# BrainGrid

> BrainGrid is the AI Product Planner that helps builders turn rough ideas into engineering-grade tasks their AI coding tools can build right the first time. Plan, build, verify, repeat.

**BrainGrid is closed to new signups. New customers start on Plansmith (https://www.plansmith.co), built by the same team: an enterprise-grade planning platform for non-technical users who need to deliver complex projects. It interviews you, produces build-ready Specs and clickable prototypes, and pushes issues into Linear, Jira, Asana, or Radial. Existing BrainGrid customers keep their accounts and sign in at https://app.braingrid.ai as before.**

BrainGrid works with any tool that supports MCP (Model Context Protocol) — including Claude Code, Cursor, Windsurf, OpenAI Codex, Google Gemini, and Lovable. This file curates the site's key content for LLMs and agents. Most content pages also expose raw markdown at the same URL with a `.md` suffix.

## Core Pages

- [Home](https://www.braingrid.ai/index.md): BrainGrid overview — plan, build, verify, repeat.
- [Agentic Engineering](https://www.braingrid.ai/agentic-engineering.md): The workflow that makes AI coding work — The BrainGrid Loop: Frame, Spec, Scope, Load, Verify.
- [Spec-Driven Development](https://www.braingrid.ai/spec-driven-development.md): Plan once, build right — write the spec first, let your coding agent build against it.
- [AI PRD Generator](https://www.braingrid.ai/ai-prd-generator.md): From rough idea to build-ready requirements with acceptance criteria and tasks.
- [Vibe Coding Tools](https://www.braingrid.ai/vibe-coding-tools.md): Honest guide to Lovable, Bolt, Replit, v0, Base44, Cursor, and Claude Code.
- [AI Coding Agents](https://www.braingrid.ai/ai-coding-agents.md): How coding agents work and how BrainGrid loads every one of them.
- [The BrainGrid Loop](https://www.braingrid.ai/loop.md): The named method — Frame, Spec, Scope, Load, Verify.
- [Context Engineering](https://www.braingrid.ai/context-engineering.md): Feed your agent facts, not guesses — a spec is engineered context.
- [AI for Product Managers](https://www.braingrid.ai/ai-for-product-managers.md): Turn roadmap items into requirements, then into pull requests.
- [BrainGrid vs Spec Kit](https://www.braingrid.ai/braingrid-vs-spec-kit.md): Honest comparison of two takes on spec-driven development.
- [Pricing](https://www.braingrid.ai/pricing.md): Plansmith plans — Solo $50/mo per user, Team $200/mo per user, Enterprise on request. No free tier; cancel anytime.
- [Signup](https://www.braingrid.ai/signup.md): Why BrainGrid is now Plansmith, and where to start.
- [Community](https://www.braingrid.ai/community.md): Free Slack community for AI builders.
- [Blog](https://www.braingrid.ai/blog): AI coding, product planning, and developer productivity.
- [Brand Guidelines](https://www.braingrid.ai/brand.md): Logos, colors, typography, and voice.
- [Talk to a Human](https://www.braingrid.ai/talk-to-a-human.md): Contact the BrainGrid team.

## Resources

- [Documentation](https://docs.braingrid.ai): Product docs and guides.
- [RSS Feed](https://www.braingrid.ai/feed.xml): Latest blog posts.
- [Sitemap](https://www.braingrid.ai/sitemap.xml): Full URL index.
- [llms-full.txt](https://www.braingrid.ai/llms-full.txt): Full markdown of all blog posts and legal docs.

## Blog

- [The Best Spec-Driven Development Tools in 2026 (Tested & Compared)](https://www.braingrid.ai/blog/spec-driven-development-tools.md): A field guide to spec-driven development tools: Spec Kit, OpenSpec, Kiro, BMAD, and BrainGrid. What each one actually does, and how to pick the right one.
- [How to Verify AI-Generated Code (Before It Breaks Production)](https://www.braingrid.ai/blog/how-to-verify-ai-generated-code.md): A practical guide to verifying AI-generated code: the checks that catch what the agent quietly broke, and why 'it runs' is not the same as 'it's done.'
- [EARS Notation, Explained: The Requirements Syntax Behind Every AI Spec](https://www.braingrid.ai/blog/ears-notation.md): EARS notation is the Easy Approach to Requirements Syntax: a five-pattern template for writing requirements an AI agent can actually verify. How it works.
