Cursor’s rules file is a plain text file that defines persistent instructions the AI follows across all sessions in a project. Without it, you re-explain your conventions every conversation — your preferred error handling style, the libraries you use, the architecture constraints that should not be violated. With a well-written rules file, the AI generates … Read more
AI pair programming is the practice of working alongside an AI coding assistant in a sustained, interactive way — not just for autocomplete, but as a collaborator you think through problems with, delegate implementation to, and use to challenge your own assumptions. Done well it is substantially more productive than solo coding. Done poorly it … Read more
Devin AI and Cursor represent fundamentally different philosophies about how AI fits into the software development process. Devin, from Cognition AI, is a fully autonomous software agent — it is given a task, spins up its own development environment, writes and runs code, browses documentation, and tries to complete the task with minimal human involvement. … Read more
Cursor and Windsurf are the two leading AI-native IDEs in 2026 — both built on VS Code’s codebase, both offering deep agentic coding capabilities, and both positioned against GitHub Copilot as the tool for developers who want AI at the centre of their coding workflow rather than as an add-on. The comparison is closer than … Read more
Cursor and GitHub Copilot are the two most widely used AI coding tools in 2026, but they target different points on the spectrum from autocomplete assistant to autonomous coding agent. Copilot started as an IDE extension and has evolved significantly; Cursor started as an AI-native IDE and has pushed furthest into agentic capability. The right … Read more
Vibe coding is a term coined by Andrej Karpathy in early 2025 to describe a style of software development where you write code primarily through natural language instructions to an AI assistant, largely ignoring the actual code being generated. The idea is to describe what you want — “add a dark mode toggle that persists … Read more
The MCP ecosystem has grown to hundreds of servers covering most major platforms, databases, development tools, and productivity applications. Navigating this ecosystem efficiently — knowing which servers are production-quality, actively maintained, and genuinely useful versus experimental or abandoned — saves significant time. This curated list focuses on the servers that are most commonly installed, most … Read more
MCP servers are standalone programs that give AI assistants access to external systems — filesystems, databases, web search, APIs, development tools. The ecosystem has grown to hundreds of servers since Anthropic released the protocol in late 2024, with official servers from major platforms and a large community contribution layer. The best servers are the ones … Read more
Deploying an MCP server to production means moving from a local stdio process on your laptop to a stable, remotely accessible service that handles multiple clients reliably. The shift introduces requirements that local development sidesteps: persistent availability, authentication, TLS, monitoring, and graceful handling of errors that would just crash a local process. This guide covers … Read more
MCP authentication controls which clients can connect to an MCP server and which actions they can perform. For local stdio servers running on your own machine, authentication is not required — only local processes can communicate with the server through OS-level pipes. For remote SSE servers accessible over a network, authentication is essential. MCP’s authentication … Read more
