- AI Agent: a cheap junior employee who has root access to your system and production and will fake competency and waste your money. Have fun.
- All-in-one calendar/messenger/file sharing app: oh, look, they generously manage your most sensitive data with good intent and cheap costs: your security and privacy is not a problem it seems. Run away even if it's free.
- Anti-AI: someone using AI but bitter about it officially.
- Application logs: something you stare at while thinking about the sense of your life.
- Backups: something everyone is supposed to do but never does. Tip: you can have world-class data backups for free, feed them to some LLM prompt or share them in private LinkedIn messages or in private GitHub repo, they will likely leak later in some hack or some LLM output.
- Bugs: something that occurs to you because you didn't RTFM.
- CDN: a disaster waiting to happen.
- CI/CD pipeline: a glorified shell script that compiles your code, usually wrapped in YAML or in Groovy or a messy mix of both. Nobody cares it until it breaks. If you are a developer, blame any pipeline failure onto the CI/CD tooling pretend your code works on your machine.
- Coding: some ancien art you go back to after wasting 4 days debugging AI-generated code.
- Contabo: cheap plastic VPS.
- Cloud: a big garage with computers, related to random outages and expensive certifications.
- CloudFlare: a tool to protect robots from humans trying to use internet.
- DevOps person: someone debugging your code and your production environment.
- Docker: a packager for your bloated app and your dependency hell.
- DuckDuckGo: a private search engine hosted by big tech and using big tech search results and funded by big tech. Yeah very private.
- Ecosia: a green washing search engine.
- Git: a simple version control tool to make your life miserable.
- Google search: a search engine for ads.
- Hetzner: cheap VPS for your
piracystuffself hosted business applications. - Home hosted: piracy stuff or very sensitive stuff running on a Raspberry with zero backup. Do not mixup with Self hosted.
- JavaScript: sugar for the web.
- Kubernetes: because Docker wasn't complicated enough, this is a glorified infinite loop that restarts your bloated apps when they crash, and they will. It's also good to have on a resume.
- LLM: a tool for text generation you can use to save you from developing skills. Some people call it general AGI. Ok, AGI, go win the lottery for me.
- Newsletter: legal spam nobody reads.
- Passkeys: a tool to prevent humans from using a tool on multiple devices.
- QR Codes: links that force you to be glued to your phone and run a crappy app to avoid talking to human beings. It's the modern way to ordering anything. If you want I can generate infinite QR Codes for only 10$ per month.
- Quantum: a marketing term to make any bullshit sound more legit. Oh, there is it, a quantum LLM.
- Reboot: something you do when you are too lazy to RTFM.
- RTFM: reading the manual is something you never do unless to prove someone else wrong or when it's time to understand the programming language you are using for ten years.
- Self hosted: some barely secured docker containerized app running in some cloud like Hetzner. What is "self" about it? You decide. Maybe the fact it's installed by some human following a recipe. Impressive.
- Spotify: a scam acting like a glorified Winamp clone that randomly removes content from your favorite playlists, rob you and artists.
- Substack / Bearblog / Dev.to and other blog platforms: a recycle bin for your ideas.
- Seedboxes: A place for exchanging free Linux distributions,.NOTHING ELSE of course.
- the Onion, Le Gorafi: satire websites that compete with D. Trump for the most stupid headlines.
- URL shorteners: a good legal way to ease phishing attempts. It's also a tool used to hide mostly useless sometimes good links behind magic ephemeral links. You remember that good site? Was it blb.lb/8378hdkf? Or goo.gl/hdk792? Who knew it would be such a terrible idea. Oh, did you see this new quantum URL shortener?
- VPN: a glorified proxy.
- Web scraping: a way to fix the lack of APIs. Also a lazy yet professional way to CTRL+C / CTRL+V content from websites.
- YouTube: ads streaming service.
Tag: guides-and-tips
The art of crafting and loving your own tools
I have learned one good lesson from tasting someone's else food, it's never salty enough and I always miss the good drink pairing or something else is missing. And I'll feel bad for making any critique or special request.
