INSIGHTS / TECHNICAL DECISIONS
Answers for
ambitious projects.
Detailed, evidence-based articles about the decisions behind reliable AI products, maintainable Laravel systems and effective IT security.
A realistic view of AI-assisted penetration testing
Where AI helps with reconnaissance, hypotheses and reporting, where it fails and how local models protect sensitive test data.
Securing AI agents: tool permissions, budgets and approvals
How narrow tool contracts, least privilege, technical budgets and verifiable approvals keep agents controllable.
Local LLMs or frontier models: decide by data class
A decision framework for quality, privacy, cost and operations across external APIs, local inference and hybrid workflows.
Evaluating RAG systems with real evals: quality before demo effect
How specialist questions, retrieval metrics, source grounding and human review make RAG quality measurable.
Separating tenant isolation and authorisation correctly in Laravel
Why tenant boundaries, object permissions and business states need separate security rules and negative tests.
Systematic Laravel performance analysis instead of blind optimisation
From user impact and tracing to SQL, queues and load tests: a dependable order for performance engineering.
Laravel upgrades without losing control: risk before version speed
A predictable upgrade path for production Laravel applications covering tests, dependencies, data migrations and rollback.