9 results found

Learn how Mastra-style workspaces and markdown skills (SKILL.md + references) provide structured context for Agentic RAG agents and tools.

This article explores how advances in AI and automation have transformed programming from a required task for software production into an act of creative expression, much like knitting transitioned from necessity to craft. The author discusses the enduring value of foundational development skills and predicts a future where coding by hand is a rewarding choice rather than a job requirement.

This article explores how Codex, given a management token, API key, and precise schema documentation, imported content flawlessly and even built a custom CLI and skill to repeat the process, raising questions about the future relevance of MCP in content operations.

This article challenges the common belief that AI will replace developers, suggesting instead that AI actually increases developers' value by boosting their productivity and exposing inefficiencies in non-technical roles. The real organizational shift is towards reducing layers between problems and code, making developers more essential than ever.

With AI agents capable of generating production-ready clients from well-designed APIs and OpenAPI specs, the traditional necessity of hand-crafted SDKs is being challenged. This article explores the shifting role of SDKs, the benefits of leveraging AI for client generation, and when vendor-maintained SDKs may still hold value.

This article explores the fragmentation of the Model Context Protocol (MCP) in the AI ecosystem, highlighting challenges with context window efficiency, the complexity developers face, and emerging solutions like curated tool subsets and Claude Skills. It offers insights into protocol-layer issues, strategies for improving reliability, and the pragmatic necessity for adaptable system architectures amid ongoing standards wars.

This article discusses how to turn Cursor AI from a simple code-generating tool into a reliable engineering system using explicit rules, structured commands, and real project context, ultimately achieving trustworthy speed and consistency when building SaaS projects.

Discover how Contentstack's security team integrated a local AI assistant into Burp Suite to streamline manual penetration testing. This approach has significantly reduced the time spent on key testing loops, enhancing productivity while keeping testers in control.

This article discusses how AI-driven chat interfaces are poised to replace traditional static web apps by providing dynamic, context-aware user interactions that adapt to individual intent. It explores the evolution of front-end development, challenges facing this transformation, and the changing roles of existing tools and design.