- [What Is a CLAUDE.md File? The One Anthropic's Own Docs Tell You to Keep Short](https://www.braingrid.ai/blog/what-is-a-claude-md-file.md): What a CLAUDE.md file is, what goes inside it, whether to commit it, and the one thing it was never meant to be: your product's record.
- [What Is AI-Native Development? (And Why "Disposable Software" Is Only Half True)](https://www.braingrid.ai/blog/ai-native-development.md): AI-native development means building software assuming the agent writes most of it. An honest definition, and why disposable software is only half true.
- [What Is an Agent Loop? The Reason-Act-Observe Cycle, Explained](https://www.braingrid.ai/blog/what-is-an-agent-loop.md): An agent loop is the reason, act, observe cycle that turns a chatbot into an agent. What each step does, when it stops, and the one input it can't supply itself.
- [What Is a System Prompt? Where Your Durable Instructions Actually Belong](https://www.braingrid.ai/blog/what-is-a-system-prompt.md): A system prompt sets how your AI agent behaves. Learn what it is, how it differs from a user prompt, what belongs in it, and where your product's real requirements should live instead.
- [The Illusion of Completeness: Why Your AI Demo Feels Done and Isn't](https://www.braingrid.ai/blog/illusion-of-completeness-ai-demo.md): Your AI-built demo looks finished, so why are you scared to ship it? The gap between a prototype that runs and a product that works, and how to close it.
- [Architecture Decision Records for AI Coding Agents: Where the Why Lives](https://www.braingrid.ai/blog/architecture-decision-records-for-ai-coding-agents.md): An architecture decision record captures why you chose an approach. For AI coding agents that forget between sessions, the ADR is the one artifact that survives.
- [The Slot Machine Trap: Why AI Coding Burns You Out (and Ships Nothing)](https://www.braingrid.ai/blog/slot-machine-trap-ai-coding-burnout.md): Vibe coding problems get blamed on bad code. The real one is a loop that never converges. Why AI coding burns you out, and how to stop pulling the lever.
- [UAT for Solo Builders: Why Your Own Test Accounts Pass Every Check](https://www.braingrid.ai/blog/uat-for-solo-builders.md): UAT assumes a tester who isn't the builder. When you're the whole QA department, your own accounts pass every check. Here's the solo-builder version that works.
- [Requirements Management for AI Builders (Without the Enterprise Baggage)](https://www.braingrid.ai/blog/requirements-management-for-ai-builders.md): Requirements management used to mean a heavyweight enterprise tool. For AI builders, it's the plan your agent builds against. Here's the version that fits.
- [Vibe Coding vs Agentic Coding: Which One Actually Ships?](https://www.braingrid.ai/blog/vibe-coding-vs-agentic-coding.md): Vibe coding vs agentic coding is not a fight about autonomy or tooling. It is about who owns the definition of done. Here is where the line really falls.
- [What Is a Merge Conflict? The Non-Engineer's Fix When Your AI Agent Gets Stuck](https://www.braingrid.ai/blog/what-is-a-merge-conflict.md): Your AI agent hit a merge conflict and stopped. What a merge conflict is in plain English, why agents cause more of them, and how to fix one without editing code.
- [Why We Made Our Agent Ask Questions Before It Builds](https://www.braingrid.ai/blog/why-we-made-our-agent-ask-questions.md): The best AI coding agent isn't the one that builds fastest from your prompt. It's the one that asks the questions you didn't think to answer, before it builds.
- [Agent Orchestration for Builders: When One Agent Isn't Enough](https://www.braingrid.ai/blog/agent-orchestration-for-builders.md): Agent orchestration coordinates multiple AI agents toward one goal. What it is, the four patterns that matter, and the input no orchestrator can generate for you.
- [Why Reviewing AI Code Costs More Than Writing It](https://www.braingrid.ai/blog/why-reviewing-ai-code-costs-more-than-writing-it.md): Reviewing AI generated code often takes longer than writing it yourself. Here is why the review tax is real, and how to move that time earlier instead of paying it twice.
- [What Is an Agent Flywheel? Why Most Spin Fast and Compound Nothing](https://www.braingrid.ai/blog/agent-flywheel.md): An agent flywheel is a loop where every pass makes the next one easier. Here's what makes one actually compound, and why most just spin fast and accumulate nothing.
- [The Three Artifacts That Actually Matter: Requirements, Acceptance Tests, Code](https://www.braingrid.ai/blog/three-artifacts-requirements-acceptance-tests-code.md): Requirements, acceptance tests, and code are the only three artifacts that carry signal in an AI build. Why acceptance tests are the one most builders skip.
