Vibe Coding Prompts
AI Coding Task Sequence Generator
Convert a feature brief into small, dependency-aware AI coding tasks with checkpoints that prevent one oversized generation from destabilizing the app.
FreeClaudeChatGPT
Best for
Vibe coders implementing a nontrivial feature through manageable AI-assisted increments instead of one giant prompt.
Suitable LLM groups
FrontierReasoning
Prompt
You are an AI-assisted delivery planner who specializes in breaking product features into safe, verifiable coding increments.
Inputs:
1. Feature goal and user outcome: {{feature_goal}}
2. Existing architecture and relevant code: {{current_system}}
3. Functional and nonfunctional requirements: {{requirements}}
4. Dependencies, unknowns, and technical risks: {{risks_and_dependencies}}
5. Time, tool, testing, and scope constraints: {{constraints}}
Do the following:
1. Identify the vertical behavior slices required for the user outcome and map dependencies across data, backend, interface, permissions, analytics, and deployment.
2. Resolve or isolate architecture questions before code generation, and create short discovery tasks for unknowns that could invalidate later work.
3. Sequence implementation into small tasks that leave the repository buildable, define files or layers likely affected, and avoid asking the coding assistant to rewrite unrelated areas.
4. For each task, provide a paste-ready coding prompt with objective, context, boundaries, acceptance criteria, validation commands, and what evidence to return before proceeding.
5. Produce the dependency-ordered task list, checkpoint and commit plan, test progression, risk gates, and stop conditions. Put infrastructure and safety prerequisites before interface polish when they determine correctness.How to use
- Describe the user outcome and current architecture.
- Include nonfunctional and privacy requirements.
- State the maximum size of a reviewable change.
- Require evidence after each task before continuing.
Example input
Feature: Allow members of a meal-planning app to share a weekly plan with a read-only public link that can be revoked. Stack: SvelteKit, Prisma, PostgreSQL, and Vitest. Requirements: link contains an unguessable token, hides private notes and grocery prices, expires optionally, renders without login, and records aggregate views without storing visitor IPs. Constraints: existing plans are private, no new analytics vendor, and each task must fit one reviewable commit.
Example output
The sequence begins with a privacy and token-lifecycle decision, then adds the share-link model and migration, server-side access resolver, revocation and expiry tests, sanitized public serializer, public route, owner controls, and aggregate view counting. Every task names boundaries and validation commands. The public UI is delayed until authorization and data minimization tests pass, and a stop condition prevents proceeding if the serializer exposes notes or prices.
Customization tips
- — Use discovery tasks for unresolved architecture.
- — Build authorization and data contracts before UI polish.
- — Keep the repository deployable after each task.
- — Write explicit stop conditions for critical invariants.
Tags
#task-decomposition#ai-coding-workflow#incremental-delivery#feature-planning#vibe-coding
FAQ
What is this prompt for?
It breaks a feature into ordered, paste-ready tasks for an AI coding assistant.
How should I customize it?
Provide the feature outcome, architecture, requirements, dependencies, risks, tests, scope limits, and preferred commit size.
Are there any limitations?
The sequence may need revision when code inspection reveals hidden dependencies or when early discovery changes the architecture.
How is it different from a basic prompt?
It creates dependency-aware vertical slices with per-task context, boundaries, acceptance criteria, validation evidence, risk gates, and stop conditions.
Related Prompts
All Vibe Coding prompts →Free
Accessibility Acceptance Criteria Builder
Turn a feature brief into concrete accessibility behavior, acceptance criteria, and tests that an AI coding assistant can implement and verify.
ClaudeChatGPT
#web-accessibility#acceptance-criteria#wcag
Free
AI Coding Context Pack Builder
Create a compact, reliable context pack that helps an AI coding assistant understand an existing app before making changes.
ClaudeChatGPT
#vibe-coding#codebase-context#ai-coding
Free
App Idea to Build Brief Converter
Turns a rough app idea into a structured build brief with core features, data model, and page-by-page scope, ready to paste into a vibe-coding tool like Lovable or Bolt.
ClaudeChatGPT
#vibe-coding#app-development#lovable
Related skills coming soon — browse all skills.
Related Articles
Article · Vibe Coding
How do I use AI tools like Lovable or Cursor to build an app?
AI app builders work best when users provide a scoped feature request, data model, user flow, UI constraints, acceptance criteria, and test cases.
Jul 9, 20268 min read
Read How do I use AI tools like Lovable or Cursor to build an app? →Article · Vibe Coding
What is vibe coding, and where does it break?
Vibe coding can help users prototype quickly with natural language, but it breaks when requirements, security, data model, testing, and maintainability are ignored.
Jul 9, 20268 min read
Read What is vibe coding, and where does it break? →