Interesting stuff I found - March 2026
Michaelkc.Extensions.Configuration.Doppler
Not found, but created - a .NET configuration provider for Doppler, something they seemingly intended on delivering 4 years ago, but never finished. It turned out somebody already did this but it was a fun little exercise in agentic coding, so I wrapped it up. Maybe you like Apache license better than MIT ;-)
In the sample, I also demonstrate a technique I have previously used with Azure Key Vault, where an entire JSON configuration object is loaded out of a single key. This allows easy transformation from appsettings.json to Doppler (and with Doppler the editing experience is okayish, unlike Key Vault where you more or less need custom tooling to pull it off)
It also gave me a chance to apply nuget trusted publishing
Michaelkc.Extensions.Configuration.Doppler
Michaelkc.Extensions.Configuration.Doppler package
A Language For Agents
Agents prefer strong typing, loose syntax. Python (significant whitespace) and dynamic languages in general are not ideal.
To the list I would add compiled languages where source is not available outright, but that can be somewhat mitigated with skills.
“Nordic” ANSI keyboards on laptops
My old Thinkpad is dying, and I am in the market for a new one. To my dismay, HP and Asus has started supplying the nordic market with ANSI-keyboard (one-row enter key vs the traditional two-row ISO variant), with nordic characters painted on.
This bums me out, as HP is making some really slick hardware at a good price point. But not going to retrain all that muscle memory. I guess Lenovo will get my business again…
EDIT 24/03: Picked up a Lenovo Yoga Aura 14” with Intel U7-258V and 32 GB ram for 5.500 DKR (~USD 850), by trading in an old1 PC.
Minions
Price for best name for “semi-autonomous coding agents” goes to Stripe - I hope “Minions” will take as an industry standard. But what is up with that page background?
Minions: Stripe’s one-shot, end-to-end coding agents
Peli’s Agent Factory
Similar in spirit to Minions, but built on regular GitHub Actions / GitHub Copilot (or Codex/Claude/Gemini), the agent factory looks really interesting. I have started trialing some of the workflows on a non-critical repo.
Welcome to Peli’s Agent Factory
AI Benefits - But at What Cost?
I have dialed down my attempts to keep up with the latest LLM coding news, as drinking from the firehose is very tiresome. Still, being 95%+ of my Tech Feed on Linkedin and Twitter, a lot of stuff goes by, and I try to pick up the important stuff. But at this point, I would rather focus on actually using it for building real features, rather than chase the latest “Ralph Wiggum”-style hyperbole.
Anyway, this perspective on the actual costs of the AI infrastructure is interesting. You can only keep up turning $100 into $10 at scale for so long - but at this point I think it is hard to predict if the endgame is going to be price hikes, cheaper-per-token models (ideally runnable on consumer hardware) or AGI (unlikely but…)
AI Benefits - But at What Cost?
Two Beliefs About Coding Agents
“Most talented developers do not appreciate the impact of the intuitive knowledge they bring to their coding agent.”
I think this is accurate. When I see Uncle Bob, David Fowler and Kelly Sommers report great success with agentic coding, I am sure they are pouring tonnes of knowledge into their prompting. I do the same; over the last two days I had Copilot code up first an implementation of dPoP-RT then of dPoP with Bearer access tokens, both on top of Duende IdentityServer. If I had not been quite specific about what I wanted during planning, I am not sure the resulting implementations would have useful. Then again, I am sure that I could not deliver that as a potentially shippable feature in a day without LLM assistance.