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AI Do Now

Building scalable systems with AI - real workflows, patterns, and learnings

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What You’ll Find Here

How I actually use AI agents to build production systems - not toy examples.Topics include:
  • Multi-agent coordination (Evaluator, Builder, Verifier)
  • Plan → Implement → Verify workflow
  • Auto-remediation and self-healing code
  • Prompt engineering for code quality
  • Token optimization strategies
AI isn’t magic. I share what breaks, why it breaks, and how to work around it.You’ll see:
  • Architecture decisions AI gets wrong
  • Security vulnerabilities AI misses
  • Novel problems AI can’t solve
  • How to know when to override AI suggestions
The best results come from humans and AI working together, not AI alone.Including:
  • When to use AI (boilerplate, patterns, tests)
  • When to use human judgment (architecture, security)
  • How to verify AI output effectively
  • Cost vs value trade-offs (token usage)
I’m building a production-grade multi-tenant SaaS platform as the vehicle for testing these AI workflows.The system includes:
  • Event sourcing with DynamoDB
  • Multi-tenant data isolation
  • Rust macro-driven development
  • Four-level testing strategy
But the system is the example, not the focus. The AI workflow is the story.

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Start Exploring

Practices

Multi-agent workflows and development patterns

Craft

Technical implementation and architecture

AI Insights

When AI excels and when it fails

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Who Am I?

I’m a software engineer exploring how AI can accelerate building complex systems without sacrificing quality. I believe:
  • AI is a force multiplier - When used correctly, with humans in the loop
  • Workflows matter - Multi-agent patterns beat single-prompt coding
  • Verification is critical - AI output must be independently reviewed
  • Share the failures - AI mistakes teach us how to improve collaboration
Note: All content here is from my personal projects and learning journey. It does not represent my employer’s views or technologies.

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New content published regularly (articles weekly, video shorts twice per week)