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It only helps with medium article tier problems, anything that requires critical thinking and actual knowledge is a waste of time.
For me it feels like roughly a 10–20x change, but mostly because I restructured how I work rather than just adding an “AI helper” on top. 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/Gemi…
> On the team side we’ve largely replaced traditional stand‑ups with AI‑mediated updates Can you expand on this? What was a traditional stand-up before and what does an AI-mediated one look like?
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.
For me it feels like roughly a 10–20x change, but mostly because I restructured how I work rather than just adding an “AI helper” on top. 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/Gemi…
I'd be interested in how you setup those repos for non-coding tasks, thanks for sharing!
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”.
For me it feels like roughly a 10–20x change, but mostly because I restructured how I work rather than just adding an “AI helper” on top. 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/Gemi…
If you were 20x faster you'd have done an entire career's worth of progress this year. 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.
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.
-100%. With this looming Shiny Toy plus other sub-optimizations at my last place of work, I decided to retire. Didn't want to deal with it.
Sounds like it's +100% , assuming you are now doing things that provide beyond food and shelter security... I would say +110% to remind you of the effort your childhood coaches almost assuredly requested of you, but didn't want to trigger the quibblers who would point out that's impossible (not that there's anything wrong with that)
From -10x to 5x. It depends a lot. I work as a web platform engineer so the datasets on some parts of what I do are limited. For a react project, there are millions of projects, code and setups in the training data. To create and manage a monorepo that runs on our specific infrastructure, the story is different. Writing bash scripts to run on GitHub actions: 10x. Ask to setup a monorepo: -3x. Modify a specific busine…
I manage monorepos using Projen and CC is quite good with that with just a small skill.