Platform engineering, Go, DevOps, and applied AI.
A practical comparison of embeddable vector database options for Go applications shipped as a single binary, with a decision tree and the trade-offs that matter.
Context Engineering is the discipline that turns generic AI into a compliant, context-aware business partner. Here is how to structure it across your organization.
Agento is a free, open-source web UI for Claude Code that lets you build AI agents, schedule automated tasks, and track your AI productivity, all without touching a terminal.
Run Anthropic's Claude Code CLI in a Docker container and docker-compose on Linux — step-by-step install, Dockerfile, and optional Squid proxy for domain-level network isolation.
A deterministic, CI/CD-ready framework for measuring how accurately AI agents follow complex, multi-step workflow instructions. Features a three-tier hybrid evaluation engine, progressive scoring, and dual-metric reporting.
How I automated production-ready code generation from GitHub issues using Claude Code CLI with continuous feedback loops through pre-commit hooks, CI/CD, and PR reviews—achieving 90%+ merge-ready code in ~40 minutes.
Yes, there's a Slack CLI. SlackCLI is an open-source command-line tool to read and send Slack messages from your terminal — built for AI agents and automation.
Learn how to use Slack browser session tokens (xoxd/xoxc) with the official Go SDK to interact with Slack APIs without creating a Slack app. Perfect for personal automation and quick prototyping.
A comprehensive framework to determine if your software project is ready for AI development agents integration. Provides criteria, quality gates, and readiness assessment to ensure AI enhances productivity without creating technical debt.
Learn how to build a unified AI assistant using specialized micro-agents for different departments, creating a collaborative swarm for enterprise information discovery.