- [The Real Cost of a Vague Prompt (In Tokens, Credits, and Afternoons)](https://www.braingrid.ai/blog/the-real-cost-of-a-vague-prompt.md): The real cost of AI coding is not the token price. A vague prompt gets re-run, reviewed, and reworked. Here is where the money goes, and how a plan cuts it.
- [Claude Code vs Cursor vs Codex vs Gemini: The 2026 Agent Comparison](https://www.braingrid.ai/blog/claude-code-vs-cursor-vs-codex-vs-gemini.md): An honest comparison of the four major AI coding agents in 2026, and the uncomfortable finding underneath the benchmarks: the agent you pick matters less than what you hand it.
- [Skills, Hooks, and Subagents: Assembling Your First Agent Loop in Claude Code](https://www.braingrid.ai/blog/skills-hooks-subagents-first-agent-loop.md): What Claude Code hooks, skills, and subagents do, how they assemble into an agent loop, and the one thing all three cannot give the loop: a definition of done.
- [Webhook vs API: What Your Agent Wired Up When It Added a Webhook](https://www.braingrid.ai/blog/webhook-vs-api.md): Webhook vs API in plain language for AI builders: an API is a door you knock on to pull data, a webhook is one another service knocks on to push it, plus the check your agent skipped.
- [What Is an API Gateway? The Front Door Your AI Agent Built for a Backend You Didn't Design](https://www.braingrid.ai/blog/what-is-an-api-gateway.md): What is an API gateway, in plain language for AI builders: the single front door your coding agent wired up, what it enforces, and why those rules are criteria you specify.
- [AGENTS.md, Explained: The README Your Coding Agent Actually Reads](https://www.braingrid.ai/blog/agents-md-explained.md): What is AGENTS.md, in plain language: the standard file that tells your AI coding agent how your project works, what belongs in it, what does not, and where it quietly falls short.
- [What Is an API Contract? The Agreement That Keeps Your AI Agent From Breaking Its Own Codebase](https://www.braingrid.ai/blog/what-is-an-api-contract.md): What is an API contract, in plain language for AI builders: the written agreement between two parts of your app, and why it is the boundary that keeps your agent from breaking things as your codebase grows.
- [The 8 Questions to Answer Before Your AI Agent Writes a Line of Code](https://www.braingrid.ai/blog/8-questions-before-your-agent-writes-code.md): What to plan before building an app with AI: the eight questions that decide whether your agent ships a product or a mess you can't trust.
- [Context Rot: Why Your AI Agent Gets Dumber the Longer It Runs](https://www.braingrid.ai/blog/context-rot.md): Context rot is why AI coding agents forget files and break working code as sessions grow. What causes it, why bigger windows don't fix it, and how to stop it.
- [Agentic Engineering vs Vibe Coding: The Line Is the Plan, Not the Vocabulary](https://www.braingrid.ai/blog/agentic-engineering-vs-vibe-coding.md): Agentic engineering vs vibe coding isn't about the tool you use. The real difference is whether a reviewable plan and a gate existed before the agent ran.
- [The Best Code Review Skill Is the One You Never Have to Run](https://www.braingrid.ai/blog/best-code-review-skill-review-against-a-standard.md): Everyone is installing code review skills for their AI agent. The best code review skill is a standard you set before the build, not a checker you run after.
- [What Is an API Endpoint? The Door Your Agent Built Into Your App](https://www.braingrid.ai/blog/what-is-an-api-endpoint.md): What is an API endpoint, in plain language for AI builders: the public door your coding agent added, who is allowed through it, and why that is a criterion you specify.
- [What Is Row-Level Security? The Auth Hole in Your Vibe-Coded App That Isn't a Code Bug](https://www.braingrid.ai/blog/what-is-row-level-security-for-vibe-coders.md): What is row level security, in plain language for vibe coders: the Supabase auth hole that leaks other users' data is a missing access criterion, not a code bug.
- [Vibe Coding Security: The Holes Aren't in the Code, They're in the Spec](https://www.braingrid.ai/blog/vibe-coding-security.md): Vibe coding security fails because the common holes, missing auth, no row-level security, hardcoded secrets, are unspecified acceptance criteria, not scanner findings.
