(no title)
dipeshsukhani | 2 months ago
In the last year I’ve shipped a couple of small OSS tools that I almost certainly would not have finished without AI‑assisted “vibe coding”. Everything I build now flows through AI, but in a slightly different way than just chatting with an LLM. I rarely use standalone ChatGPT/Gemini/Claude; almost all of it happens inside GitHub with Copilot and agents wired into my repos.
The big shift was treating GitHub as the interface for almost all of my work, not just code. I have repos for things like hiring, application review, financial reviews, and other operational workflows. There are “master” repos with folders and sub‑folders, and each folder has specific context plus instructions that the AI agent should follow when operating in that scope, essentially global rules and sub‑rules for each area of work.
Because of that structure, AI speeds up more than just the typing of code. Idea → spec → implementation → iteration all compress into much tighter loops. Tasks that would have taken me weeks end‑to‑end are now usually a couple of days, sometimes hours. Subjectively that’s where the 10–20x feeling comes from, even though it’s hard to measure precisely.
On the team side we’ve largely replaced traditional stand‑ups with AI‑mediated updates. KPIs and goals live in these repos, and progress/achievements are logged and summarized via AI, which makes updates more quantitative and easier to search back through. It’s starting to feel less like “AI helps me with code” and more like “AI is the main operating system for how our team works.”
Happy to share more about the repo/folder structure or what has/hasn’t worked if anyone’s curious.
mattmanser|2 months ago
Have you? Are you making tons of money? Have you achieved 20x the amount than you have all previous years?
Take a step back and realize what you're claiming here.
damezumari|2 months ago
I have worked for too long in the field, but this year and simply thanks to the LLMs I have actually managed to get 4 usable hobby projects done ( as far as I need them to go anyway - personal tools that I use and publish but do not actively maintain unless I need some new feature ), and I have been quite productive with stack I do not normally use at our startup. Most previous years I have finished 0-1 hobby projects.
The ramp up period for new stack was much less, and while I still write some code myself, most of it at least starts as LLM output which I review and adjust to what I really want. It is bit less intellectually satisfying but a lot more efficient way to work for me. And ultimately for work at least I care more about good enough results.
grumbel|2 months ago
And yes, that doesn't scale to all problem domains or problem sizes, but in some areas even a 20x speedup would be a huge understatement.
dipeshsukhani|2 months ago
Am I getting more money>> I think I am currently putting the correct amount of seeds which hopefully will flourish in 2026 with results. But now, it is easier and faster.
But yes, I am sorry for claiming a more "felt like" number.
mirekrusin|2 months ago
sunrunner|2 months ago
Can you expand on this? What was a traditional stand-up before and what does an AI-mediated one look like?
dipeshsukhani|2 months ago
Concretely, we: - Break each person’s day into deterministic, measurable tasks with expected time cost and explicit test/code criteria in the repo. - At EOD, run the updated repo through an AI agent that checks for those tests/changes, scores how much of each task was actually completed, and produces a per‑person and team summary that replaces the verbal stand‑up.
Happy to elaborate on this more if you would like.
Fannon|2 months ago
dipeshsukhani|2 months ago
Think of it as a structured project brain that AI can read, update and score.
For example, for social media management our repo's outline structure that are getting to be is as follows (still WIP):
social-media/ README.md # How this repo works, scoring rules /config platforms.yaml # Accounts content_guidelines.md # Brand voice, do/don’t list /planning 2025-12-calendar.md # Calendar 2025-12-campaign-x402.md # Campaign brief, goals, KPIs /drafts 2025-12-05-x-new-feature.md 2025-12-16-x-new-feature.md /assets images/ video/ copy-snippets.md /published 2025-12-05-x-new-feature.md # Final copy + URLs + timestamp 2025-12-16-x-new-feature.md /reports 2025-01-05-metrics.md # CTR, saves, comments, etc.
Daily tasks are then deterministic checklists inside the repo, e.g. “Create 3 drafts for next Tuesday with images in /assets/images and entries added to 2025-12-calendar.md under campaign X”.