R1D33 Salesforce DX with Continuous Integration
One of the most powerful parts of Salesforce DX and the new scratch org model is that it allows you to quickly create fresh orgs for doing unit and integration testing of your code.
The trailhead module on Continuous Integration walks us through getting this working on TravisCI.
The sample project on GitHub is well documented and is a great starting place for getting this working on a CI provider of your choice. Once you are up and running things are pretty straightforward. However getting started can be a bit tricky because you need find a way to get a secret key that is used in the Oauth dance to be securely available in your CI process.
On Travis, they have a really nice encrypted file feature that lets you quickly encrypt and decrypt files on the fly. This is a perfect for this sort of thing.
I am working on getting a sample project in place for getting this same workflow to work on CircleCI and I hope to have the kinks ironed out in the next few days.
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Recent Favorite Blog Posts
This is a collection of the last 8 posts that I bookmarked.
- The contagion of fear from The Observation Deck
- The revolt of the reader from The Observation Deck
- Deeper dive: Were Touch Bar’s problems software rather than hardware? from Unsung
- Joining Cursor from Fatih Arslan
- Pluralistic: Digital sewer socialism (08 Aug 2026) from Pluralistic: Daily links from Cory Doctorow
- Pluralistic: Enshittification and Reverse Centaurs go global (29 Jul 2026) from Pluralistic: Daily links from Cory Doctorow
- AI Mania Is Eviscerating Global Decision-Making from Ludicity
- The default person from https://popagandhi.com/
Articles from blogs I follow around the net
Time
via Christopher Butler November 3, 2026Internet Archive’s alphabet
I love the Internet Archive, but I don’t love its interface. It’s just… not great all around, homely and confusing. It has some endearing qualities, harking back to the web of the 1990s without endless commerce and incessant growth hacking – Wikipedia feel...
via Unsung November 3, 2026Qwen 3.8 27B on my laptop can interpret model weights, too
Yesterday's hot paper was Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights by Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab. The paper (OK, the authors classify is as a "blog post", but it's paper-shaped)...
via Simon Willison's Weblog: Entries November 3, 2026Generated by openring