- [How to Vibe Code the Right Way: Plan First, Then Let It Rip](https://www.braingrid.ai/blog/how-to-vibe-code-the-right-way.md): How to vibe code without the three-month mess: plan the feature first, then let the agent build. A practical method that keeps the speed and loses the debt.
- [The Fallback Trap: When Defensive AI Code Hides a Broken App](https://www.braingrid.ai/blog/the-fallback-trap.md): Defensive programming should make software safer. When an AI agent does it, fallbacks often hide a broken state so the app looks healthy while doing the wrong thing.
- [OpenSpec vs Spec Kit vs BrainGrid: The Honest Decision Map](https://www.braingrid.ai/blog/openspec-vs-spec-kit-vs-braingrid.md): OpenSpec vs Spec Kit vs BrainGrid: a straight decision map for choosing a spec-driven development tool, and the one question that actually decides it.
- [Human in the Loop vs On the Loop: Where You Belong When Agents Build](https://www.braingrid.ai/blog/human-in-the-loop-vs-on-the-loop.md): Human in the loop vs on the loop, explained for AI builders: what each posture means, when to use which, and the one thing that lets you move from in to on.
- [Software Development Methodologies in the AI Era: Where Spec-Driven Fits](https://www.braingrid.ai/blog/software-development-methodologies-ai-era.md): A field guide to software development methodologies, from Waterfall and Agile to spec-driven development, and where spec-driven fits in the AI era.
- [OpenSpec vs Spec Kit vs SuperPowers: Stop Shopping for the Right SDD Tool](https://www.braingrid.ai/blog/stop-shopping-for-spec-driven-development-tools.md): Confused by OpenSpec, Spec Kit, and SuperPowers? The spec-driven development tool matters far less than the shared practice underneath all three.
- [Definition of Done for AI Builders: The Quality Bar Every Agent Build Must Clear](https://www.braingrid.ai/blog/definition-of-done-for-ai-builders.md): A definition of done is the standing quality bar every feature must clear. Why AI builders need one, how it differs from acceptance criteria, and what goes in it.
- [GitHub Spec Kit Tutorial: Spec-Driven Development in an Existing Project](https://www.braingrid.ai/blog/github-spec-kit-tutorial-existing-project.md): A practical GitHub Spec Kit tutorial for an existing codebase: the six commands, a real constitution, and the point where Spec Kit stops and you take over.
- [Is Vibe Coding Good? An Honest Answer (Great Start, Bad Finish)](https://www.braingrid.ai/blog/is-vibe-coding-good.md): Is vibe coding good? Yes, for getting started. The honest answer is that it is a great start and a bad finish, and here is exactly where the line falls.
- [Every Software Factory Needs a Planning Floor](https://www.braingrid.ai/blog/every-software-factory-needs-a-planning-floor.md): A software factory automates the line that turns intent into shipped code. The part nobody automates is where intent gets made precise. That floor decides everything downstream.
- [The Four Pillars of Context Engineering: Write, Select, Compress, Isolate](https://www.braingrid.ai/blog/four-pillars-of-context-engineering.md): The four pillars of context engineering, Write, Select, Compress, Isolate, explained for builders who ship with coding agents, plus the one pillar everyone skips.
- [The AI Coding Workflow That Ships One Feature: Idea to Merged PR](https://www.braingrid.ai/blog/ai-coding-workflow-idea-to-merged-pr.md): A real AI coding workflow that takes one feature from idea to a merged pull request, and the one piece that makes it work when you can't read the code.
- [Why Your AI Agent Keeps Breaking Things That Worked](https://www.braingrid.ai/blog/why-ai-keeps-breaking-things-that-worked.md): Your AI coding agent keeps breaking features that already worked. Here is why it happens, and the one habit that stops the regressions for good.
- [The Verification Gap: Code Got Cheap, Trust Didn't](https://www.braingrid.ai/blog/verification-gap.md): The verification gap is the distance between code an AI can generate and code you can actually trust. Here is why it is widening and how to close it.
- [Kiro vs BrainGrid: Two Takes on Spec-Driven Development](https://www.braingrid.ai/blog/kiro-vs-braingrid-spec-driven-development.md): Kiro spec-driven development bakes specs into an AI IDE. BrainGrid puts them upstream of any agent. An honest comparison of where each one fits.
- [Claude Code Memory: The State File Pattern (and Where It Falls Short)](https://www.braingrid.ai/blog/claude-code-memory-state-file-pattern.md): How Claude Code memory actually works, why auto memory goes stale, and the state file pattern that gives your coding agent durable context across sessions.
