Designing AI Agent Tools: Cut Token Costs 70% (MCP Case Study)
Design AI agent tools (MCP, LangChain, or custom) that cut token cost 60-70% without losing accuracy.
Fulfilling God's purpose for my life
A collection of 13 posts
Design AI agent tools (MCP, LangChain, or custom) that cut token cost 60-70% without losing accuracy.
AWS DevOps Agent uses AI to investigate production incidents in seconds. A first look at what it does and where it fi...
Discover, configure, and run MCP servers with Docker's MCP Catalog and Toolkit.
Build an MCP server on Cloudflare Workers that gives Claude access to Bible verses and cross-references.
Inconsistent AI output? Learn 7 parameter controls (temperature, top-p, seeds and more) that turn unpredictable respo...
Run local AI models with Docker Model Runner using Docker Hub models and OpenAI-compatible APIs.
Compare DeepSeek and OpenAI on cost, performance, and openness from a builder's point of view.
Advanced sidecar techniques: file sharing, process communication and dynamic configuration to extend your Kubernetes ...
Summarize noisy Kubernetes events with OpenAI so on-call gets a short, readable brief.
Monitor Kubernetes container networking with Cilium and eBPF for visibility and security signals.
Automate Python code reviews with GitLab CI/CD and Ollama AI, improving code quality, catching issues, and enforcing ...
Build a ServiceNow incident QnA bot with Amazon Bedrock for faster ticket lookup.