I have a similar feeling about apps, tools and platforms I don't maintain. Sure i can help fixing them with requests that will likely be forgotten in their backlog. Or I can pick an alternative product which will unfortunately lack features from the former or will have their own ux issues, bugs, weirdness...
In the end I'll flavor ones that focus on simplicity and which provide good documentation and support for data import/export and customizations through their API or through plugins and scripting.
Miniflux, Shaarli, Obsidian, Dropbox, Cloudron....are those kinds of apps and platforms I use that do a thing well yet I have customized to my taste, e.g of such personalizations:
- Dropbox is automatically organized based on custom rules, all orchestrated through cron jobs.
- Bookmarks in Shaarli are tagged automatically thanks to a plugin I've made available in my shaarli_plugins Git repository.
- My apps hosted in Cloudron are restarted automatically on schedule if they stop responding, thanks to some cron jobs and Cloudron's API.
- Music I download on-the-go from my mobile phone through Seeker (Soulseek client) is synced automatically to my storage and visible in my Navidrome and Subsonic clients; so I do not need Spotify. It is also orchestrated via cron jobs, using rsync and syncthing.
- Notes I take on my Obsidian at work and at home are synced automatically thanks to Syncthing an Git on my personal Gitea server.
- Miniflux is the tool I've extended the most as I've blogged in Reading RSS in peace with a few Miniflux Hacks, e.g:
- organize the feed categories in Miniflux.
- group items by author.
- show stats about each feed.
- highlight links I've already bookmarked in Shaarli.
- add one-click buttons Add to Shaarli / Follow in Miniflux next to each link mentioned in those articles depending if it's some RSS feed or a random link I might want to bookmark in Shaarli.
- Some of those recipes are available in my repo.
- Email attachments related to our financial activity are archived in our Dropbox and renamed automatically based on their content, using OCR. The whole thing simplifies communication with our accountant and their software.
- My monthly invoices are generated automatically from InvoiceNinja and I'm looking at a solution using only Python.
- I'm also making my own RSS feeds from sources that lack one like https://indieblog.page/all and https://www.journee-mondiale.com/les-journees-mondiales.htm, I've shared the source code for indieblog and for journee-mondiale, both are orchestrated via cron jobs.
- I keep building more, I'm working on my own tools to supplement or replace InvoiceNinja, Shaarli, Wallabag, Obsidian and Miniflux. The fewer apps I rely on, the more focused I become.
Relying on my own recipes, scheduling things though cron jobs and building my own platform saves me costs, improve my computer experience and make me more efficient about problem solving.
It also likely make me a bit lazier and annoying.
You can be more efficient too, and I can help if you like!
Contact me to learn how to master of your digital life.
Default settings for watches in Changedetection
I'm addicted to Changedetection for spying on website changes and internet search results for specific keywords, Occasionally also for monitoring price changes. It's quite handy to discover new links added to web directories, or stay updated with some websites that do not provide any RSS feed.
Context
- I'm watching hundred of URLs.
- I often spy on webrings and blogrolls to discover new interesting links, and also on search engines results for specific keywords.
- I'm self-hosting Changedetection through Cloudron.
- I'm mostly following through those watches via my RSS Reader, Miniflux.
- For some specific changes, like weather bad conditions, I subscribe via ntfy.
Anyway, I've developed a few habits that fit my workflow so well for every new watch, which are:
Settings > General
This is where we set defaults for all future watches, it's pretty obvious you must start here. Here is my current setting:
- Time between check: By forcing a convenient interval between checks, you try to find a balance between information overload and staying current. Pick your poison, but don't hesitate to override this setting at per-watch level.
- Extract from document and use as watch title: it's convenient to let Changedetection take care of naming your watches based on the webpage titles rather than leaving the sometimes very long and non human-friendly URL as a default description.
- Random jitter: this is handy to avoid stressing your I/O too much.
General > Group tag
This one is mostly for better organizing stuff, as I mentioned I follow those changes through RSS, I noticed it was harder to distinct between important and less important stuff because I was following the default RSS feed, but Changedetection provides distinct RSS feeds per groups/tabs of watches, and that's my preferred workflow now.
