Articles

Canopy Network is transforming the way blockchain projects are developed and launched by integrating AI-powered coding with an engaging rewards system.

Apache Airflow is a workflow orchestration platform that allows you to define, schedule, and monitor complex data pipelines as code using Python to define Directed Acyclic Graphs (DAGs).

In this article, we'll explore the concept of lazy initialization in API clients and why it happens even when you don't explicitly call it. We'll also discuss the implications of this behavior and how to handle it effectively.

Anthropic has accepted Databasus into their Claude for Open Source program, highlighting its value as a widely used PostgreSQL backup tool.

Product teams can streamline their AI prototyping process with the right tools. In this article, we compare the top AI prototyping tools, including Miro, Figma, and UXPilot, to help you choose the best fit for your project.

Artificial intelligence has revolutionized the way developers and professionals work, enabling them to focus on high-value tasks and automate repetitive work. In this article, we'll explore the top AI productivity tools that can help you improve your productivity and efficiency.

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%.

AI-driven UX design has become increasingly popular, but it often prioritizes aesthetics over functionality and user needs.

Hardcoding settings, themes, and routes inside components does not scale. The author uses JSON-based configuration to simplify their codebase and improve maintainability in Next.js applications.

Airlock offers a secure way to run untrusted code by creating a disposable, hardened sandbox. This allows for safe npm installs and other operations without compromising the main system.

AI wrote the code in minutes, but fixing its mistakes took days. This article shares the author's experience of using AI in software development and the lessons learned along the way.

Standard product experiments answer a binary question about average efficacy, but uplift modeling turns that binary into a nuanced spectrum, estimating a conditional average treatment effect for each user based on their specific features.