Work from Builder.io

We tested Perplexity Computer. Discover why its cloud-based, multi-model AI agent excels at generalist workflows but falls short for web development.

Every way to run Claude Code from your phone—SSH, Remote Control, third-party apps, and cloud agents—with the trade-offs of each approach.

Discover how designers can use Claude Code and Figma to iterate faster, build higher-fidelity UI, and safely ship changes without breaking production.

Multi-agent coding workflows promise speed, but shared state causes collisions. Learn practical fixes and why isolation plus orchestration matters.

MCP Apps is MCP's official UI extension. Learn the mental model for MCP servers and hosts, where it fits, the gotchas, and the security tradeoffs in practice.

Subagents let you delegate to specialists with clean contexts. Learn when to use them in agentic IDEs, how patterns differ, and what guardrails prevent chaos

A practical guide to Lovable alternatives, with a comparison table and decision framework, for prototypes that need to grow up fast.

Agent skills, rules, and commands offer different, strategic context for AI agents. Here’s when to use each and how to optimize them for production.

Is Anthropic's polished CLI better than the open-source alternative? We compare features, the OAuth drama, and why visual context is the missing piece.

Is Cursor’s design mode a Figma killer? Here’s how it works, where it falls short for non-developers and on source mapping, and how to let designers edit code.

AI tools are everywhere, but trust is falling. Learn how engineers become orchestrators in 2026, choosing which agents to scaffold, ship, and maintain.

Discover the best MCP servers for devs in 2026 to code, ship, and automate safely with powerful, standardized tooling. Turn AI agents into real assistants.

Cursor redefined AI coding, but it’s no longer alone. Explore the best Cursor alternatives in 2026 for agents, speed, pricing, control, and workflows.

AI prototyping helps teams align faster with real data, mergeable code, and workflows that turn early ideas into production-ready progress.

Discover the best VS Code extensions for 2026 to boost productivity, code quality, and collaboration with faster, smarter tools for every developer.

Agentic IDEs are evolving fast. Explore the leading tools reshaping code editors into teammates, from Cloud sandboxes to editor-embedded agents.

Create and deploy a full-stack voting board app with AI. Fusion for UI, Supabase for auth and data, Netlify for hosting.

Discover five powerful ways to use the Supabase MCP server with Fusion to create dynamic, AI-powered web apps. No coding required. Fast setup, easy workflow.

Why most AI design tools disappoint, and how designers can get better, brand-consistent results by working visually, in code, and with smart component reuse.

A designer-friendly guide to git branching, merging, and pull requests, all explained with relatable Figma examples and visuals. Experiment with confidence.

Designers can ship UI changes without engineering handoffs. With Fusion, visually edit your live site, use real tokens and components, and make PR‑ready diffs.

Production-grade AI prototyping with Fusion: connect your repo, use real components, iterate in multiplayer, and ship PR-ready code. No throwaway demos.

AI features are unpredictable and traditional tests fall short. Evals, automated checks for AI behavior, help you prevent regressions and measure success.

Learn how AI transforms test-driven development (TDD) from a time-consuming chore into your secret weapon for building robust and bug-free applications.

AI hasn't replaced developers; it's promoted them to architects. Learn how to review AI-generated code and use tools that create review-friendly diffs.

Turn Figma designs into code using the official MCP server. Skip screenshot guesswork and let AI access structured design data directly through Figma's API.

MCP clients let AI agents connect to your tools, but most are either chat-only or IDE-only. Fusion bridges design and dev workflows.

Learn how to create a website mockup in minutes using AI-assisted tools. This guide walks through building a bakery site from concept to working prototype.

AI tools often generate quick but messy code. Let's examine how AI can integrate with professional workflows to be productive without sacrificing quality.

The Agent2Agent (A2A) Protocol enables AI agents to collaborate across networks, streamlining discovery, authentication, and data exchange.

Fine-tuning LLMs can save tokens, guarantee output formats, & bake in edge-case fixes. Learn when to fine-tune & how to do it effectively for your AI projects.

Learn to build a Model Context Protocol (MCP) server for AI assistants. This tutorial covers creating tools, resources, and prompts for a CSS tutor example.

Web developers' skills in system design and API integration are key for building effective AI agent systems. Learn about core concepts and common patterns.

MCP aims to standardize AI tool integration, potentially simplifying development and enabling more capable AI assistants. Current adoption is limited.

AI agents use models, loops, memory, and tools to automate complex tasks. Learn how they work, their evolution, and their practical uses and limitations.