- [AI Task Management for Builders Who Ship With Agents](https://www.braingrid.ai/blog/ai-task-management-for-builders-who-ship-with-agents.md): AI task management isn't a smarter to-do list. For builders shipping with coding agents, it's the work queue that turns a plan into tasks an agent can verify.
- [Structured Prompting Is Just a Spec You Haven't Written Yet](https://www.braingrid.ai/blog/structured-prompting-is-just-a-spec.md): Structured prompting organizes a prompt into role, context, task, constraints, and output. Every one of those is a piece of a spec. Here is what that means.
- [What Is a Pull Request? A Non-Engineer's Guide to Reviewing AI Code](https://www.braingrid.ai/blog/what-is-a-pull-request-non-engineer-guide.md): Your AI agent just opened a pull request. What a pull request is, and how to review one and decide whether to merge when you don't read code.
- [How to Write Acceptance Criteria an AI Agent Can Actually Verify](https://www.braingrid.ai/blog/how-to-write-acceptance-criteria-ai-agent-can-verify.md): Acceptance criteria define when a feature is done. How to write them specific and testable enough that an AI coding agent can verify its own work.
- [What Is an Agentic Workflow? (With Real Examples)](https://www.braingrid.ai/blog/what-is-an-agentic-workflow.md): An agentic workflow lets an AI agent plan, act, and check its own work toward a goal. What that means, real examples, and the one piece most builders skip.
- [Product Factory vs Software Factory: Which One Are You Building?](https://www.braingrid.ai/blog/product-factory-vs-software-factory.md): A software factory ships code faster. A product factory ships products you can trust. Here is the difference, and why it decides whether speed helps you.
- [You Exported Your Lovable Project. Now What?](https://www.braingrid.ai/blog/you-exported-your-lovable-project-now-what.md): You exported your Lovable project to GitHub, now what? Here is what to do next so you keep shipping features instead of rebuilding the same vibe-coded mess.
- [Agentic Coding: How to Start When You Don't Have a CS Degree](https://www.braingrid.ai/blog/agentic-coding.md): Agentic coding lets AI agents plan, write, and test code on their own. How to start without a CS degree, and the trap that strands most beginners.
- [Harness Engineering, Explained: What Separates Top Agentic Engineers](https://www.braingrid.ai/blog/harness-engineering.md): What harness engineering is, who coined it, and the one input a harness cannot generate. The practice behind reliable AI coding agents, explained.
- [What Is Loop Engineering? Stop Prompting, Start Designing Loops](https://www.braingrid.ai/blog/loop-engineering.md): Loop engineering means designing the system that prompts your AI agent instead of prompting it yourself. What it solves, the one job it hands back, and why specs matter.
- [Claude Pro vs Team vs Max: Which Plan Do You Actually Need in 2026?](https://www.braingrid.ai/blog/claude-pro-vs-team-vs-max.md): Claude Pro vs Team vs Max compared with current prices: Pro $20, Max $100 to $200, Team seats from $20. Pick your plan by agent workload, not team size.
- [Setting Product Priorities With GOD: Goals, Objectives, and Deliverables](https://www.braingrid.ai/blog/setting-product-priorities-with-god.md): A framework for effective product priorities at the speed of AI
- [Throwback Thursday — I Asked BrainGrid to Rebuild an Iconic 2010s Video Chat App in an Afternoon. It Did.](https://www.braingrid.ai/blog/built-with-braingrid-pulse-vibe-coders.md): No bootcamp, no engineering team. Just one paragraph typed into BrainGrid — and a 90-second video chat app that boots, signs you in, matches you with a stranger, and ships to a real URL.
- [9 Best Claude Code Alternatives in 2026 (Tested & Compared)](https://www.braingrid.ai/blog/claude-code-alternatives.md): Claude Code too expensive or too complex? We tested 8 alternatives — from free open-source CLIs to full AI builders. Here's which one fits your workflow.
- [Context Engineering Is What You're Actually Doing (You Just Don't Know It Yet)](https://www.braingrid.ai/blog/context-engineering.md): Prompt engineering had its moment. The real skill is context engineering — controlling everything your AI agent knows before it writes a single line of code.
- [BrainGrid Raises $1M Pre-Seed to Bring the First AI Product Planner to Non-Technical Builders](https://www.braingrid.ai/blog/braingrid-raises-1m-pre-seed.md): BrainGrid has raised a $1M pre-seed round led by Menlo Ventures to make it possible for anyone with an idea to turn it into a real product.
