Add link to fork, fix tags in other posts

app/priv/blog/engineering/2026/04-29-my-local-agentic-dev-setup-today.md

@@ -269,7 +269,8 @@ Further reading
  - [How to get started with the Pi coding agent (on a VPS)](/blog/engineering/how-to-get-started-with-the-pi-coding-agent-on-a-vps) — Setting up Pi on a VPS is easier than I thought.
  - [Smaller open LLMs now work for open agents](/blog/engineering/smaller-open-llms-now-work-for-open-agents) — A phase shift in quality and speed of open weight models and inference.
 
-- Nate B Jones had a good podcast / video this week on Apples' play with local models for e.g. legal offices who can not get their work certified if their data leaves the office, no matter how encrypted it is. [Nate B Jones on Apple and the next trillion dollars](https://podcasts.apple.com/gb/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372?i=1000763732500)0
+- Nate B Jones had a good podcast / video this week on Apples' play with local models for e.g. legal offices who can not get their work certified if their data leaves the office, no matter how encrypted it is. [Nate B Jones on Apple and the next trillion dollars](https://podcasts.apple.com/gb/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372?i=1000763732500)
+- If you want to try this out, at least one reader had success with the [Will it Blend?](/blog/engineering/will-it-blend) approach. Point your existing coding agent with hosted models at this blog post, and ask it to set Pi and Qwen up on your machine. Best let it ask you some questions on what you want to do, and look into your hardware. This is different for mac or for Linux (I would avoid Windows for this, if possible). NVIDIA is easier than AMD for GPU. I do have this working on AMD, with [Lemonade Server](https://lemonade-server.ai), but I do not know if agents will find that by themselves.
 
 Full disclosure: I am long APPL, NVDA and BABA (AliBaba, makers of QWEN). I use other hardware and models too and don't have much Nvidia hardware.
 
@@ -282,7 +283,7 @@ What was remarkable to me in the Field Report above is that the writer chose Ope
 
 > Why don't I just use [..] Claude Code? I had problems due to a lack of optimization for small context windows. Long-running tasks that complete large projects independently matter for me, so no Claude Code. 
 
-So maybe my intuition is right. I am not doing long running tasks like I was doing with Cladue Code _yet_ with Pi and Qwen. This shows it is possible, and might even be better. Detailed prompts and deterministic harnesses make the difference between frontier models and harnesses smaller. More about that maybe later. I hope this helps you, let me know if you have any questions or remarks. 
+So maybe my intuition is right. I am not doing long running tasks like I was doing with Claude Code _yet_ with Pi and Qwen. This shows it is possible, and might even be better. Detailed prompts and deterministic harnesses make the difference between frontier models and harnesses smaller. More about that maybe later. I hope this helps you, let me know if you have any questions or remarks. 
 
 Acknowledgements
 ----

app/priv/blog/engineering/2026/07-13-synthetic-tdd.md

@@ -1,7 +1,7 @@
 %{
   title: "Synthetic TDD",
   author: "Willem van den Ende",
-  tags: ~w(Vocabulary AI TDD),
+  tags: ~w(Vocabulary AI TDD Synthetic-TDD),
   description: "Synthetic Test Driven Development is when you have a coding agent generate the tests and the code, and maybe also do the refactor step with an agent.",
   published: true
 }

app/priv/blog/engineering/2026/07-28-learning-to-swim-test.md

@@ -1,7 +1,7 @@
 %{
   title: "Learning to Swim test",
   author: "Willem van den Ende",
-  tags: ~w(ATDD ComprehensionMaxxing CollaborationMaxxing SyntheticTDD Refactoring),
+  tags: ~w(ATDD ComprehensionMaxxing CollaborationMaxxing Synthetic-TDD Refactoring),
   description: "The faster you can build, the more pressing communication with others and understanding together becomes. You can build software to promote understanding and collaboration, but where do you start? I found a foothold in the 'swim tests' paper and existing integration tests.",
   published: false
 }

app/priv/blog/engineering/2026/07-30-retort.md

@@ -1,7 +1,7 @@
 %{
   title: "Retort",
   author: "Willem van den Ende",
-  tags: ~w(Synthetic TDD pi.dev coding-agents evals ),
+  tags: ~w(Synthetic-TDD pi.dev coding-agents evals ),
   description: "At first I was bemused by Retort, Adrian Cockroft's whole stack coding agent evaluation tool. It is growing on me, and might be useful as a starting point for custom evals.",
   published: true
 }

app/priv/blog/engineering/2026/10-20-video-transcriber-turn-your-videos-into-text-with-slides.md

@@ -91,3 +91,6 @@ See you next time!
 In [Will It Blend](https://willemvandenende.com/blog/engineering/will-it-blend)  I went into more detail in how I adjust other peoples' software to my needs. 
 
 Last year I wrote for QWAN on how I see my evolution of knowledge and tool use, in the age of Large Language models: [Stochastic to Deterministic](https://www.qwan.eu/2025/12/11/stochastic-to-deterministic.html). I do more with language and other kinds of models than before. But I still turn things I repeat into tools. Writing is still hard, but [removing accidental friction, like adding images to this blog](/blog/engineering/removing-a-special-cause-of-variation-in-small-steps) from my writing and publishing flow keeps paying off. 
+
+I published [my fork of Video Transcriber](https://github.com/mostalive/video-transcriber), in the spirit of "Great artists ship". It is [make it run, with tests](/blog/engineering/synthetic-tdd). I must admit, I let [my agent](/blog/engineering/tag/pi.dev) ignore the instructions to write one test at a time, red-green-refactor style. I find that interesting to do occasionally, especially as a workshop, to 'feel' a model up close, or when I guide a team through entangled legacy code. In this case, I wanted the outcome, and that goes faster with [Synthetic TDD](). Express intent, set up feedback loops, try it out, and do another round.
+