Why I Tried So Many

I have a problem. When there’s a new AI tool, I need to know if it’s useful for my work. So I test it.

This is my honest assessment after using these tools extensively.

The Contenders

Claude (Anthropic)

Best for: Complex reasoning, code generation, thoughtful analysis

What surprised me: Claude actually thinks about why you’re asking something, not just what you asked. When I asked about Kubernetes networking, it didn’t just explain the concept — it anticipated follow-up questions.

# Claude generated this Terraform module for me
# It actually understood the security requirements I mentioned
# and added appropriate IAM restrictions

Weakness: Sometimes too cautious. I had to push to get it to take bold architectural positions.

GPT-4 (OpenAI)

Best for: Quick code snippets, boilerplate, familiar patterns

The undisputed king of “write me a function that does X.” Speed is unmatched.

Weakness: For complex DevOps work, it often suggests the “textbook” answer rather than the practical one. Sometimes misses recent tool updates.

Gemini (Google)

Best for: Google Cloud integrations, context from my own documents

The multimodal capabilities are genuinely useful. I can upload architecture diagrams and ask questions about them.

Weakness: API costs add up fast. The pricing model is confusing.

Specialized Tools

GitHub Copilot

Good for autocomplete-style code suggestions. Lives in my editor. But for DevOps, it’s mostly helpful for boilerplate, not complex configurations.

LangChain

Overhyped for simple use cases. The abstraction adds complexity without benefit unless you’re building something genuinely complex.

Vector Databases (Pinecone, Weaviate)

Actually useful for knowledge management. I now have a searchable database of our internal runbooks and documentation.

My Current Stack

Daily:     Claude (complex work) + Copilot (autocomplete)
Research:  GPT-4 (speed) + Gemini (multimodal)
Internal:  Vector DB + Custom scripts

What I’d Tell My Past Self

Don’t chase the latest model. The productivity gains come from:

  1. Finding your workflow with one tool, not trying all tools
  2. Building patterns you can reuse, not one-off prompts
  3. Focusing on integration — tools that work together beat single powerful tools

The best AI tool is the one you actually use consistently.