Zalcro

The Problem: You started building. Now you're just fixing.

You hit 80% and your app broke. The AI that built it so fast is now guessing at fixes. Every patch introduces a new bug. Credits are burning. You're not building anymore, you're firefighting a Jenga codebase.

The root cause is the same: your AI coding tool started without a blueprint. It inferred your architecture as it went, siloed your components, and left you with a codebase that falls apart the moment pieces have to connect.

The Solution: Build with a plan your AI can actually use.

Zalcro starts with a conversation about what you're building, then generates everything your AI needs before it writes a single line of code.

Vibe coders (Lovable, Bolt, Replit)
Get a Prompt Pack: Prompts written specifically for your platform, sequenced by build phase. Paste them in order and your AI builds with full architectural context from the start.

Agentic builders (Cursor, Claude Code, Codex)
Get a dependency-aware Ticket Backlog: Granular, executable tasks generated in the order they need to be built. Each ticket includes acceptance criteria and architectural directives so your agent executes without guessing. Export to Linear, Jira, or ClickUp.

Both paths start with an Architecture Design Document, a machine-readable blueprint that locks down your stack, your data model, your auth pattern, and your third-party dependencies before your AI touches the codebase.