Join me on a journey where every post brings a fresh perspective. This blog is for those who are driven by curiosity and a desire to learn.
Faster agents can leave slower handoffs. A practical take on GitHub AES: review capacity, enforced stopping points, and evidence from production.
A small Azure Terraform setup wired to a pre-commit pipeline using Anton Babenko's pre-commit-terraform hooks: formatting, validation, linting, docs, and security scanning before code ever leaves your machine.
GitHub Copilot App is now open to Pro, Pro+, Max, Business, and Enterprise users. Compare it with the VS Code Agents Window and pick the right surface for each workflow.
A follow-up to the real cost of AI coding agents: how to turn usage-based billing, AI credits, model mix, and engineering outcomes into a practical KPI scorecard.
Spec-Kit and OpenSpec are two prominent spec-driven workflows for AI coding agents. They look similar on the surface and diverge sharply once you actually use them. Here's how they compare on workflow, philosophy, brownfield support, and customization.
A quick chat costs about $0.0015. A heavy agent session costs $5. GitHub just admitted flat-rate pricing can't survive this gap. Here's what AI coding agents actually cost at team scale, with real numbers from official sources.
Five customization files, one .NET Aspire repo, one complete agent setup. How AGENTS.md, .instructions.md, SKILL.md, .prompt.md, and .agent.md work together in practice.
