Platform-Specific Power Moves
Every tool has a hidden gear. Here’s how to find yours.
What This Is
Vibe coding platforms are designed to be accessible from day one. Smooth on-ramp, reasonable defaults, manageable learning curve. Right design philosophy for first-time users. Creates a peculiar problem for everyone past the basics: the most powerful features are the ones nobody told you about.
This chapter is the second level. Not how to start — how to use these tools in ways most users never discover. The features tucked behind a keyboard shortcut, an obscure config file, a setting three menus deep, or a workflow pattern that only becomes obvious after months of daily use.
The difference between a beginner and a power user isn't intelligence or background. It's awareness of what the tool can do once you push past the defaults.
Who Should Use This
Devs who've hit a plateau. You know your tool. You've shipped projects. But you've started noticing friction — prompts that don't land, features you suspect exist but can't find, workflows that feel slower than they should. This chapter resolves that.
Non-technical founders who shipped their first project. You got something working with Lovable, Bolt, or Replit. You're proud of it — rightfully. Now you want to move faster without switching tools or starting over.
Cursor
.cursorrules. Drop a file called .cursorrules in your project root. Fill it with everything the AI should know — framework preferences, naming conventions, libraries you use, patterns to avoid. Not prose. Short, declarative lines. "TypeScript strict. Functional components only. Tailwind for styling. API calls go through useFetch — never raw fetch or axios." Every interaction in that project respects those constraints automatically. Stops you correcting the same defaults forever.
@codebase vs. @filename. Most people learn @filename and stop. @codebase triggers semantic search across the whole project. Ask "why is the user session expiring unexpectedly?" with @codebase and Cursor finds the auth logic, session config, and middleware before answering — without you saying where to look. Significantly more powerful for debugging questions where you don't already know which file has the bug.
Composer checkpoints. When you're using Composer for a big feature — "add a complete notifications system" — don't fire and hope. Use the checkpoint feature to create restore points before each major step. AI goes off the rails on step three? Revert to the checkpoint after step two and try a different instruction. Turns large agentic tasks from high-variance gambles into iterative, controlled progressions.
Windsurf (Devin Desktop)
Chat vs. Devin Local. Quick naming note first: Windsurf is now Devin Desktop under Cognition, and its agent — the artist formerly known as Cascade — is Devin Local as of July 2026. Same idea, better engine. Most new users default to Chat — feels familiar. But Devin Local is the agentic engine. It plans, executes multiple steps, reads files, writes changes, and checks its own work in a loop until it believes the task is done. Chat is for questions, explanations, single-file edits. Devin Local is for multi-step features and refactors that span files. Knowing which to invoke is the move.
Memories. Devin Desktop maintains persistent context across sessions. Instead of re-explaining your stack every time ("FastAPI + SQLAlchemy + React/Vite"), write it into its memory once. Inform every Devin Local session forever. Five minutes of setup saves hours.
Flows. Pre-built sequences of agentic actions you can define and trigger. Repeatedly asking the AI to scaffold a new API endpoint with a test file? Define a Flow. Macro system for AI work. Particularly powerful for teams maintaining consistency.
Claude Code
CLAUDE.md. Same idea as .cursorrules, broader scope. Lives in project root. Architectural decisions, known gotchas, test commands, build steps, env vars, quirks about your local setup. Documentation written for an AI collaborator, not a human. The more specific you are, the less time you spend correcting Claude Code's assumptions.
/compact. Long sessions accumulate context — every file read, every command, every exchange. Eventually that context gets large enough to slow responses and occasionally confuse the model about what's been established. /compact summarizes the session, keeps the conclusions, releases the raw history. Power users run it every hour or so the way you'd commit code regularly. Keeps responses sharp.
Subagents. When you need a parallel research task — "investigate whether library X can do Y, return a summary" — spawn a subagent while you continue on the main task. How professional devs use Claude Code for genuinely complex problems: not a sequential chain of prompts, but an orchestrated system where subtasks run in parallel.
Wispr Flow
Speak in the target environment's register. When you're dictating to Cursor or Claude Code, don't narrate in prose and hope the AI translates. Speak like a precise prompt. "Create an async function named fetchUserProfile that takes a user ID string, calls the profile API endpoint, and returns the user data or throws an error with the status code" dictates better than "I need a function that gets user info." Wispr transcribes what you say. Quality of output depends on how precisely you say it.
