Articles

The DeepSeek-R1 project is pushing the boundaries of AI development with a massive $294K training run and a commitment to radical transparency. By making its playbook open-source, the project is changing the way AI is developed and shared.

Choosing the right DeepSeek Model for your hardware can be challenging, especially when it comes to VRAM sizing. This guide provides a comprehensive overview of GPU requirements and VRAM capacity to help you make an informed decision.

Stay ahead of the curve with our in-depth guide to DeepSeek R2, covering everything developers need to know before the August release.

Discover how to route DeepSeek-V4 through Claude code for local agentic coding. This guide covers practical implementation details to help you get started.

Automating code review with DeepSeek in GitHub Actions can significantly improve your development workflow by reducing manual review time and increasing code quality.

In this book, you'll learn how to build a production-ready DevSecOps platform by transforming a fintech transaction ledger into a secure and scalable application on AWS. You'll cover topics such as security gates, admission control, secrets management, runtime security, and observability.

Learn how to leverage DeepSeek-R1's advanced AI capabilities to tackle challenging debugging tasks, including React race conditions, async Node.js bugs, and complex state mutations.

Discover the ultimate guide to deploying and optimizing DeepSeek V3 for local AI in 2026. Learn how to configure local inference, build a Node.js/React full-stack AI app, and reduce AI costs by 80%.

Chain-of-thought debugging is a revolutionary approach to debugging that involves allowing AI to think through bugs step-by-step. In this article, we'll delve into the world of DeepSeek-R1 and learn when to let AI take the reins.

Despite being a W3C Community Group Draft, WebMCP has seen zero adoption among top websites, prompting the author to implement it on two sites and share their findings.

Deep GraphQL queries can cause performance issues and denial-of-service scenarios. graphql-safe-depth is a solution that limits execution depth, making it a simple and predictable way to prevent deep queries.

Despite being considered 'mature', some of the world's top companies are still experiencing the same production incidents that cost millions. A closer look at outage reports reveals common mistakes and areas for improvement.