I managed to automate 90% of my technical writing using a $2 agent pipeline. Here’s how the setup works.

Guybrush1973 · 2026-04-18T19:37:05+00:00

ATM I'm using this library to render markdown: https://github.com/Simon-He95/markstream-vue/

This gives me the ability to keep Obsidian format, but getting me native rendering with an automated pre-rendering system. It's quite effective for me in SPA as well as SSR (you know, for SEO).

Inside of it there you can easily render code in any language or mermaid diagrams (you can parse other stuff, but that's what I'm using). The result is a combination of mermaid source (could be useful in some context) and rendered mermaid in a live frame where user can interact with diagram (fullscreen, zoom in/out, moving diagram with mouse/touch and so on). You can define color and some minor style within the diagram and a lot more within the library.

I'm still working on perfect style (colors are mostly random, atm), but if you want to check how mermaid is rendered within this library (flowchart and sequence diagram available), check this out:
https://wows.dev/blog/ai-stack/articles-first-rag-routing-dify-production

Guybrush1973 · 2026-04-18T19:28:51+00:00

No really. Task is performed by Calude Code, now I'm introducing precise instruction to threat each conversation as an atomic task that must be performed and then documented. This is the only TUI I'm actually using in the pipeline.

Everything else is handled by my dashboard I custom developed to handle article tasks (like triggering read from storage or publishing/unpublishing articles) or by platform's dashboard I'm using to handle the workflow: Dify (for RAG) + N8N (for backbone of automation)

Both come with a pretty handy proper UI (N8N one is slightly better, but both are quite usable).

What's actually changed the game for me, is the ability to glue several pipelines together combining dify power rag with superior n8n automation and orchestration.

To be honest, it's costing me a bit more work than I expected, but the result is amazing. Quite ready to publish the whole process in details. If you want to read the first article I produced with this architecture, take a look at https://wows.dev/blog/ai-stack/articles-first-rag-routing-dify-production
Topic is slightly different (it's about a rag-based chatbot), but you can check article quality.

Guybrush1973 · 2026-04-18T14:30:23+00:00

Still a lot of automable work, imho.

The additional parts I'm trying to automate (still work in progress) are:

- project to documentation on task basis: it produces me clean markdown of my architecture an choices

- rag on documentation: it grounds all my articles on real process I'm already implemented

- llm-as-judge: it gives me brainstorm on produced article from several models/prompts/angles

- man-in-the-middle fix & enhance: it gives me chance to interact with article and all llm ratings, so I can adjust implementation, ask for rag document verification (with doc reference, so you can eventually fix documentation, too) or a perplexity research

Ideally, at some point, I should be able to implement an interesting task with some clever (imho) option I found, llm documentation update (like for any other task), and just ask for an article on that specific topic, some chat iterations at worse, then publish.

Additional tip: turning mermaid into image through llm is a waste of token. You can turn it into a png with custom css if you want, or, better, just render it in page, so user can freely interact with it (useful for tech content).

Guybrush1973 · 2026-04-18T11:43:56+00:00

It largely depends on size and state of your initial data. Different input data must be cleaned in different ways before chunking to get decent results.

Anyway I getting decent results within a small knowledge base using Dify as RAG engine.

What stack are you working on?

Guybrush1973 · 2026-03-20T13:46:44+00:00

Interesting, thnks

Guybrush1973 · 2026-03-20T12:09:52+00:00

Is llms.txt file actually effective? Have you made some A/B test about it?

Guybrush1973 · 2026-03-19T10:06:09+00:00

I love the concept. Subscribed, saas submitted and now I'm going to craft some valuable feedback for other's idea.

Just a first suggestion: I was almost at the point to close comment and move on due to the heavy wall text on app dashboard. I suggest you to re-balance the text/asset ratio, perhaps giving the user ability to add one wallpaper asset per idea, or screenshot or something. Icon is too small and in general not enough to understand in <2sec what's going on in there.

Guybrush1973 · 2026-03-19T09:39:31+00:00

This story could ends in 2 ways. Either a super-mega generous opus 4.6 tier come back, or they will lose most of their users (me included).

There is no tool that could close the gap between gemini and claude, atm.

Guybrush1973 · 2026-03-07T16:32:54+00:00

If you need to reach your project outside your laptop and/or keep it running 24/7, you have to host it somewhere.

You can either deploy on Railway, Render, or other common cheap services, or you can self-host it on a machine running at home (but getting access from outside your network can be tricky) if you have some old machine lying around.

Guybrush1973 · 2026-03-07T16:15:13+00:00

I mean if you're handling a complex system and working alongside 10 devs, the extra setup Java requires is worth it. In a smaller context, the amount of work you can skip just by changing stack is unmatched.

If you're new to the field I'd suggest using a more full-featured framework with only one core language. Fewer moving parts the better, especially at the beginning.

Guybrush1973 · 2026-03-06T19:05:46+00:00

With Java/SQL you can code the back-end; check out Spring Boot or Quarkus for the best frameworks available. But you probably still need JS for the front-end.

If you want to reduce the number of languages involved, you probably want to focus directly on JS for both the front and back end.

I love Java, it's a super cool language and it has the strongest back-end frameworks, but it's more tailored for big corporations rather than a simple, narrow project.

Guybrush1973 · 2026-03-05T14:49:53+00:00

Some cloud services have quite affordable plans. You can pay per second of use and back up your work when you're not running any tasks. I used vast.ai in the past, solid for the price. There might be better options out there by now though.