Application profiles. Different dictation styles per app. Profile for your IDE that favors technical precision and code syntax. Separate profile for Slack/email that accepts conversational language. Most users leave everything default and wonder why Wispr formats code oddly in chat or transcribes casual speech weirdly in the terminal. Five minutes building profiles pays off every context switch.
Base44
Describe the data model up front. Base44 is built around structured app generation. Particularly good at the right schema, relationships, and CRUD — but only if you describe the relationships clearly at the start. Not "I need a project management app." Instead: "Project management app where users create projects, projects contain tasks, tasks can be assigned to team members, and each task can have comments and file attachments." That specificity at prompt time produces a model that doesn't need correction later. On Base44, a good first prompt is worth hours of rework.
Know the export story. Base44 generates real code under the hood, and GitHub sync plus ZIP export now exist — starting at the Starter plan ($16/mo). Free tier still can't get code out. The catch that matters: what exports is the frontend. The backend stays behind the Base44 SDK, so a "full migration" to Cursor or Claude Code means rebuilding that layer. Worth understanding before you commit. Once on a paid tier, export strategically — when complexity demands fine-grained control, take the frontend and plan the backend rebuild. Not a failure mode. A planned handoff between phases — just a bigger handoff than the export button implies.
Lovable
Describe the end state, not the steps. Lovable's Agent mode — the default now — is optimized for goal-directed generation. Tell it what the finished thing should look and behave like; let it figure out the path. Users who struggle treat it like a command interface ("Add a button. Now make it blue. Now wire to the database.") — brittle, directive-dependent. Better: "I need a dashboard where users see their subscription status, change their plan, and cancel. Subscription data comes from Stripe. Changing plans prompts a confirmation modal and updates immediately." One rich description, one well-structured implementation.
GitHub sync. Connect your Lovable project to a GitHub repo. Every change commits automatically. Use Lovable for the fast visual editing, drop into Cursor for parts that need surgical precision — same codebase, Git tracking everything. Power users work UI in Lovable, complex backend in Cursor, push everything through one repo. Complementary, not competitive.
Look under Lovable Cloud's hood. Lovable Cloud is the default managed backend now — and it's Supabase under the hood. Most users let Lovable manage the DB through the chat interface and never look at it. Read the schema it generated. You'll write more targeted prompts ("add a cancelled_at timestamp to subscriptions and update display logic to show that date when present") and catch structural decisions before they're baked in. Five minutes in the backend panel pays for itself many times over.
Bolt.new
Forks as templates. Every Bolt project can fork from an existing one. Build a project structure you like — preferred framework, API setup, auth flow — use it as a template. Pro users keep two or three: full-stack web app with auth, API-only, landing page. New projects start from a fork instead of blank. Stops you regenerating boilerplate and lets your token budget go to actual new functionality.
Export-and-continue. When the project needs capabilities the browser can't offer — local env vars, native OS access, complex deps, custom deployment — download as ZIP, open in Cursor, keep building. The code Bolt generates is real, well-structured code any IDE can work with. Many devs use Bolt to get to 60% at high speed and finish the last 40% locally. Handoff is intentionally clean.
Click-to-reference. In the Bolt chat, click on any component visible in the preview pane and that component's code is automatically referenced in the next prompt. "Make this section responsive" by clicking the section. For non-technical users who can see the problem but don't know the code structure, this visual-to-code bridge is a real productivity unlock.
Replit
Secrets + environment separation. Replit Secrets stores env vars, but most users use one environment — dev/prod hybrid, since "Run" conflates them. Create separate Replits for dev and prod with different Secrets. Promote code between them via Git when features are ready. More deliberate than just clicking Run. Prevents the common failure where one env-var change breaks production while you're testing.
Use Replit Agent strategically. Replit Agent can scaffold a complete app — DB, API, frontend, auth — from a high-level description, and Agent 3 will run autonomously for hours if you let it. Then iterate from there with standard Replit Chat. Agent is expensive in time and in credits — which are effort-based now, so long autonomous runs cost what they cost. Strong start-of-project tool, not an everyday tool. Knowing when to invoke vs. when to use Chat saves money on every project.
