Which LLM is safe for production? This testing suite measures real failure rates across medical, financial, and code review applications. Complete code included.
Benchmarks test success. Production tests failure. Six critical LLM archetypes destroyed our systems — here's the testing framework that prevents 89% of incidents.
Benchmark scores predicted our LLM would succeed. It failed spectacularly. Here's why 92% vs 89% means nothing and what metrics actually matter in production.
Twelve LLM prompt injection defenses were tested, and all bypassed. Stop relying on perimeter filters. Strip model privileges and design for containment instead.
Sealed Secrets broke at scale. Learn how Vault + External Secrets Operator solved our rotation nightmare with auto-sync, zero Git secrets, and multi-cluster support.
Intelligent caching and model routing reduced our AI API costs from $12,340 to $3,680 per month. Production-tested optimizer. Open source. MIT license.
Stop using default PgBouncer settings. Here's how we handle 10,000+ concurrent connections across 500 tenants with 99% memory reduction and 62% cost savings.
Platform engineering is backward: 80% portal building, 20% path paving. Flip it. Golden paths reach 95% adoption by making the right thing the easiest.
Your Kafka topics are bleeding money. Default retention, universal idempotency checks, and unmanaged DLQs waste 80% of event stream resources without anyone noticing.
Experienced developers experience productivity drops with AI Copilot because verification overhead exceeds the gains from generation speed. Junior developers gain 35%, seniors lose 12%.
Build a semantic code search that understands meaning, not keywords, with AST parsing, embeddings, hybrid search, and LLM-powered documentation generation.
ChatGPT is an architectural component, not a data retrieval tool. Architect inputs, outputs, and integration to leverage ChatGPT's power and mitigate its inherent risks.
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