- [Claude Code Plan Mode: What's Missing and How to Fix It](https://www.braingrid.ai/blog/claude-plan-mode.md): Claude Code plan mode is great for analysis but plans vanish between sessions. Here's what's broken and how BrainGrid makes plans persistent and actionable.
- [Amazon's AI Outages Prove the Real Bug Was Never in the Code](https://www.braingrid.ai/blog/amazon-ai-outages-requirements-gap.md): When AI coding outages happen at scale, the root cause is never the AI's code quality. It's the absence of structured requirements that would have caught the defect before a single line was generated.
- [Introducing Designs: See what you are building before you build it](https://www.braingrid.ai/blog/introducing-designs.md): Create, iterate, and refine your app visuals from a prompt. Desktop and mobile views, chat-based iteration, annotations, and element selection -all tied to your requirements.
- [The Second 80%: A Prototype Is Not a Product](https://www.braingrid.ai/blog/the-second-80-percent.md): AI coding tools are extraordinary at getting you from zero to prototype. They are also extraordinarily good at hiding the mess they leave behind.
- [Why AI Coding Agents Need a Plan (And How to Give Them One)](https://www.braingrid.ai/blog/planning-in-the-age-of-capable-coding-agents.md): AI coding agents can now build entire features. But without a plan, they build the wrong thing. Here's how spec-driven development fixes this.
- [Builder Story: No Engineering Background, No Problem — Audrius and Deep Focus](https://www.braingrid.ai/blog/builder-story-audris-deep-focus.md): He couldn't write code, but he knew what good products looked like. How BrainGrid turned a marketer's product instincts into a live focus app with Google Calendar sync, shared sessions, and analytics.
- [Getting Started with BrainGrid CLI: From Idea to Shipped Feature](https://www.braingrid.ai/blog/getting-started-braingrid-cli.md): Set up BrainGrid CLI in 5 minutes and start turning vague ideas into AI-ready specs. Covers install, init, and the specify-build workflow.
- [Designing Your SaaS: Turn Requirements into Visual Designs](https://www.braingrid.ai/blog/designing-your-saas.md): BrainGrid now generates visual designs with every requirement. Refine the design before Claude Code builds it — no Figma needed.
- [What Is OpenClaw? The Open-Source AI Agent Everyone Is Talking About](https://www.braingrid.ai/blog/what-is-openclaw.md): What is OpenClaw, how does it work, and is it safe? An honest breakdown of the open-source AI agent that went viral with 140K GitHub stars, Moltbook, and real security concerns.
- [Building the BrainGrid Way: From Idea to Shipped Software](https://www.braingrid.ai/blog/building-the-braingrid-way.md): A clear mental model for turning ideas into working software with AI. Four stages — Idea, Epic, Requirements, Build — no guesswork, no restarts.
- [Claude Code Skills Explained: What They Are + How to Use Them](https://www.braingrid.ai/blog/claude-skills.md): Claude Skills are markdown files that give AI agents specialized knowledge. Learn how they work, how they compare to MCP servers, and how to create your own.
- [How I Vibe Coded a SaaS MVP in a Weekend (Step by Step)](https://www.braingrid.ai/blog/vibe-coding-a-startup-idea.md): From startup idea to working immigration concierge MVP in one weekend using AI. How spec-driven development with BrainGrid made vibe coding actually work.
- [Builder Story: Saymon and Core Care](https://www.braingrid.ai/blog/builder-story-saymon-core-care.md): From solo consultant to shipping faster than teams: How BrainGrid gave an 8-year engineer the PM he never had.
- [Building BrainGrid with BrainGrid: Spec-Driven Development with Claude Code](https://www.braingrid.ai/blog/building-braingrid-with-braingrid.md): How we ship features in under an hour — from half-baked idea to tested, deployed code — using spec-driven development with BrainGrid and Claude Code.
- [How to Get SaaS Product Ideas: 7 Proven Methods for Solo Founders](https://www.braingrid.ai/blog/saas-product-ideas.md): 7 proven methods to find profitable SaaS ideas: Reddit frustrations, YC Request for Startups, indie hacker playbooks, and validation tactics. For solo founders using AI coding tools.
- [Introducing AI Product Planner: Structure your ideas for AI](https://www.braingrid.ai/blog/ai-product-planner.md): Unified project planning, AI-guided specifications, readiness scoring, and dependency management for building with clarity.
