iOS Developer Shares Claude Code Best Practices After Shipping Multiple Apps

Practical Guidelines for AI-Assisted iOS Development
A developer who has shipped multiple iOS apps using Claude Code shares specific practices learned from experience. The key insight: AI doesn't automatically enforce good practices—it gives you what you ask for, and the speed that makes AI-assisted coding powerful also lets technical debt pile up silently.
Security and Environment Management
- Never hardcode secrets or commit them to git
- Properly separate dev and prod environments with different API tokens
- Validate input on the server side—never trust what the client sends
- Set CORS to specific origins, not * just to fix errors temporarily
Observability and Infrastructure
- Implement crash reporting from day one
- Use actual logging that persists somewhere, not just terminal history
- Create a simple /health endpoint to check service status
- Set up a real staging environment that mirrors production
- Document how to run and deploy things to avoid single-point knowledge
Code Organization and Testing
- Wrap external services properly with clean service layers
- Add rate limiting on auth and write operations proactively
- Break up massive view controllers early instead of letting them own entire screens
- Version database schema changes through proper migrations
- Test unhappy paths—network failures, unexpected API responses, edge cases
- Test backup restores before emergencies occur
Process and Mindset
- Set up CI/CD early with automatic testing and deploying
- Resist the "I'll clean this up later" mentality—fix hacky code immediately or create tickets with deadlines
- Use proper feature flag systems instead of commenting code in and out
- Store everything in UTC, convert to local time only on display
- Treat Claude Code as a brilliant junior developer who needs guidance on architecture, security, and maintainability
The developer suggests including these practices in a CLAUDE.md file or initial prompt to align Claude's suggestions around these principles from the start of a project.
📖 Read the full source: r/ClaudeAI
👀 See Also

OpenClaw setup for human-in-the-loop browser automation with Docker, Chromium, and noVNC
A developer shares their Docker container setup that enables OpenClaw to handle CAPTCHAs and approvals mid-run by using Chromium with noVNC for remote access, requiring ~300MB RAM and 3-second cold starts.

Structuring Claude Code Agents with CLAUDE.md and .claude/ Directory Patterns
A developer shares their approach to running multiple AI agents using Claude Code, with each agent having its own directory containing a CLAUDE.md file and a .claude/ directory with rules and skills. The key insight is separating always-on context from on-demand workflows to optimize token usage and response quality.

Cron Jobs vs Heartbeat: Optimizing OpenClaw Token Usage and Execution Consistency
A senior developer shares practical tips on using Cron jobs instead of Heartbeat to reduce token usage and improve execution consistency in OpenClaw, with concrete examples and a shell script method.

OpenClaw 102: Updated Setup Tips for Security and Efficiency
A Reddit user shares updated OpenClaw configuration advice, including API key encryption with Windows PowerShell scripts, prompt injection defenses in AGENTS.md, Tailscale for remote access, and anti-loop rules to prevent repetitive failures.