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May 2026

Django Async ORM Migration: What Breaks and When to Stay Sync
22 mins read

Django Async ORM Migration: What Breaks and When to Stay Sync

  • Backend Development
May 27, 2026May 27, 2026 Silas MontgomeryTagged About, async, django, django async orm migration effort cost, Views, Wrong

Django Async ORM Migration: What Breaks and When to Stay Sync Migration cost The boundary charges twice.

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The Case for MicroPython Over C on Edge AI Devices
21 mins read

The Case for MicroPython Over C on Edge AI Devices

  • AI/ML
May 26, 2026May 27, 2026 Mateo VargasTagged Case, Devices, Edge, MicroPython, micropython edge ai embedded deployment, Over

At first glance, C looks like the responsible choice for edge AI, but duty-cycled deployment changes the bill.

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How Ibis Lowers One Expression to Three SQL Dialects
19 mins read

How Ibis Lowers One Expression to Three SQL Dialects

  • Automation
May 19, 2026May 27, 2026 Mateo VargasTagged CPython internals, DuckDB python, Free threading, GIL removal, Ibis framework, Marimo notebooks, Mojo language, Polars dataframe, Python JIT, Rust Python

Understand ibis deferred expression backends, the main trade-offs, and the practical checks to use before relying on it in practice.

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How MicroPython’s Garbage Collector Survives on 256KB
23 mins read

How MicroPython’s Garbage Collector Survives on 256KB

  • Embedded Systems
May 13, 2026May 27, 2026 Silas MontgomeryTagged CPython internals, DuckDB python, Free threading, GIL removal, Ibis framework, Marimo notebooks, Mojo language, Polars dataframe, Python JIT, Rust Python

A forum question that comes back every few months goes like this: “Why does gc.collect() take about the same time on my Pico whether the heap is almost.

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Inside Pydantic v2’s Core: How pydantic-core Compiles Schemas to
17 mins read

Inside Pydantic v2’s Core: How pydantic-core Compiles Schemas to

  • API Development
May 8, 2026May 19, 2026 Mateo VargasTagged CPython internals, DuckDB python, Free threading, GIL removal, Ibis framework, Marimo notebooks, Mojo language, Polars dataframe, Python JIT, Rust Python

Understand pydantic core schema compilation, the main trade-offs, and the practical checks to use before relying on it in practice.

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Recent Posts

  • Django Async ORM Migration: What Breaks and When to Stay Sync
  • The Case for MicroPython Over C on Edge AI Devices
  • How Ibis Lowers One Expression to Three SQL Dialects
  • How MicroPython’s Garbage Collector Survives on 256KB
  • Inside Pydantic v2’s Core: How pydantic-core Compiles Schemas to

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