Practical write-ups on building with AI in 2026 — what actually speeds up, where the workflow breaks, and how to choose an open-source project worth building your system on.
Vibe coding is writing software by describing intent in natural language and letting an AI model generate, edit and run the code. You steer outcomes instead of typing lines. The term comes from Andrej Karpathy and became mainstream in 2025.
8 min · updated 2026-08-01
The best AI project ideas in 2026 sit where a real workflow is still manual and an open-source component already solves the hard part. Start from an existing repository, not a blank page: it gives you a working architecture, a readable licence and known edge cases.
9 min · updated 2026-08-01
Building systems with AI means treating the model as a fast implementer, not an architect. You write the specification, define the boundaries it may touch, and gate every change behind tests. Generation is the cheap step; specification and verification are the work.
8 min · updated 2026-08-01
Choosing an open-source AI agent to build on comes down to four checks: a licence that permits your commercial plan, an architecture you can actually read, recent and non-solo maintenance, and a tool interface you can extend without forking. Stars answer none of these.
7 min · updated 2026-08-01
An MCP server exposes a system's data and actions over the Model Context Protocol, so any compatible AI client can use it without a custom integration. It is the difference between building one connector per assistant and building one connector, once.
7 min · updated 2026-08-01
Analysed projects grouped by what you can build with them.