Platform engineering, Go, DevOps, and applied AI.
AI agent workflow evaluation framework — deterministic, CI-ready scoring of multi-step instructions with a three-tier hybrid engine and dual-metric reporting.
Bangla keyboard guide — Bijoy, Bijoy Bayanno (52), Avro, UniBijoy, Provat compared. Layout chart, free downloads, install guides for Windows, Linux, macOS, Android.
GitHub issue to production in 40 minutes — automated Claude Code workflow with pre-commit, CI/CD, and PR-review feedback loops to ship 90%+ merge-ready code.
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.
Slack token formats explained — xoxb, xoxp, xoxc, xoxd. Plus how to use xoxc/xoxd browser session tokens with the official Slack Go SDK without creating a Slack app.
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.
Why selecting GenAI tools for an enterprise is challenging, and why building your own foundational capabilities might be the best approach for sustainable innovation.
Learn how the Model Context Protocol (MCP) enables AI models to access external tools and services, breaking free from their isolated environments to perform real-world tasks.
A practical Bash script that collects Git repository data to provide context for AI models to generate meaningful changelogs automatically.