Data Engineering - 10 min read
Designing Reliable Python Data Pipelines
A practical engineering guide to idempotency, validation, retries, observability and testing in Python data pipelines.
JEARD LabsSoftware · AI · Data · Infrastructure
Technical writing grounded in systems we actually build.
Notes on software reliability, data systems, applied AI and production engineering.
Software Engineering - 9 min read
Production-Ready APIs: Reliability Before Scale
What makes an API production-ready: contracts, authorization, failure handling, idempotency, observability, testing and capacity thinking.
Applied AI - 8 min read
When AI Belongs in a Product
A practical framework for deciding when an AI feature is justified, how to evaluate it and how to engineer around probabilistic failure.