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WebExtension Manifest.json permissions options list
WebExtension Manifest.json permissions options list is quite long. Let us see what we can access with our plugin for FF. This hsould inspire You to write Your own for quality of life and ease of doing things… or avoid them all together. For avoidance i would highly recommend to look into prper ad block filter and creating / adding your own. Rule : Do not scare users Remember when Your app requires and asks for access. You either explain to user in every detail what for and go with bare minimum. Just as a rule of thumb of not beeing accused of getting and selling info. It is always scary…
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Structure for instructions, agents and skills
This all is the provide a nice clean idea on how to store your files so You can make Your AI assistant / LLM network understand what and how to do. Acording to Your more or less strict rules. This should help You to achieve more repeatable results as expected. The problem : generic answer Do not confuse with generic functions, those rock ! Out-of-the-box, any LLM (here copilot) creates generic code. You could call it 'vanilla’ flavour. It doesn’t know your conventions, library preferences patterns / anti patterns. This results in something that might work but is hard to maintain, totally different then the rest of the lot and…
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Protect your work with poison ?
Protect your work with poison ? Is there no other way around. Robots.txt ? Nobody cares. Copyrights ? LOL. Fair use policy ? As long as i don`t get caught. Protect your work with poison is the oldest trick in the book, especially by plants. Most of them have to be cooked, to be eaten and digested with benefit for us. Why not doing it with our work ?I am thinking about healthy amount of protecting our work. Does it mean anyone making a rembrandt style photo should pay the author of that style ? For 70 years ? How much and how long ? Why money at all ?…
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Yet another basic AI glossary part 1
AI & Machine Learning Glossary for Beginners Yet another basic AI glossary part 1. This is base what i need to learn better and understand all that „AI” and „LLMs”. Feel free to go through all of it and dive deeper on those subjects. Defining here ai concepts, ideas, math functions, slang and anything that might be helpful in better understanding „the whole lot”. 1. Logit A logit is the raw output we get from a model before any functions are applied. Before the softmax functions. During classification logit shows the confidence of the model about everypossible output. 2. Logit Definition (Mathematical View) In math logits are real numbers output…
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How to reduce github copilot`s premium requests usage and maximize efficiency
How to reduce github copilots premium requests usage and maximize efficiency ? Make a plan, a kaizen plan at best. Instruct precisely, cover edge cases, allow all tools to execute and pray the LLM will understand You. Want to share my simple methodology that not only can save money but also ease in and smoothen out the workflow. RTFM ! As always You could benefit from RTFM ! Reading the foqing / friendly / flopsy manual. I know You never read it cause real man don`t do it ( how about real woman ? ) ? God knows if gamers would not have to go through the tutorial, they would…
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Deeplearning.ai text-embedding model error. Change to text-embedding-005
Deeplearning.ai text-embedding model error for „textembedding-gecko@001” requires You to simply change it to another one. Instead of the original pretrained models we should use the newer ones. Those models are succeeding the gecko series in Vertex AI. Google Vertex AI Options OpenAI Options Those are just some of the available models. Usage Comparison Model Provider Dims Max Tokens Best For text-embedding-005 Google 768 2048 English/code gemini-embedding-001 Google 3072 Varies High quality text-embedding-3-small OpenAI 1536 8191 General/RAG Summary Once upon a time, and still we can find many many things thanks to start overflow and people willing to share knowledge… let us hope the next time you google something…
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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…
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What Jack Oneill teaches us about efficiency
What Jack Oneill teaches us about efficiency, underneath his sarcasm, is ruthlessly practical. Listening to Jack You can easily figure out the most important things to do simple… efficient… are : Jacks worldview reminds us that intelligence isn’t just about knowing, it is rather wisdom anyway, but more so it is about acting clearly in the face of confusion. In a world rewarding complexity, that kind of simplicity is both rebellious and profound. Colonel (later General) Jack O’Neill ( two Ls) from Stargate SG‑1 is remembered for his sarcasm and not liking scientists. Beneat dry humor lies, a surprisingly deep, wisdom rooted in simplicity, straight talk, and cutting through noise…
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Typescript perfect sync – 3 tricks to keep it tight
Typescript perfect sync can be kept using couple of strategies. Most of us start with simple union types, like this: const ScenarioStatus = 'success' | 'fail' | 'error' | 'other'; So far so good. That works great… until you need to iterate over those values for rendering, validation, or other logic. And now You are stuck with two separate definitions: one array for logic, and one string union for the type. Sooner or later, they’ll fall out of sync and provide headaches to people. You could go for en enum…. Below behold the three TypeScript tricks to make your code tight, hard to break, cleaner, safer, DRYer and resistant to…
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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…