- [7 Best Vibe Coding Tools in 2026 (Tested & Ranked)](https://www.braingrid.ai/blog/best-vibe-coding-tools-2026.md): We tested Cursor, Claude Code, Bolt, Lovable, v0, Replit, and BrainGrid. Here's which AI coding tool actually helps non-technical founders ship.
- [7 Best Replit Alternatives in 2026 (Free & Paid Options)](https://www.braingrid.ai/blog/replit-alternatives.md): Replit not cutting it? Compare Codespaces, Cursor, BrainGrid, Bolt.new, v0, and more. We tested each for AI coding, collaboration, and deployment.
- [Why AI Tool Validation Needs Two Layers (Not One)](https://www.braingrid.ai/blog/two-layer-ai-tool-validation.md): How we fixed our BrainGrid Requirements Agent crashes by implementing a two-layer validation pattern—LLM-level constraints plus app-level safeParse.
- [Vibe Coding Turns One: The Year That Changed How We Build Software](https://www.braingrid.ai/blog/vibe-coding-turn-one.md): From Karpathy's viral tweet to Collins' Word of the Year. What existed before vibe coding, what changed in 12 months, and where we go from here.
- [How to Add MCP Servers to Gemini CLI (Step-by-Step)](https://www.braingrid.ai/blog/gemini-mcp.md): Set up MCP servers in Gemini CLI in 5 minutes. Covers settings.json config, BrainGrid MCP, Supabase, and troubleshooting common errors.
- [Claude Code vs Cursor 2026: Which AI Coding Tool Is Better?](https://www.braingrid.ai/blog/claude-code-vs-cursor.md): Claude Code vs Cursor compared head-to-head. Terminal vs IDE, pricing, speed, code quality, and which one actually ships for solo founders and small teams.
- [Builder Story: How Two Builders Shipped 200+ Features Using AI Agents and BrainGrid](https://www.braingrid.ai/blog/builder-story-matt-bernier-clay-unicorn-unicorn-love.md): Inside Unicorn.love’s venture studio: how two builders coordinate teams, products, and AI agents without becoming the bottleneck.
- [Claude Code Pricing 2026: Pro vs Max vs Team (Updated June)](https://www.braingrid.ai/blog/claude-code-pricing.md): Claude Code Pro is $20/mo, Max $100-200, Team premium seats $100-125. Token math, current limits, and which plan saves you money. Updated June 2026.
- [Cursor Pricing 2026: Free vs Pro vs Ultra — Which Plan?](https://www.braingrid.ai/blog/cursor-pricing.md): Cursor Free, Pro ($20), Pro+ ($60), Ultra ($200) compared. When to upgrade, what you actually get, and how to avoid hitting request limits.
- [Ralph Wiggum Plugin for Claude Code: Autonomous Coding Guide](https://www.braingrid.ai/blog/ralph-wiggum-plugin.md): Set up the Ralph Wiggum plugin for hands-off AI coding in Claude Code. Install, configure autonomous loops, and integrate with BrainGrid MCP.
- [Windsurf MCP Servers: Setup Guide + Best Servers (2026)](https://www.braingrid.ai/blog/windsurf-mcp.md): Configure MCP servers in Windsurf step by step. Top servers for developers (Supabase, GitHub, BrainGrid) and fixes for common config issues.
- [10 Best Lovable Alternatives in 2026 (Reviewed & Compared)](https://www.braingrid.ai/blog/lovable-alternatives.md): Outgrowing Lovable? We compared Bolt.new, Cursor, Claude Code, v0, and 6 more AI builders on code quality, pricing, and what happens after the demo.
- [Brand as Code](https://www.braingrid.ai/blog/brand-as-code.md): Why Your Brand Should Be Readable by Humans and Machines. AI can write your code, but it doesn't know your brand. Learn how to make your brand machine-readable for AI coding tools.
- [Claude Agent SDK: Build Production AI Agents Without Starting from Scratch](https://www.braingrid.ai/blog/claude-agent-sdk.md): Master the Claude Agent SDK to build autonomous AI agents for your SaaS. Complete guide with code examples, architecture patterns, and common pitfalls.
- [Claude Code MCP Servers: Setup Guide + Best Servers (2026)](https://www.braingrid.ai/blog/claude-code-mcp.md): Add MCP servers to Claude Code in minutes. Top 10 servers ranked (Supabase, GitHub, Figma, BrainGrid) plus troubleshooting for common config issues.
