How My Agentic Engineer Turns Problems into Proved Working Solutions
The useful unit of autonomous engineering is not a generated pull request. It is a problem understood, a change verified, and an outcome proved.
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- How My Agentic Engineer Turns Problems into Proved Working Solutions
- Why I Chose the PolyForm Shield License for KSail
- How I Run KSail Autonomously with GitHub Agentic Workflows
- I Built an MCP Server into My Kubernetes CLI
- GitOps Without the Git Server: OCI Registries as a Flux Source with KSail
- Storing Sensitive Values in .zshrc with macOS Keychain
- Building an AI Assistant for Kubernetes with GitHub Copilot SDK
- Creating Kubernetes Clusters on Hetzner with KSail and Talos
- AI-Powered GitHub Issues: How I Use Copilot with Claude Opus 4.5 to Create Impactful Issues
- Building KSail: From Shell Scripts to .NET to Go
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Technical guides open on the published website.
How I Run KSail Autonomously with GitHub Agentic Workflows
A Mac Mini runs 24/7 at home, firing scheduled prompts that open PRs against KSail. Here's how I've set it up and what I've learned running it.
AI-Powered GitHub Issues: How I Use Copilot with Claude Opus 4.5 to Create Impactful Issues
How I leverage GitHub Copilot with Claude Opus 4.5 to analyze codebases, investigate context, and create well-structured GitHub issues that save time for myself and my team.