Tech
-
Configuring my own internet – router on a stick with Netia and MikroTik.
Configuring my own router for internet was pretty… hectic. The whole issue is that ican`t be at two places at the same time. Some of us nerds like to have stuff on cable instead on infitnite packets floating around. Since i am paying for 1gbps i would like to have 1gbps . Even though i do had around 300 mbps on my wifi (v6) it is not the point. It just wasn`t right. My old laptop barely got any signal if i went to my working space. Laptop`s wifi was slower and the signal falloff was drastic, and it got lost from time to time. On my desktop too. Developers…
-
Where to get data for my machine learning project
Where to get data for my machine learning project is a olot simpler. There are multiple sources You can use freely. Getting good data is usually harder than building the model itself. Without solid data on the input there is no way you wil get any decent answer. The upside of this struggle is that there’s a huge amount of public data out there ready for grabs. On the other hand of you get bad data you end up with something like below…. ( bad data beeing the memory registry … ) Remember that it is up to You to decide if the data is worth anything. Good luck 😉…
-
Improve your AI instruction on the fly …
Improve your AI instruction on the fly is easily doable with a simple set of generic instructions. Start as always with something basic, nothing fancy. Then move forward keeping in mind my favorite principle “First get it work, then make it better“. This will improve your instructions for any llm on its own. Below an example that works for me. Especially when i tell my LLmem that it is a nice soluion, i like it and good job. Instruction example That`s all folks ! Improve your AI instruction on the fly is nothing more then a feedback loop that is computed every time. Remember to keep overall instructions not too…
-
How to make an icon for 15 cents ?
How to make an icon for 15 cents ? Use AI. Try locally something like https://huggingface.co/models?pipeline_tag=text-to-image&sort=trending&search=ideogram This is how i made an icon for my browser extention and it cost me 15 cents. In Poland i wouldn`t buy any kind of ice cream for that and here… i have myself a nice icon for my browser extension / plugin. Best way to generate an SVG logo, for me, personally. Just use the openrouter chat option and provide some inputs, leave eveyrthing on auto. Why SVG? Cause You can easily edit it in any txt editor. It is liightweight. Scales. Cause it is text and not binary data. You can remove…
-
Anthropic Opus 4.5 and sonnet hardware requirements ?
Anthropic Opus 4.5 and sonnet hardware requirements according to perplexity and hugging face. Let`s face it, we will be running multiple models with specialized skills and they will be a fraction of the latest and greatest. Who does have the hardware to run it anyway 😉 Power consumption is also nothing easy to handle, a lot of solar panels or some small creek next to the office could do but otherwise… Perplexity told me that it costs…. On the other hand for gpt-oss-120b We’re releasing two flavors of these open models: MXFP4 quantization: The models were post-trained with MXFP4 quantization of the MoE weights, making gpt-oss-120b run on a single…
-
Developer vs. Engineer in Software and AI: What’s the Difference?
The terms “developer” and “engineer” are often used interchangeably in tech, but there are meaningful differences in how they approach problems, especially in software and AI. At a high level: Doesn`t matter the title. We are still the part of the same team. In AI, this distinction becomes even more interesting, because AI systems are inherently probabilistic and data-driven, unlike traditional deterministic software. Developer vs. Engineer: Core Mindset Developer Mindset In AI, an AI developer might: Engineer Mindset In AI, an AI engineer might: As one analysis puts it: “Software engineers build deterministic systems with predictable outputs, while AI engineers build systems that are probabilistic and require managing uncertainty.” Key…
-
What is heuristics ? Key Definitions and 10 biased examples people use without any data
What is heuristics ? Fancy word people tend to use but i found not all of them know what is it. Heuristics are simple, practical mental shortcuts that help us to make decisions, solve problems and form judgments. Often without any data or with limited information, little analysis, lack of formal reasoning. Think about a stereoptype. Steoretypes are heruistics. Stereotype -> heuristic i.ex big glasses -> good at math. They’re not guaranteed to be correct or optimal, but they’re fast and usually “good enough” for everyday use. As a species we tent to simplify so we can use as little energy as possible. Double edged sword if You ask me.…
-
Markmap vs Mermaid for Spec-Driven Development (SDD)
Markmap vs Mermaid for Spec-Driven Development You will consider sooner or later. When You have to go “full on AI” documentation stops being a nice-to-have and becomes a must be part of the product. We need to convey a lot of information, with hopefully as little text as possible so we can easily read it and digest the information. Two popular options for Markdown documentation features are Markmap and Mermaid. They solve different problems, and the best choice depends on whether you want fast idea mapping or more structured diagrams for flows. When to use Markmap Markmap turns Markdown headings and bullet points into an interactive mind map. Useful for…
-
Productive struggle vs AI slop
Productive struggle vs AI slop is quite the topic these days. On one hand we have to do the hard, boring, frustrating work. Do it long enough to learn the whole lot, reshape skills, gain confidence. Opposition of escaping to quick fixes with or without AI. When used in conjuction with AI, we should still keep the struggle but without the pointless friction. That way more energy and cognitive power goes into craft and progress, long-term growth… instead of refactoring some legacy code and working over things that should not be that hard in the first place. What is productive struggle? Productive struggle is the time and space where a…
-
Statics VS AI code analysis ~13 tools
Statics VS AI code analysis works best using the pros from both words. Go hybrid ! Static tools understand the syntext, hardcoded parameters and are very strict. On the other hand AI understands context, can figure out business logic, adapt the codebase. Logic flaws or performance bottlenecks rule-based scanners might miss, AI will put more effort into that. Static analysis limits Static tools scan for syntax errors, style violations, and basic security patterns using fixed rules. Always consistenst, very fast but might generate false positives, ignore business logic, and require manual rule overrides. How often did You use @typescript-error 🙂 Do You code for the linter to pass, logic to…


