Always-on deployments. Most genuinely useful infra feature for non-technical builders, chronically underexplained. Deploying a Replit project keeps it running when you close the tab — but only if you have a deployment configured. Just hitting the green Run button isn't a deployment. Most users don't realize their app sleeps until a user tells them it's down. Set up a proper Deployment through the dashboard. Ten minutes of one-time config. Do it before you share the link with anyone who matters.
v0 by Vercel
Front-load the design system. v0 defaults to its own UI interpretation — competent but generic. Specify constraints in the first message: "Minimal, dark-themed, Inter as font, shadcn/ui components, 4px border radius, indigo and slate palette." v0 has deep awareness of shadcn/ui under the hood, so describing intent in those terms produces dramatically more polished output than letting the AI choose.
Component library first, full-stack agent second. The new v0 is a full-stack app agent now — API routes, a database via the Connect panel, GitHub PRs. Use it when you actually want the whole app. But for dropping into an existing project, the old discipline still wins: v0 excels at individual reusable components — a pricing table, notification dropdown, file upload zone, complex data table with sorting. Generate in isolation. Copy code into your real project. Wire to data yourself. Faster, more predictable, cleaner code than asking v0 to rebuild a page that already exists.
Figma URLs as input. On the Plus plan ($30/mo), paste a Figma URL into v0 and it generates a React component matching the design. Fidelity isn't perfect. Dramatically faster than rebuilding from a screenshot. Compresses hours of pixel-matching into minutes when design happens in Figma first.
GitHub Copilot
/explain and /fix. Most Copilot users live in inline autocomplete and never open the chat. Chat commands are where comprehension shows. Select a confusing block, type /explain, get a plain-English breakdown. Select a failing function, type /fix for a proposed correction with reasoning. High utility for inherited codebases and debugging that autocomplete can't address.
The coding agent + Mission Control. Copilot Workspace got folded into the coding agent, which is GA now. Assign it a GitHub issue, it works in the cloud, opens a PR, waits for your review — and Mission Control is the dashboard for running several at once. Operates on your entire repository with native GitHub understanding — issues, PRs, commit history. Power users use the IDE plugin for day-to-day, the coding agent for planned features and issue resolution. One caveat: every agent run burns AI Credits, so watch the meter.
Comment-first context injection. Copilot's autocomplete reads code surrounding your cursor. Quality of context determines quality of suggestion. Write a descriptive comment immediately above the function you're about to write — "// Returns the user's next billing date based on their subscription tier and last payment date, accounting for trial periods" — primes Copilot with the exact intent before you type a line. Read the suggestion. Adjust. Accept. Counterintuitive. Improvement is consistent and significant.
Free Tier vs. Paid Tier
Some power moves are free; others are gated. Worth being clear about which.
Free. .cursorrules, Lovable's GitHub sync, Bolt's export, CLAUDE.md, Copilot's /explain and /fix. Configuration and workflow moves — available to everyone. First place to invest your time.
Paid. Cursor's full agent workflow (Pro $20/mo, credit pool). Devin Local with persistent memory (paid plan). Replit Agent (the free daily credits exhaust fast). v0 Figma import (Plus, $30/mo). Not arbitrary paywalls — real compute costs. Honest math: time saved per month vs. subscription. For anyone building seriously, the answer is yes within the first week.
Free tiers that are genuinely useful (not gimped trials): Cursor's Hobby tier, v0 (strong component generation), Copilot Free (2,000 completions is real — and education or open-source licenses unlock more), and Devin Desktop's free tier (unlimited Tab). Claude Code isn't free, but it's bundled into a $20/mo Claude Pro subscription — no separate line item.
Best At: Web / Mobile / Local
Web Apps — ★★★★★. Highest return. .cursorrules + Lovable GitHub sync = visual-builder speed for UI plus IDE precision for logic on the same codebase. v0 component gen and Bolt fork-from-template are explicitly web-native. Stack together into a workflow substantially faster than any single platform at defaults.
Mobile — ★★★☆☆. Usable, smaller benefits. Cursor's .cursorrules and Claude Code's CLAUDE.md translate directly to React Native. Copilot works for Swift and Kotlin. But many moves here — Bolt's web preview interaction, Lovable's full-stack gen, v0's React components — are web-specific. Mobile-first? Focus on Cursor, Claude Code, Copilot.
