# Zalcro — AI app planning tool for vibe coders and developers

```yaml
url: "https://forg.to/projects/zalcro"
website: "zalcro.ai"
category: "Developer Tools"
platforms: "Web"
product_type: "SaaS"
pricing: "Freemium"
upvotes: 0
maker: "David Odukoya"
created: 2026-10-19
launched: "Not yet launched"
```

## About Zalcro

Zalcro is an AI app planning tool that turns ideas into build-ready blueprints. Whether you're new to vibe coding or a seasoned developer, Zalcro maps your architecture before you build. It generates diagrams, sequenced implementation plans, Prompt Packs for Lovable, Bolt, and Replit, and dependency-aware tickets for Cursor and Claude Code. With persistent project context, MCP integration, architecture versioning, and AI troubleshooting, Zalcro helps you stay aligned as you build.

## The Problem

AI‑powered code generators often start building without a clear architecture, causing context loss, hallucinated features, and cascading bugs. Each fix consumes credits and creates new issues, turning development into a firefighting loop. The root cause is missing or inconsistent input—no design blueprint, dependencies, or ordered tasks—so the AI drifts off‑rails and the codebase becomes fragile.

## The Solution

Zalcro adds a planning step before any prompting. Users describe their idea, answer guided questions, and receive a validated architecture, end‑to‑end diagram, and a phased implementation plan. For vibe‑coding platforms (Lovable, Bolt, Replit) it produces a Prompt Pack with sequenced, context‑rich prompts; for agentic tools (Claude, Cursor, Codex) it creates a dependency‑aware ticket backlog. This keeps the AI on track, reduces credit waste, and gives developers a single source of truth to share with teams or investors.

## Who is it for?

Non‑technical founders, product managers, and developers building software with AI coding tools. Specifically vibe‑coders using Lovable, Bolt, Replit or v0, and agentic builders using Claude, Cursor, Codex who need a solid architecture, documentation, and ordered tasks before writing the first line of code.

## Platforms

- Web

## Keywords

`ai_app_planning` · `spec_driven_development` · `prompt_pack`

## Team

- [David Odukoya](https://forg.to/@david) (owner)

## Links

- Website: zalcro.ai
- GitHub: https://github.com/zalcro
- Twitter / X: https://x.com/getzalcro
- Documentation: https://zalcro.ai/how-it-works
- Forg: https://forg.to/projects/zalcro

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_HTML version: https://forg.to/projects/zalcro_