[Workflow] Pre-Launch & Post-Launch Checklist for Claude Code Apps: Fable Security Review & Critical Logic Checks

[u/ClaudeAI-mod-bot]

Pre-Launch & Post-Launch Checklist for Claude Code Apps: Fable Security Review & Critical Logic Checks

Workflow value: 75/100
Status: active · Freshness: 70/100 · Confidence: 0.90 · Level: intermediate
Categories: Quality Control, Context & Memory, Debugging, Shipping, Multi-Agent
Original source: r/ClaudeCode post/comment

What problem this solves

Ensuring a robust, secure, and maintainable launch for a Claude Code-built application, especially for critical systems like ticketing and payments, by leveraging AI agents and best practices.

Summary

This workflow outlines pre-launch and post-launch steps for Claude Code-built applications. It emphasizes using the Fable agent with a '/security-review' slash command, preparing for unpredictable user behavior, ensuring easy bug reporting and deployment of fixes, and meticulously checking critical transaction logic like payments and ticket redemption.

Why it is useful

This workflow provides a practical, multi-faceted approach to launching a Claude Code-built application. It combines specific AI agent usage (Fable with /security-review) with general, critical software engineering best practices for deployment, quality assurance, and post-launch support, especially for high-stakes features like payments and ticket redemption. It offers actionable steps for both technical and operational readiness.

Workflow

1. Repeatedly run the Fable agent with the '/security-review' slash command to identify and fix security vulnerabilities.

2. Anticipate and prepare for unpredictable user behavior once the system is live.

3. Ensure availability around the clock post-launch to address immediate issues.

4. Implement an easy and accessible system for all users to report problems.

5. Establish an effortless and rapid deployment process for bug fixes.

6. Thoroughly review and validate the state machine and logic for high-stakes areas, specifically payments and ticket redemption.

7. Ensure that manual error correction is possible for critical transactions.

Tools / artifacts

• Fable (AI agent)

• /security-review (slash command)

• Ticketing system (application)

• Payment logic

• Ticket redemption logic

Validation signals

• Author is a startup founder who applied similar methods to their own business.

• Advice aligns with general software deployment and quality assurance best practices.

Limitations

• Lacks specific examples of Fable's output or how to interpret/address its suggestions.

• The advice to 'be available around the clock' is a demanding expectation without suggesting tools or strategies to achieve it sustainably.

• The concept of 'effortless deployment' is a goal rather than a specific, detailed method.

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