Latest articles, guides, and updates on technology, trends, and innovations.
North Korean hacker tactics reveal key vulnerabilities in software supply chains. Understanding their techniques helps developers build more resilient and secure systems.
As AI computation costs rise, cheaper models promise savings but come with important tradeoffs. I share practical insights on when it makes sense to use lighter AI models without sacrificing your project's needs.
While excitement around AI, quantum computing, and new cybersecurity threats dominates 2026 discussions, practical implications for developers often get lost. Drawing from recent trend analyses, this piece drills into real-world challenges, tradeoffs, and overlooked pitfalls in adopting these technologies.
Notion’s recent disruption in accessing Anthropic AI highlights real risks when building workflows around external AI APIs. Here’s a breakdown of why handling third-party AI dependencies requires caution, practical mitigation tips, and what it means for developer tooling reliability.
OpenAI's new Lockdown Mode aims to reduce exposure of sensitive data from prompt injection attacks. As a developer, understanding its strengths, limitations, and practical impact helps build safer AI-integrated systems.
Google’s massive $920M monthly spend on compute for AI workloads with SpaceX highlights critical lessons about cloud cost scaling, architecture tradeoffs, and the realities of AI infrastructure for developers.