4th December 2025 - Link Blog
Django 6.0 released. Django 6.0 includes a flurry of neat features, but the two that most caught my eye are background workers and template partials.
Background workers started out as DEP (Django Enhancement Proposal) 14, proposed and shepherded by Jake Howard. Jake prototyped the feature in django-tasks and wrote this extensive background on the feature when it landed in core just in time for the 6.0 feature freeze back in September.
Kevin Wetzels published a useful first look at Django's background tasks based on the earlier RC, including notes on building a custom database-backed worker implementation.
Template Partials were implemented as a Google Summer of Code project by Farhan Ali Raza. I really like the design of this. Here's an example from the documentation showing the neat inline attribute which lets you both use and define a partial at the same time:
{# Define and render immediately. #}
{% partialdef user-info inline %}
<div id="user-info-{{ user.username }}">
<h3>{{ user.name }}</h3>
<p>{{ user.bio }}</p>
</div>
{% endpartialdef %}
{# Other page content here. #}
{# Reuse later elsewhere in the template. #}
<section class="featured-authors">
<h2>Featured Authors</h2>
{% for user in featured %}
{% partial user-info %}
{% endfor %}
</section>You can also render just a named partial from a template directly in Python code like this:
return render(request, "authors.html#user-info", {"user": user})
I'm looking forward to trying this out in combination with HTMX.
I asked Claude Code to dig around in my blog's source code looking for places that could benefit from a template partial. Here's the resulting commit that uses them to de-duplicate the display of dates and tags from pages that list multiple types of content, such as my tag pages.
Recent articles
- The Axios supply chain attack used individually targeted social engineering - 3rd April 2026
- Highlights from my conversation about agentic engineering on Lenny's Podcast - 2nd April 2026
- Mr. Chatterbox is a (weak) Victorian-era ethically trained model you can run on your own computer - 30th March 2026