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.
A practical engineering guide to integrating an AI chatbot into your application, covering architecture, backend flow, NLP handling, security, testing, and deployment.
Explore Google Gemini 3 API’s architecture, native multimodality, and agentic workflows with a hands-on guide to building a production-ready multimodal AI.
Permission-aware retrieval ensures that the assistant uses only allowed information. A context graph enforces access control to prevent cross-team leakage.
A clear-eyed breakdown of serverless costs — why they’re hidden, when they make sense, and how to choose between functions and containers before surprises hit your bill.
Jakarta EE 12 aligns repositories, restrictions, queries, ORM, and NoSQL into a unified data model, making domain-centric data access a first-class platform feature.
MCP is production-ready for LLM-to-tool integration; A2A enables emerging multi-agent collaboration. They complement, not compete, and neither replaces Spark or Airflow.
Single sign-on plays an important role in enhancing the security of your application. Let's deep dive into implementing SSO in an Angular-based web application.
This article discusses how to build a lightweight, distributed task queue using Python asyncio and Redis as a simpler alternative to Celery for I/O-bound workloads.
Testcontainers enables realistic integration testing with broad language support while balancing fidelity, performance, and nuanced adoption strategies.
In this article, I want to take a closer look at the pitfalls of popular SaaS scaling strategies, drawing on my own experience, and share the lessons learned.