tinthedev
But, I did put in `<link rel="alternate" type="text/markdown" href="/home.md" title="...">` as a hint for using `Accept: text/markdown` on the same URL. Or going to .md versions of pages. Did it in a "sprint" of optimizing for other devices, screen readers, and LLMs. It is supported on the full page, posts included. Same point as the draft preview, less color.
Gets you 95% of the way there. The agents can take the .md and skip the layout. And I think `curl -LH "Accept: text/markdown" tinthe.dev` is pretty readable, too.
I'll bookmark it and probably adjust the measurement methods for future review purposes. I've often found my LLM workflows to produce inane and overly complex code, and allowing me to see a single figure will allow me to more easily eval generated code.
I'd love to hear people's lived experience, though. I think heuristics in this space still allow for a lot of optimizations of code generation and pipelining.
Software Engineering is in this weird limbo where a whole subsection of the industry thinks it can be a blue-collar "I just code" type of contributor... those types are going to slowly be eliminated.
But for the majority of us, the job always was more involved than just code. And that's white-collar work, through and through.
Civil engineers never could scale to pouring concrete themselves, thus the blue/white collar split. Software doesn't have that problem.
It feels like trying to overcome bad codebase hygiene by throwing more tools at it, and wallpapering the mold over. I've found that codebases left entirely to LLMs suffer from this gravely, but with even a bit of effort - you'll get outsized returns. Don't let the agent smosh up everything into a giant ball of code. Separate concerns, build services, do the architecture step of the software design with a bit more care than vibe coding.
A bit of a rant, yeah, but I don't see why tools like this exist (and ask you to curl a script into bash, no less). You're doing stuff a bit wrong if grepping is the bottleneck.
Like using a calculator. I use one, but I still use paper math too, and calculate manageable sums/multiplications in my head. I'd feel dull otherwise.
GPS. I use one, but I still pay attention to the route and keep a sense of direction. “Why bother knowing where you are when the machine can tell you?” isn't really an argument for outsourcing your own brain.
Is it a way to develop critical bits of code, depths of your business logic? Absolutely not. Can it solve a lot of boilerplate and support logic? Absolutely yes.
Seeing "AI Companies as Bad Actors"... can't fully disagree there. There's far too many far too dodgy things about these businesses, and I trust them as far as I can audit them (not very far). And the missing argument's the cognitive decline of using these things to think for us. I try to keep myself sharp by still manually doing a fair amount of things in my life. I refuse to automate _everything_ - especially the stuff I do for fun. Having an LLM manage hobby-adjacent stuff is a quick trip to burnout land, especially once fixing the thing becomes "the hobby"... and it does.
The same way I'd not trust an SRE when they've "got a feeling", I don't intend to start trusting Jev. The audit of process doesn't allow audit of reasoning.
I remember being astounded by how the water "amplifies" the explosions - so while a hand grenade blast is very dangerous on the surface, under the sea it becomes far more horrific prospect, due to the water transferring the blast more efficiently. Nerve wracking stuff, when you're thinking about diving down there - imagining that a bomb dozens of meters away could pulverize you.
Still pretty rare, thankfully. I applaud the diver bomb disposal squads - some of the most dangerous work there is.
So far, I've used that, a UNIX-socket inspired approach to push/pull with a remote git (hosted on my server) that the branches/files can be tossed to, and pulled via other agent. Skill instructs them to make a copy-paste ready instruction for the other prompt.
Why'd Jotbus be worth the overhead?
Location: Brno, EU (UTC+1)
Remote: Yes, 100%. On-site travel possible.
Willing to relocate: No
Technologies: Python, TypeScript, Go, PostgreSQL, Redis, Kafka, Flink, ClickHouse, AWS (Lambda, Cognito), Docker, CI/CD. Flexible on the rest.
Résumé/CV: https://www.tinthe.dev/
Email: tinmarkoviccs (at) gmail.com
Comfortable across backend and the data layer. Frontend when it serves the product (TypeScript / React), not as a specialty. I use LLMs. I don't outsource the thinking to them. If the product grew faster than the architecture, that's the job.Not a cog-in-the-machine hire. Happy to start on a scoped piece of work if you'd rather test that than interview.
Location: Brno, EU (UTC+1)
Remote: Yes, 100%. On-site travel possible.
Willing to relocate: No
Technologies: Python, TypeScript, Go, PostgreSQL, Redis, Kafka, Flink, ClickHouse, AWS (Lambda, Cognito), Docker, CI/CD. Flexible on the rest.
Résumé/CV: https://www.tinthe.dev/
Email: tinmarkoviccs (at) gmail.com
Comfortable across backend and the data layer. Frontend when it serves the product (TypeScript / React), not as a specialty. I use LLMs. I don't outsource the thinking to them. If the product grew faster than the architecture, that's the job.Not a cog-in-the-machine hire. Happy to start on a scoped piece of work if you'd rather test that than interview.
EU startup built an AI system that matches Mythos on zero-day discovery
LLMs, Carpenters, and IKEA Code
The 505-Commit Invoice
I had to do therapy on my AI
Handling errors this way is possible in only very brittle and simplistic software.