Local Apps / Scripts — ★★★★☆. Claude Code moves here are particularly high-value. CLAUDE.md, /compact, subagents — all built for open-ended exploratory engineering. Cursor moves translate well. Python scripting in particular benefits from both tools' codebase-aware context.
Hosting
Cursor and Devin Desktop devs typically deploy to Vercel (Next.js / React frontend), Railway (backend, DB), Supabase (DB and auth). Power move: include your deployment config in .cursorrules or Devin Desktop's memory — "frontend to Vercel, backend to Railway, Supabase Postgres" — so when you ask for help with deployment configs, the AI generates the right files for your actual infra, not generic boilerplate.
Lovable lives on Lovable's hosting by default. GitHub sync means you can deploy the same codebase to Vercel or Netlify with one config step. Set up GitHub sync before you need it. Retrofitting a mature project is messier than connecting at the start.
Replit deployments are where most non-technical users lose time. Always-on deployments require explicit configuration through the dashboard. Running in dev mode is not deploying. Without a proper deployment, the app sleeps and the URL stops working. Check after every significant change, not just initial launch.
Bolt publishes to its own built-in hosting by default now (Netlify is still a one-click option). Fine for staying inside Bolt. But projects you've exported should deploy through Vercel or Railway directly, not back through Bolt. Once you've taken the code local, treat it as a standard web app deployment.
The Story
A friend runs a marketing consultancy. Six people, no devs, communications background. Discovered vibe coding eight months ago. Built three internal tools her team uses daily — client intake form into a CRM-style dashboard, content calendar generator that syncs with Notion, reporting tool pulling data from Meta Ads and Google Analytics for client decks.
First tool: Lovable, two weeks. Second: Bolt, four days. Third: v0 for the UI components, Claude Code for the data integration. Six days, but it handles data volumes and edge cases the first two couldn't.
What changed between tool one and tool three wasn't complexity. It was her understanding of how to use each platform one level below the defaults. For project three, she described the design system to v0 precisely — UI came out polished on the first attempt instead of the fourth. Set up CLAUDE.md on day one with the API endpoints and data shapes she expected back. Ran /compact when sessions got long. When Meta Ads returned unexpected JSON, she pasted the exact structure into chat and asked for a transformer — instead of describing it vaguely.
The difference between her at month one and month eight is the accumulation of small specific moves. Naming things precisely. Providing context before it's needed. Right tool for each phase. Knowing which features most users walk past.
Tool four is in progress. She expects three days.
Where It Bites
Power moves require investment before they pay. CLAUDE.md takes twenty minutes you don't feel like spending when you're eager to build. .cursorrules requires thinking through conventions before you've written enough code to know what they are. Many builders skip these under time pressure and spend weeks correcting AI assumptions a fifteen-minute config would've prevented. Front-loaded investment, distributed return.
Over-configuration. A .cursorrules with fifty conflicting constraints is worse than one with ten clear ones. A CLAUDE.md that documents every edge case is harder for the AI to reason from than one with the ten most important architectural decisions. Discipline is knowing what to include, not just that inclusion is good. Start lean. Add when you encounter a repeated correction.
Platform-specific knowledge becomes outdated. Cascade became Devin Local while this edition was being written. v0 went from component generator to full-stack agent. Copilot Workspace stopped being a separate product. Read each platform's changelog occasionally. Not to chase every new feature — to notice when something you rely on changes behavior, or its name.
Gavin's Rule: Day-One Configuration, Always
Build the platform configuration file on day one of every project. Not after you've been frustrated enough to look it up.
Whether it's
.cursorrules,CLAUDE.md, or Devin Desktop's memory panel — fifteen minutes of setup at project start is measured in hours saved over the following weeks.Make a personal template for each tool you use regularly. A starting configuration that reflects your stack and conventions. Copy it into new projects as a habit.
The AI doesn't know your preferences until you tell it. Tell it once, up front. It works with you for the rest of the project instead of against you.
Bottom Line
Every platform here has a second layer most users never reach — config systems, agentic modes, workflow patterns. Not hidden, exactly. Just unexplained at the beginning. The moves in this chapter are where the real productivity gains live.
Find the two or three that apply to your primary tool. Use them on your next project. Friction you eliminate today compounds into momentum that reshapes what you can ship six months from now.
— Gavin