I'm trying to always set a label, I have around 15 in total, some for specific interests (privacy, discovery aka list of links, devops, music, ...) or specific people, locations and business updates. The rest is generally less important and is labelled with things like FOMO, misc, ...
Those group tags appear as labels next to the URLs you are watching.
If you want to watch a whole group through RSS, link is at the bottom right of the page on the group tab.
Filters & Triggers > Remove elements
It's common on bloated rich web pages to want to focus on specific parts, like everything between <header> and <footer> sections, so I sometimes have to add footer and header. It's mostly needed for sites like eBay, 2ememain, where we can buy and sell things.
Filters & Triggers > default filter and triggers
This is purely for spam reduction as I mostly want to know when something new is made.
Sometimes I also enable Sort text alphabetically depending how the page is updated by its author.
π Those new settings have been added recently and I'm also enabling them on new watches:
Extension
Try the web browser extension for Chromium based browsers, it makes watches one-click away.
Next
I've opened a discussion in Changedetection's repository to talk about how repetitive it feels to me, in the hope we can see something like template settings be proposed in the future, at least for the filters & triggers which I consider is not too hard to start with.
Prompt hacks aka make the best coding out of GPT
THIS WILL BE CONSTANT WORK IN PROGRESS
I've been using a paid subscription to ChatGPT Plus since May 2023 and I'm still happy with the usage. It's one of those tools you have to master to get most of the time spent with it. There are a lot of benefits to use it, of course there are also negative aspects and bugs. Some of them can be mitigated, and that's the purpose of the current post.
Disclaimer / Context of use π§Ύ
- I'm ChatGPT mostly for scripts and each conversation is focused on singular topics, i.e single-file codebases if possible.
- I don't use Open API Keys and I'm not interested to use OpenAI directly. I've been on a paid plan for OpenAI and was charged way too much for my needs. I advise anyone to use ChatGPT Plus which remain to this day worth it and good enough both for personal and professional.
- This article was not written nor reviewed by AI/ChatGPT.
Lessons learned - Do β
- Shorten your expectations. Timebox your interactions with ChatGPT. If it takes longer than you expect to reach a solution, stop and do your homework instead, debugging yourself or simplify the problem to solve or take a break...
- Test after each change. ChatGPT will make you lose faith by repeating the same mistakes, by removing sensitive code, by providing incomplete solutions, always verify.
- Before running or committing anything generated by ChatGPT, always compare with the previous situation you had. Git diff the result of changes. If you have any doubt about a specific change, submit the git diff to ChatGPT for review and ask for explanations while also explaining why you have doubt (failing tests, errors at runtime, weird code removal, ...).
- Tell ChatGPT to always decouple code in functions.
- Instruct to use minimalist code, and avoid comments in code, respect your specific style (if you provide examples), instruct to write the code that takes the least amount of lines and space and to avoid long functions.
- Divide to conquer: Keep one conversation per problem. Once done with the problem, validate the solution (test!), commit locally, and delete or archive the conversation to keep your Chat history clean from everything you don't need.
- Take steps: Try to limit ChatGPT's attention to one single file or one single function at a time.
- If you have lot of work you expect ChatGPT to perform for you, be patient and request one change at a time, then review the code diff and then the outcome, and only if it's validated, commit and move to the next step. ChatGPT sucks at multitasking. Keep the rest of your TODO list somewhere else to keep track of what remains to be requested from ChatGPT.
- You will have a cleaner Chat if you take this habit:
- Ask something from ChatGPT.
- ChatGPT will answer you something, whatever it is, you will likely want to correct ChatGPT. Refrain yourself and do this instead: cancel what ChatGPT is doing, edit your last input to be more precise and re-submit it, ChatGPT will replace its unhelpful response with something more clever. And you will improve the overall quality of the discussion.
- You will be given better results on popular topics than on niche topics / technologies.
