Test Double Dispatch: September

Test Double Dispatch: September

Inside this month’s edition:

  • Turn observability into a team strength
  • Ship stronger, faster, better: A MedTech story
  • How to actually enjoy PR reviews (Yes, really)
  • Rediscover web simplicity with HTMX
  • Bring runtime type safety to Python with Pydantic
  • (Re)Introducing modern .NET
  • Virtual office hours (no strings attached, for real)

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Three people prepare to embark on a journey, holding a compass, map, and binoculars

Turning observability into a team strength without a big overhaul

Gabriel Côté-Carrier documents a stepwise path—structured logging, simpler queries, sharable dashboards, docs, demos—that made observability durable.

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Rubber duck in doctor's coat with stethoscope

Reduce deployment time by 50% balanced with quality

We standardized logging, templates, and rituals across 50+ microservices and Azure functions—accelerating delivery and leveling up engineering practices for lasting impact.

Read the case study

Two people discuss a pull request review

Why I actually enjoy PR reviews (and you should, too)

Robert Komaromi reframes reviews as a learning engine with concrete moves—templates, visual aids, smaller diffs, pairing—that build trust and sustain velocity.

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Two monitors show incremental changes to a web development project

Build with HTMX: Simplify development with a return to fundamentals

David Mosher shows how HTMX trims duplicated logic and deployment headaches common in SPA stacks—keeping teams focused on maintainable, comprehensible software that ships.

Watch the demo

A boy stands in front of a circa 2000 PC

C# and .NET tools and libraries for the modern developer

Patrick Coakley busts tired myths—spotlighting .NET Core, NativeAOT, MAUI, Blazor, and a mature ecosystem that’s pragmatic for startups and enterprises alike.

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Rubber duck holding a caution sign with a snake outline

Pydantically perfect: A beginner’s guide to Pydantic for Python type safety

Kyle Adams and Gabriel Côté-Carrier pair mypy with Pydantic so domain rules live in code, not memory—yielding clearer models, friendlier errors, and more maintainable systems.

Read the guide

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