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 2026-08-29
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
Agentic engineering is the discipline of building software with AI agents that plan, write, test and ship code under structured human oversight. It replaces the improvised prompting of vibe coding with specs, gates and orchestration — repeatable workflows instead of lucky sessions.
8 min · updated 2026-08-23
Spec-driven development means writing a reviewed specification before an AI agent touches code: what changes, which files it may touch, and which tests must pass. The agent implements against that contract. It emerged in 2025 as the fix for AI code that drifts from intent.
8 min · updated 2026-08-23
AI-generated code is not secure by default: roughly 44% of code-generation tasks introduce a vulnerability, and model security performance has stagnated while adoption exploded. Safe use means review gates, scanning, least-privilege credentials and tests — not trusting the output.
9 min · updated 2026-08-23
In 2026, about 92% of US developers use AI coding tools daily while only 29% trust the output; roughly 42% of all code is AI-generated or assisted; the largest MCP registry lists over 72,000 servers. Below: sourced industry figures plus original data from 491 hand-analysed open-source projects.
7 min · updated 2026-08-23
A vibe coding starter kit is a repository prepared for AI-assisted development: a working stack, strict types, a test suite and agent instructions (a CLAUDE.md or Cursor rules file) already in place. Starting from one beats a blank prompt because the model inherits structure instead of inventing it.
8 min · updated 2026-08-29
The best GitHub boilerplates in 2026 are template repositories with recent commits, a permissive licence, strict typing and CI already wired in. Judge maintenance and the realism of the auth and payment code — star counts measure history, not health.
7 min · updated 2026-08-29
A SaaS boilerplate ships the undifferentiated parts of a subscription product — auth, billing, teams, email — already working. The strongest free options in 2026 are open source: Vercel's Next.js SaaS Starter, BoxyHQ's enterprise kit, Wasp's Open SaaS, and per-framework equivalents for Django, Laravel and SvelteKit.
9 min · updated 2026-08-29
The shortlist is short: ixartz's Next.js Boilerplate as a strict general-purpose base, create-t3-app for a typed full stack, Vercel's SaaS Starter or BoxyHQ for subscription products, next-forge for a production monorepo, and the official Supabase starter when Supabase is your backend.
8 min · updated 2026-08-29
An AI app builder turns a natural-language description into a working web app — UI, backend and hosting included. Lovable, Bolt, v0 and Replit dominate the hosted category; open-source alternatives such as Dyad and bolt.diy generate the same way but leave you a repository you own.
8 min · updated 2026-08-29
Good vibe coding prompts read like specifications: goal, constraints, files the agent may touch, and how to verify the result. Persistent project instructions — Cursor rules or a CLAUDE.md — outperform one-off clever prompts because they apply to every future request automatically.
7 min · updated 2026-08-29
Analysed projects grouped by what you can build with them.