February 2026 Summaries

In a comprehensive tutorial, Paul Bratslavsky outlines the process of building a custom plugin for Strapi, a headless CMS framework, to integrate Vercel's AI SDK into a Next.js 16 project. The guide details how to centralize AI logic in the backend to maintain security and standardize workflows, providing clean and reusable endpoints for the frontend. The tutorial covers creating a Strapi plugin with modular architecture, setting up non-streaming and streaming AI responses using Server-Sent Events (SSE), and implementing a full conversational interface with message history. It also includes steps to build both backend and frontend components, integrate the AI SDK, and test the implementation with curl and a custom frontend using React hooks. By the end, the tutorial showcases the creation of an extensible AI layer within the architecture and encourages developers to experiment and expand on the basic functionalities demonstrated.

SQLite, while a well-engineered and capable database for certain applications like mobile apps, desktop software, and embedded systems, is not suitable for production Strapi applications due to architectural and operational mismatches. Strapi, a long-running server application, requires a database that can handle concurrent workloads, ensure data integrity, and support reliable backups and recovery, which SQLite struggles with due to its embedded nature and file-based storage system. This results in potential operational risks such as slow requests, timeouts, failed writes, and database corruption, especially in environments with regular restarts or deployments. Additionally, SQLite's permissive data integrity and foreign key constraints can lead to inconsistent data and hidden bugs, making it less reliable for CMS-driven applications where content correctness and uptime are crucial. The recommended approach for production Strapi deployments is to use server-based relational databases like PostgreSQL or MySQL/MariaDB, which are better suited to manage the demands of a production environment. Strapi Cloud offers an easy and managed option for using a production-grade database, reducing operational overhead and allowing teams to focus on content modeling and application logic.

Agent Skills are an open standard for packaging and reusing workflows, domain expertise, and capabilities into portable folders, allowing AI agents to discover and utilize them efficiently. These skills, originally devised by Anthropic, are now an open standard adopted by over 26 platforms, including OpenAI Codex and GitHub Copilot. They address common issues like context window overload, lack of portability, and inconsistency in output by loading only essential information at startup and progressively disclosing more as needed. A skill comprises a folder with a required SKILL.md file containing YAML frontmatter and markdown instructions, and may include optional scripts, references, and assets. This structure allows for repeatable and predictable workflows across different platforms, promoting consistency and efficiency. Skills can be combined with other agent components like MCP servers and subagents to create complex workflows, ensuring that the agent knows how to utilize tools and data effectively. Anthropic's open standard encourages cross-platform portability and community collaboration, with skills available from partners like Atlassian and Zapier, enhancing the versatility and integration of AI systems.

The article by Marco Autiero provides a comprehensive guide on building a Strapi plugin that extends both the admin and backend functionalities of the CMS, with a focus on creating a todo list feature. Strapi, an open-source headless CMS, allows users to define content types, expose them through APIs, and adapt to additional requirements via plugins without extending beyond the CMS. The guide delves into the development process, starting with creating a Strapi project and leveraging the plugin SDK to bootstrap a plugin. Key steps include enabling the plugin, structuring it as an isolated unit for clarity, and developing a content type to store data. The tutorial explains how to create admin-specific routes, implement polymorphic relations for flexible associations, and utilize React Query for efficient data fetching and updates. The plugin ultimately integrates a sidebar component in the Content Manager, allowing users to manage tasks directly from the admin panel. The article emphasizes the importance of keeping customizations within the Strapi ecosystem, facilitating seamless deployment, including on Strapi Cloud, ensuring that the plugin is automatically built and available in production environments.