- Ask to only output the code that require change, e.g add this at the end of your prompt :
just output the function(s) needing change - Ask to not change the existing comments, login logic, variables values in the code that is not impacted by the change.
- If you really want to multitask, open multiple ChatGPT sessions (browser tabs) in parallel, each focused on distinct changes, so you can multitask while ChatGPT stays focused on single tasks π
- One change at a time. If ChatGPT keeps making error, step back, restart from to the latest stable version of your code, and ask to make minimal changes, step by step, while you validate each increment.
- When happy with your changes, ask ChatGPT to improve its performance or clean the code or keep it minimal.
- When debugging your code with ChatGPT, provide stack traces, inputs, outputs and even the copy of the code that seems buggy (based on the stack trace).
- Be suspicious if ChatGPT changes your code way too much or introduce weird changes to dependencies. Always review, check, investigate.
- ChatGPT will likely be interesting to use only for writing very small and boring scripts to batch automate some tasks. But you are responsible for the whole, do not forget that. And test. And understand the code. Make it easy to understand and debug. If you can't explain it, rewrite.
- ChatGPT could be good at documenting tasks or at writing tests, but for working on complex code it will mostly get 70% of the results then will suck your time and patience.
Lessons learned - Avoid β
- Don't trust ChatGPT outputs. OpenAI is known for dreaming and also tends to complexify solutions to simple problems.
- Don't run nor commit anything generated by ChatGPT that you don't understand and always compare ChatGPT's solution with what you had before.
- Don't ask too many improvements or bug fixes at once or be prepared to deal with many new errors and regressions.
- Don't keep conversations for too long, as all the initial context will likely be forgotten about by ChatGPT and you will suffer, also it will cause a lot of scrolling and augment the size of the web page which will be slower to load and will likely crash your browser tab at some point.
- Don't switch context / files / problems in the same conversation. It's a waste of time and you will suffer later when trying to source specific content or make sense of anything.
- Don't share secrets/passwords with ChatGPT.
- Don't waste your time when the LLM seems confused or unable to solve your problem. Either reshape your problem statement or restart from the latest known stable state, ideally in a new conversation. Be confident in your own abilities. Don't be too dependent on any LLM. I once wasted a whole evening and night trying to get ChatGPT to write the solution for me then trying to use it to fix the problems it caused, I was too lazy to code something by myself from the start.
- Don't expect ChatGPT to be as efficient on big codebases and complex problems as it is on small scripts and simple problems. So use it more often for the latter and keep the fun of solving the big problems yourself.
- Don't expect ChatGPT to understand a single thing you do nor why he generates his code. it's a dumb machine without creativity built in. It has to be treated as such and with caution.
- When trying to help you fixing problems caused by its previous solutions, ChatGPT may enter and endless loop of replacing one solution with another, without understanding the context. Before copy pasting anything from ChatGPT, make your own investigation and check the logs of the apps that do not behave as expected, before touching the code. If you find interesting logs, then provide those to ChatGPT or make your own investigation. Do not depend on ChatGPT for too much grunt and research work. You are better than that.
- Don't expect ChatGPT to run well and fast on huge bloated scripts. That should encourage you to decouple your code into functions and modules and specialized files/modules/components/...
Relevant references
- The 70% problem: Hard truths about AI-assisted coding (substack.com)
- ChatGPT could be used to address the fact that solving some problems is costly in term of engineering. This XKCD meme below should be likely made obsolete if LLMs are used to provide the programs to automate the tasks. For instance when faced with some painful work, I rather use LLM to write me a script to tackle the task. It will be faster than me on some occasions, which itself help removing the need for manual work for tedious tasks, also help removing the need to prompt LLM in the future for that same task, since the script is already provided.
Extras
- If you lose focus on the ChatGPT session in your browser, it's likely the calculation process will interrupt.
- ChatGPT seems stuck at generating the output ? Refreshing the page might be enough, in other cases ChatGPT might automatically continue the generation or will show a button you can hit to force this action.
- I recommend trying ollama so you can work offline and without feeding all your sensitive data into OpenAI.
Thank you π