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Mr.D / Engineering topics
Open source
Open-source tools by D. Klincharski, built around repeated engineering work: setting up a workstation, deploying infrastructure, checking cloud accounts, and finding failed pipelines. Browse the repositories alongside notes and experiments explaining the work behind them.
About D. KlincharskiBuilds / Tools / Labs
Projects to explore.
01
Open source
DevOps SetupBootstrap consistent Windows and macOS engineering workstations from maintained package lists.
02
Open source
AITOSet up token-efficient AI coding workflows and measure the results.
03
Open source
Terraform ECS / FargateAn AWS reference stack connecting containers, load balancing, storage, and optional data services.
04
Open source
CostHiveCombine open-source FinOps scans into a report ranked by estimated AWS savings and confidence.
05
Open source
SentryHiveRun established AWS security scanners with one read-only command and produce a traceable report.
06
Open source
PipelineHiveSee GitHub Actions pipeline health across selected repositories and jump straight to failed jobs.
Articles / Experiments
Notes from the work.
01
Sep 09, 2026
I scanned an AWS account with 4 open-source FinOps tools. Here's what each one missed.Infracost, Komiser, Cloud Custodian and OpenCost, run against the same account. Each found something the others could not see, and all four shared the same blind spots.
02
Aug 26, 2026
How I audit an AWS account with Prowler, ScoutSuite and SteampipeA practical walkthrough of the three open-source tools I reach for when someone hands me an unfamiliar AWS account and asks "is this okay?"
03
Jul 28, 2026
MCP v2 Migration Guide: What Changed and Should You Upgrade?A practical MCP v2 migration guide covering SDK changes, the stateless 2026 protocol, compatibility risks, and when upgrading is worth it.
04
Jul 28, 2026
Should Every MCP Server Ship with an Agent Skill?An MCP server must stand on its own. Learn when an optional agent skill adds real value—and when it only hides a poor interface.
05
Jul 28, 2026
15 Rules for Designing Token-Efficient MCP APIs for AI AgentsFifteen practical rules for MCP APIs that reduce tool calls, context bloat, latency, and cost without starving AI agents of useful data.
06
Jul 23, 2026
The small tools we built for ourselves and decided to give awayOur open-source toolbox came out of daily annoyances, not a product plan. Here's what each tool does and why we use it ourselves.
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