InfoQ - AI, ML & Data Engineering - Articles

Article: Architecting Secure and Scalable Facial Verification Systems

Praveen Kumar Gopalakrishnan — Fri, 18 Sep 2026 09:00:00 GMT

When three thousand employees verify at once, synchronous API calls collapse. This article presents a four-layer architecture for high-volume face verification: client-side filtering that cut cloud costs 30%, decoupled detection and verification enabling 10x scaling, risk-based dynamic thresholds, and zero-trust privacy with consent gates and automated data purging for GDPR and HIPAA.

By Praveen Kumar Gopalakrishnan

Article: Your Next DSL Author Is a Language Model

Irakli Betchvaia — Wed, 16 Sep 2026 11:00:00 GMT

In this article, the author introduces Typed Domain Grounding, an approach to reducing LLM hallucinations in domain-specific languages by embedding them in mainstream typed languages. Using kUML benchmarks and an infrastructure-as-code example, he explores how compiler validation and generate-compile-repair loops can make model-generated DSL output more reliable.

By Irakli Betchvaia

Article: Implementing Durable Workflows on Postgres Without an External Orchestrator

Raman Varma — Mon, 14 Sep 2026 11:00:00 GMT

Postgres can serve as the durable state store and coordination layer for workflows, eliminating the need for an external orchestrator. SKIP LOCKED enables concurrent work processing, primary-key checkpoints enforce idempotency, and leases support crash recovery. Workflow sleeps and human approvals can also be persisted as database state and survive restarts.

By Raman Varma

Article: When Spec-Driven Development Pays off

Nitin Garg — Thu, 10 Sep 2026 09:00:00 GMT

AI coding assistants have become a core part of software development. AI-generated code has shown productivity gains, but it's also contributing to security weaknesses and familiar bug patterns. In this article, author Nitin Garg highlights the bottleneck has moved from code generation to code verification, and how to detect & mitigate it when the AI-generated behavior diverges from the intent.

By Nitin Garg