams reviewing disclosures, generated content, system documentation, and ownership after the EU transparency rules took effect.
Read the noteInsights
Notes for people building real systems.
Practical, source-backed guidance across AI engineering, software development, architecture, and DevOps. Each note includes its review date and primary sources.
AI engineering8 min read
Using the NIST AI RMF in product delivery
How to turn Govern, Map, Measure, and Manage into concrete product, engineering, and operational work.
Read the noteAI engineering8 min read
Secure AI applications beyond the prompt
An application-level security review covering authority, data flow, integrations, and output handling using current OWASP guidance.
Read the noteSoftware development6 min read
AI-assisted delivery amplifies the system around it
What the DORA 2025 research means for engineering leaders adopting AI-assisted software development.
Read the noteSoftware development7 min read
Turning the OWASP Top 10:2025 into delivery practices
How teams can connect the current OWASP application risks to architecture, implementation, testing, and operations.
Read the noteArchitecture6 min read
Architecture decision records for AI-enabled systems
A concise ADR structure for recording AI system boundaries, evaluation choices, fallbacks, and operational responsibilities.
Read the noteArchitecture7 min read
Designing human review for AI workflows
How to make escalation and review usable, timely, and accountable instead of adding a ceremonial approval step.
Read the noteDevOps6 min read
Consistent service telemetry with OpenTelemetry conventions
A practical way to standardise names and attributes before dashboards and alerts become difficult to trust.
Read the noteDevOps8 min read
Software supply-chain controls for NIS2 readiness
Engineering practices that make third-party software, build paths, and supplier responsibilities easier to understand and govern.
Read the noteAI engineering8 min read
A production-readiness checklist for AI features
A release review covering user value, data, evaluation, security, fallback, observability, and operational ownership.
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