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Practical guides for building software with AI agents.
MCP integration tutorials, durable context strategies, and real-world workflows to keep your AI-assisted build organized, auditable, and aligned.
How to Connect Claude Code to fanTask via MCP: Step-by-Step Guide
A practical step-by-step tutorial on connecting Anthropic Claude Code to fanTask using Model Context Protocol (MCP). Learn how to configure your MCP server, mint your personal access token, and give your AI agent durable memory.
How to Connect Google Antigravity to fanTask via MCP: Step-by-Step Guide
A practical step-by-step tutorial on connecting Google Antigravity (agy CLI and IDE) to fanTask using Model Context Protocol (MCP). Learn the exact agy CLI registration command, generate access tokens, and equip your agents with persistent memory.
How to Connect Cursor to fanTask via MCP: Step-by-Step Guide
A practical step-by-step tutorial on connecting the Cursor editor to fanTask using Model Context Protocol (MCP). Learn how to configure your mcpServers JSON file, mint access tokens, and ground Cursor Composer with persistent project memory.
From Chaos to System: The Recommended Workflow for Vibe Coding with fanTask
A practical step-by-step guide to a disciplined vibe coding workflow using AI agents and fanTask over MCP. Learn how to prevent amnesia, keep human control, and ship reliably.
Free vs Pro on fanTask: What You Actually Need for Your First Project
An honest, transparent comparison of the Free and Pro plans on fanTask. Learn what the Free tier offers, why it is genuinely enough for your first vibe-coded project, and when upgrading makes sense.
The Story Behind fanTask: How Early User Feedback Shaped the Platform
fanTask started as an internal prototype. Learn how feedback from early developers coding alongside AI agents shaped our core features: persistent AI Context, searchable audit trails, and hybrid human-AI task tracking.
What Is Vibe Coding and How to Start Without Knowing How to Code
A comprehensive guide to the Vibe Coding phenomenon: how to build applications by expressing intent to an AI agent, what realistic expectations to set, and how to prevent decision chaos as your project scales.
How to Build Your Own Website Using an AI Agent — A Beginner's Guide
A step-by-step guide to building a modern website using an AI coding agent. Learn how to choose your tools, formulate specifications, test locally, and publish online without advanced coding knowledge.
The 7 Most Common Mistakes Vibe Coders Make on Their First Project
Going from initial excitement to technical roadblocks? Discover the 7 most frequent vibe coding pitfalls — from missing specifications and blind trust in AI code to security oversights — and actionable solutions to prevent them.
Vibe Coding vs. Traditional Programming: What You Need to Know Before Starting
An objective, candid comparison between vibe coding and traditional software engineering. Learn where AI assistants excel in speed and prototyping, and where traditional engineering judgment remains irreplaceable.
Vibe Coding Glossary: MCP, AI Agents, Context Window, Prompts — Simply Explained
The essential glossary of terms for AI-assisted development. Clear, accessible definitions for MCP, coding agents, context windows, session compaction, tokens, and AI Context.
Why AI Forgets Your Project Context and How to Permanently Solve Session Amnesia
Agreed with your AI agent yesterday on all architectural rules, only for it to reinvent everything from scratch today? Discover why context windows compact critical decisions and how persistent AI Context saves you hours of rework.
How to Keep Your Project on Direction When Working with an AI Agent
Without a durable decision history, an AI agent quickly drifts from your initial vision: reopening settled questions and proposing conflicting changes. Learn how to use the persistent AI Context field to maintain crystal-clear project direction.
Clarity in Project Development: Why You Need a Decision History, Not Just Code
A git diff shows WHAT changed in code, but never WHY. For a solo founder or non-technical vibe coder, losing decision context leads to chaos. Discover how fanTask audit trails and comments keep project memory alive.
Your AI Already Fixed This Bug — But Doesn't Remember (How to Stop Debugging Loops)
Tired of your AI agent solving the exact same problem three times across three different weeks? Discover why agents fall into debugging loops in fresh sessions and how fanTask search_tasks halts the waste of time.
How to Work with Multiple AI Agents (Claude Code, Antigravity, Cursor) on the Same Project Without Chaos
Using Cursor for UI, Claude Code for terminal tasks, and Antigravity for architecture? Here is how to unify your workflow and prevent context collisions using fanTask as a shared MCP bridge.
From Idea to Launch: How to Keep a Vibe-Coded Project Organized from the First Line of Code
How to turn an idea into a functional application without getting lost in the chaos of AI-generated code. Discover how a task board and day-one AI Context ensure a successful launch.
Scope Creep in Vibe Coding: How to Prevent Your Project from Spiraling Out of Control
When adding a new feature is temptingly easy with AI, projects quickly grow complicated and risk abandonment. Discover how a task board and living AI Context stop scope drift.
Transparency and Traceability: Why You Need to Know Exactly What the AI Changed and Why
When an AI agent touches dozens of files in seconds, a lack of visibility erodes confidence in your own product. Discover how an audit trail and task history in fanTask restore full control.
A Day of Vibe Coding: Organized vs. Chaotic — How to Turn AI Speed into Real Progress
Discover the tangible difference between a chaotic day of vibe coding (no task board, recurring amnesia, and lost decisions) and a structured day with fanTask, where the agent reads persistent AI Context on every boot.
Why Solo Founders Building with AI Need a Project Management Co-pilot, Not Just a Coding Agent
Code generation has become accessible to everyone, but building a viable product demands direction, decision memory, and discipline. Discover why solo and non-technical founders need a dedicated AI-native project management system like fanTask.
The Non-Technical Guide: How to Talk to Your AI Dev Team Like a Product Manager
Can't write code, but want to build an application with AI? Learn to think like an elite Product Manager: from acceptance criteria to a shared backlog in fanTask.
Vibe Coding for Romanian Entrepreneurs: How to Launch an MVP Without a Tech Team
A practical guide for non-technical Romanian entrepreneurs: how to define a realistic scope for your first AI-assisted MVP, avoid common traps, and stay in control with a lightweight project management layer without reading code.
How Much Does It Cost to Build a Product with AI in 2026 — and Where Project Management Fits In
A realistic and honest cost breakdown for developing software with AI assistance in 2026: coding tool subscriptions, hosting infrastructure, and why the true hidden cost isn't the tooling, but the chaos and wasted hours of building without project structure.
Freelancers and AI: How to Deliver Client Projects Without Losing Control
A guide for freelancers building client projects with AI coding agents: how to strictly separate technical contexts and architectural decisions between different clients, avoid cross-project convention leaks, and provide complete transparency through an audit trail.
Why Small Dev Teams Are Adopting AI-First Project Management
Traditional project management tools were built exclusively for human teams. Learn why agile small teams collaborating with AI coding agents are switching to AI-first solutions natively powered by Model Context Protocol.
Best Practices for Code Review When Half Your Code Is Written by AI
A practical code review guide for the AI coding era: why generated code must be inspected as diligently as work from a junior developer, how to verify real test execution, and how fanTask's structured audit trail provides the architectural decision context behind every diff.