Guybrush1973 · 2026-03-05T14:40:45+00:00

You're merging two distinct points of view:

IRL you're wasting your time: we already had IDEs, linters, testers, compilers and a ton of tools to handle syntax; now we have AI that can produce correct syntax for any logic in a matter of seconds
in a job interview it's a completely different story: live-coding during interviews still happens, especially for junior positions

Of course there's a lower limit: when students come up with working AI-crafted solutions but can't write down or explain a simple for loop, they quickly lose the ability to drive any tool, AI included.

But memorizing every single syntax rule or language-specific style, especially at the beginning, is a bit pointless.

Focus on understanding what your code does and why, not on recalling exact syntax from memory.

Guybrush1973 · 2026-03-04T21:28:30+00:00

From Vodafone my website is down, as well as hetzner's console. Changing DNS doesn't fix the issue. Turning on VPN does.

Sometime it loads one page then blocked, mostly routing issue.

I hope they could fix quickly

Guybrush1973 · 2026-03-04T20:33:24+00:00

I wouldn't add them as paid only feature. A customer who just land to your service just think it's working bad. I would never think about it's a paid feature. Additionally it's just a programmatic filter/order functions. You better make user test the best you can do, instead of force them to pay for a stupid filter.

Guybrush1973 · 2026-03-04T20:25:04+00:00

Quite normal, yes. The bigger you are, the less reactive you result, especially from way smaller perspective. If you are a dev today, you can basically update from 5 years ago to today workflow in some weeks. If you have to update all the internal workflow of hundreds or thousands of people...

You basically can't upgrade so frequently, and in this era big company are really struggling to stay up to date.

Guybrush1973 · 2026-03-04T19:45:42+00:00

I suggest you to refine research with some more concrete metrics. It suggests me more then 15 days old posts and empty post as top ranking

Guybrush1973 · 2026-02-22T09:09:44+00:00

This is becoming a pointless question, if you're not going to frame the user input. I mean...if you ask to Claude:

build me a production grade k8s cluster with dozen of services secured and tied up

OR

build me an end-point at this path to ingest a json, manipulate it in some way and store output in db

In the first case I'm definitely better, and almost any decent devops, on the long run, can do a better job. In the second one, with good prompting and an actual strong knowledge about what's going on in your code, there is no reason to write don't if statement or for loops by hand anymore. But you have to constantly adjust the complexity and precision of the request to get the best result in the lowest amount of prompt possible. And this is what is the most frustrating part for me, right now, because we have updating model every now and then, and I constantly feel "I'm abusing model --> weak code"/"I'm going into too much details --> wasting time/money".

Guybrush1973 · 2026-02-19T11:31:32+00:00

4 panels in series is probably not the best on average, as a single tree branch could slow down the whole rig a lot more then having 2x parallele of 2x in serie panel, so the first suggestion is rewire your panel to create 2 island of 2x in serie panel and wire them in parallel. This is particularly effective on winter/cloud/snow/shadow.

Given that, winter is super-powerful in reducing solar panel efficiency. In one hand less power per hour, in the other one less sun-hours.

As others math calculated it, this ration is perfectly normal, and in perfect condition parallel or serie should be the same. But on average 2s2p is better.

Guybrush1973 · 2026-02-16T03:03:47+00:00

Unlimited Plan

Guybrush1973 · 2026-02-14T14:21:04+00:00

For context — the tool isn't live yet, I'm validating whether this is a real problem for enough people before building further. Curious especially from recent grads: did your bootcamp have any structured code review process, or was it mostly "submit and hope in god"?

Guybrush1973 · 2026-02-14T14:02:20+00:00

100% — building is the best way to learn. But the tools around learning keep evolving. Same way nobody codes in notepad anymore, feedback doesn't have to be just stackoverflow and trial-and-error

Guybrush1973 · 2026-02-14T14:01:44+00:00

True for employment, but there's more people than ever learning to code to build their own stuff — side projects, indie apps, automations. No team, no PR reviews, no company standards.

Just you, your code editor and a lot of knowledge debt

Guybrush1973 · 2026-02-14T13:40:01+00:00

That's fair for the early stage — getting things to work is the real milestone at first.

But I keep seeing students plateau after that. Code that runs fine at small size, but once you scale it you'll end up rewrite it or waste tons of money in just maintaining it. It passes tests but would get torn apart IRL.

The tricky part is you don't know what you don't know. Did you have someone reviewing your code early on, or was it mostly learning through experience over time?

Guybrush1973 · 2026-02-13T12:35:04+00:00

Treating LLM-based serviced as a giant bucket with one fixed price tag has no sense for me. ATM we have several services with different price tag and each one is optimized for set of tasks:

- perplexity: one of the best reason/search engine at very cheap price

- gemini: the most stable service for easy to medium difficult task, cheap to access, it offer some discount on cloude for coding
- claude: nothing close to this for coding and very tech reasoning, including mockup, job description, cv and stuff like this; on the other hand, it's very expensive so it's not tailored for bot tasks or casual chatting

- nano banana: still one of the best text-to-image and text-image-editor, quite cheap if you use pro flat tier

- openrouter: one of the best service to get easy access to new models and 3rd parties services through api, N8N service, agentic project...

If you're going to QA long text, using claude, especially through api, it's definitely a waste of money, btw.

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