This thread is for anyone working on personal projects to share their progress, and hold themselves somewhat accountable to a group of peers.
Post your project, your progress from last week, and what you hope to accomplish this week.
If you want to be pinged with a reminder asking about your project, let me know, and I'll harass you each week until you cancel the service
Jump in the discussion.
No email address required.
Notes -
Long time lurker, first time poster on the thread. I'm currently halfway through learn python visually. I know the python parts, I'm doing the book to get a different sense of programming. My mentor wanted me to see things from a different side. So far I'd state the book is a great tool for anyone young who wants to learn programming because making things go off on screens is a fun experience.
The hardest parts are the non programming ones, it's a mild detour, knowing the math behind things is a plus for me. I'll start data structures in python after this.
Also gophercon is happening in my hometown this year in September, so if any mottizens write go or may be panning to visit, do lemme know. I'll be there for all three days.
I use ratatype for typing and my current keyboard is a terrible sub 6 dollar piece of trash where using the pinky finger to press enter or backspace would mine in sub 5 minutes. I keep missing a lot of keys on that side since I have to reset my hands anytime I use backspace or enter. Any suggestions beyond getting a split keyboard. I'll get a new slightly better mechanical keyboard soon which should ease this a bit.
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Starting a greenfield project to build a stable software environment for ai coding. I can't think freely when operating within legacy codebases. So starting from scratch to build my ideal ai-native scaffolding.
I'm starting with a tool to auto-redact pdfs. Simple, useful, well constrained. Would appreciate suggestions on software paradigms that have worked well for ai development.
Stack:
Some ideas:
I have a basic demo ready. Codex is already raising PRs. The redacted bounding boxes are off. And the LLM redaction logic is wonky. But, so far I am impressed at the LLM's ability to build a greenfield project by itself.
I'm a serviceable software engineer. Cracked engineers of the motte, what are some software systems paradigms that you think I should play with ? I would especially like to know paradigms that make it easier for agents to understand, write & verify auto-generated code.
Sounds pretty good. I'm a noob engineer so can't offer any feedback whatsoever. My only experience with llms and pdfs was when we tried to build something that dealt with large pdfs and the biggest hurdle was the tables. I've heard pcr got better in the latter half of 2024 and I stopped my startup LARP right about that time.
Haha, yep, tables and rich extraction is pretty bad out of the box.
In this case though, I can confidently say I'm an expert on PDF extraction for llm use.
ANy tips and tricks you picked up regarding this not available out there on the web? I basically just throw the most powerful vision model at it and YOLO it.
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