- [Windsurf vs Cursor 2026: Full Comparison for AI Coding](https://www.braingrid.ai/blog/windsurf-vs-cursor.md): Windsurf vs Cursor compared on pricing, AI features, code quality, and IDE experience. Which AI coding assistant is right for your workflow?
- [Cursor MCP Servers: Setup Guide + Best Servers List (2026)](https://www.braingrid.ai/blog/cursor-mcp.md): Configure MCP servers in Cursor IDE step by step. Includes top servers (Supabase, GitHub, Figma, BrainGrid) and fixes for common .cursor/mcp.json issues.
- [How to Migrate Your Lovable App to Next.js (Full Guide)](https://www.braingrid.ai/blog/migrate-lovable-to-nextjs.md): Step-by-step guide to exporting your Lovable project and migrating it to a proper Next.js app with Claude Code. Covers routing, Supabase, and deployment.
- [What Is a Product Management Agent?](https://www.braingrid.ai/blog/what-is-a-product-management-agent.md): AI coding tools changed who gets to build software. But without planning, things break. A Product Management Agent is the missing layer that turns messy ideas into reliable software.
- [Design Systems for AI Coding: Stop Getting Purple Gradients](https://www.braingrid.ai/blog/design-system-optimized-for-ai-coding.md): Why AI coding tools keep generating ugly UIs, and how to build a design system they actually follow. Tokens, variables, and component patterns that work.
- [Spec-Driven Development: Ship Reliable Software Faster with AI](https://www.braingrid.ai/blog/spec-driven-development.md): Stop debugging AI-generated code that misses the point. Learn how spec-driven development helps AI coders turn your expertise into AI-ready requirements.
- [Understanding .env and .env.local Files](https://www.braingrid.ai/blog/env-local-vs-env.md): Learn the difference between .env and .env.local files for local development and shared configurations.
- [Git for Vibe Coders: How to Not Lose Your AI-Generated Code](https://www.braingrid.ai/blog/git-version-control-for-ai-builders.md): New to Git? Learn branching, commits, and workflows to protect your vibe coded projects. Stop losing hours to bad AI-generated code you can't undo.
- [Builder Story: Kaleen Canevari](https://www.braingrid.ai/blog/builder-story-kaleen-canevari-motra-studio.md): From broken features to paying customers: How BrainGrid helped a 'vibe coder' build a multi-tenant Pilates platform with Stripe Connect.
- [How to Export Your Lovable Project and Accelerate Development](https://www.braingrid.ai/blog/how-to-download-lovable-project.md): Have you reached the limits of Lovable? This guide will walk you through exporting your project to GitHub in under 15 minutes to continue building with AI agents. Learn how to avoid three common pitfalls that derail 80% of project exports.
- [I Built a Vibe Coding Mess, GitHub Was the Start of Taking Back Control](https://www.braingrid.ai/blog/i-built-a-vibe-coding-mess.md): Your AI coding tool built 80% of your app, then started breaking things. Learn how Git lets you experiment fearlessly and launch in weeks, not months.
- [Why we switched from Claude web search to Exa for the BrainGrid agent](https://www.braingrid.ai/blog/switching-claude-web-search-to-exa.md): Claude's web search tool responds with encrypted content, which complicated our implementation. Here's the approach we took with Exa in under 100 lines.
- [From Local Hack to Production-Ready: How We Solved the BrainGrid's MCP Multi-Tenant Authentication Problem](https://www.braingrid.ai/blog/how-we-solved-mcp-authentication.md): We had to solve the MCP multi-tenant authentication problem to make our agent accessible to our customers. Here's how we did it.
- [Cutting AI Costs with a Single Line: Anthropic Tool Caching in AI SDK v5](https://www.braingrid.ai/blog/anthropic-tool-caching-ai-sdk-v5.md): How we reduced our AI costs and sped up queries by adding three lines of code to enable Anthropic's tool caching in AI SDK v5.
- [Migrating to AI SDK v5: A Story of Tool Streaming, Caching, and Type Safety](https://www.braingrid.ai/blog/migrating-to-ai-sdk-v5.md): We migrated BrainGrid's core AI infrastructure from AI SDK v4 to v5. Here's how it went.
- [The Babysitting is Over: A New Plan for AI Coding](https://www.braingrid.ai/blog/the-babysitting-is-over-a-new-plan-for-ai-coding.md): The promise of agentic AI coding was a tireless partner. What professional engineering teams got is a distractable intern that needs babysitting.

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