Colin Breck's framework shows why order-of-magnitude performance gains routinely produce no behavioral change — and what to do instead.
A single personal ID was all it took to inject content across FIFA's entire World Cup infrastructure — a case study in IDOR and access control failure.
AI hallucinations aren't a trust problem — they're a design problem. Here's how GraphRAG and MCP reshape what AI can reliably do in production codebases.
Hallucination isn't a bug in LLMs—it's the mechanism. The real problem is misallocating non-determinism in your system design.
How a CS student built a Rust-based sync engine by simulating 2G constraints for rural clinics, revealing critical lessons for offline-first architecture.
Uber processes millions of location queries per second. Here's how H3's hexagonal grid system solves proximity search at global scale where traditional approaches fail.
A deep dive into the architecture, cost tradeoffs, and failure modes of scaling LLM-powered agent pipelines in production environments.
As AI agents write more production code, should programming languages optimize for machine readability over developer experience? A provocative Dev.to post argues yes.
Production AI systems fail not from bad models, but from the overlooked orchestration layer between prompts, tools, and state. Here's how to build it right.
AI agents don't follow request-response patterns. Here's how agentic workflows challenge traditional microservice architecture and what it means for your stack.