I mean, you're contradicting your very own argument. If this was the primary/idiomatic way of handling errors... then Go should just go the way of most languages with Try/Catch blocks. If there's no valuable information or control flow to managing errors... then what's the point of forcing that paradigm to be so verbose and explicit in control flow?
None.
Also, if you don't need the python bits, you just skip Python :)
Markdown is for keeping things simple.
There's plenty of of "proper" markup languages and full programming languages to actually write code in.
Why do we need a hybrid program like this, which is not as simple as pure markup, and is not as powerful as a proper templating language?
I personally just run markdown -> HTML/CSS -> python templating (Jinja or something) -> PDF/HTML
As a dev, I find this works the best for me. But I also cannot imagine that learning Quarkdown would improve my workflow meaningfully, and I also cannot imagine recommending someone learn such a niche product instead of having them learn HTML/CSS and Python (Jinja if they need fancy). Seems like a comparable amount of effort.
The main thing to focus on here, however, is that this offering would not be for your usual audience. If that's all you expect from it, I would rather not bother. It's a separate market, and while there's some bleedover, I think you'll be surprised how different they are.
You can always try to play it safe and put in a contact form for discounted quotes (nonprofits, individuals, etc). This depends a lot on your capacities, but it could quickly tell you if you're pricing out desirable customers.
Email: tinmarkoviccs (at) gmail.com
I'm a software engineer who helps media and research organizations turn their internal knowledge into external-facing APIs. Whether your data lives in spreadsheets, PDFs, Airtable, or Jira, I'll help you extract it, build an API around it, and integrate it with platforms your customers already use.
- Fixed pricing (no surprise bills, no scope creep)
- Results guaranteed - or you don't pay
- Autonomous delivery - I take care of the details so you can focus on what matters
- Used by orgs like the NBA, Kiwi.com, and Redfolder Research
Let's chat! Reach out to me:
- via email at tinmarkoviccs (at) gmail.com
- via linkedin https://www.linkedin.com/in/tin-markovic
Feel free to browse my web to learn more about me at https://tinthe.dev/ :)
Email: tinmarkoviccs (at) gmail.com
Tech/Resume/CV:
I'm a software engineer who specializes in turning internal knowledge into well-documented, external-facing APIs. I’ve worked with teams at the NBA, Kiwi.com, and Redfolder Research to help them expose structured data from sources like Airtable, spreadsheets, PDFs, and Jira — with minimal lift on their side.
I’m open to freelance, contract, or full-time roles where I can lead API design and delivery, particularly in media, publishing, or research-focused teams.
- Production-ready APIs from messy data
- Fixed-scope freelance projects or long-term roles
- Async-native, autonomous, results-focused (can run self-managed)
- Worked in stacks based on [Python, JavaScript/TypeScript, Golang] but I'm flexible on technology choices
Reach out to me:
- email at tinmarkoviccs (at) gmail.com
Browse my web at https://tinthe.dev/
Why limit your price to LTV for the offline-only version? Think of it as a full blooded product, instead of trying to squeeze it into the SaaS thinking model you've got already.
Plenty of enterprise (and such) clients wouldn't balk at all at a $500 fee. Brainstorm your target market and price accordingly. In other comments, you're mentioning the support burden - I don't think you should sell the offline version if you're not ready to lift that burden, and thus should price it in a way where this is attractive to you.
Offline versions are usually used by more demanding customers in the current day and age - the web is where you go for the user-friendly version.
I haven't seen people negatively comment on simple AI tooling, or cases where AI creates real output.
I do see a lot of hate on hype-trains and, for what it's worth, I wouldn't say it's undeserved. LLMs are currently oversold as this be-all end-all AI, while there's still a lot of "all" to conquer.
Dynomight: I Don't Like NumPy
Email: tinmarkoviccs (at) gmail.com
Tech/Resume/CV:
I'm a software engineer who specializes in turning internal knowledge into well-documented, external-facing APIs. I’ve worked with teams at the NBA, Kiwi.com, and Redfolder Research to help them expose structured data from sources like Airtable, spreadsheets, PDFs, and Jira — with minimal lift on their side.
I’m open to freelance, contract, or full-time roles where I can lead API design and delivery, particularly in media, publishing, or research-focused teams.
- Production-ready APIs from messy data
- Fixed-scope freelance projects or long-term roles
- Async-native, autonomous, results-focused (can run self-managed)
- Worked in stacks based on [Python, JavaScript/TypeScript, Golang] but I'm flexible on technology choices
Reach out to me:
- email at tinmarkoviccs (at) gmail.com
Browse my web at https://tinthe.dev/
Email: tinmarkoviccs (at) gmail.com
I'm a software engineer who helps media and research organizations turn their internal knowledge into external-facing APIs. Whether your data lives in spreadsheets, PDFs, Airtable, or Jira, I'll help you extract it, build an API around it, and integrate it with platforms your customers already use.
- Fixed pricing (no surprise bills, no scope creep)
- Results guaranteed - or you don't pay
- Autonomous delivery - I take care of the details so you can focus on what matters
- Used by orgs like the NBA, Kiwi.com, and Redfolder Research
Let's chat! Reach out to me:
- via email at tinmarkoviccs (at) gmail.com
- via linkedin https://www.linkedin.com/in/tin-markovic
Feel free to browse my web to learn more about me at https://tinthe.dev/ :)