#cloud #database #sql

On Local when any Change...
git add -> git commit -> git push origin main

On Server...
git pull origin main

The overall process

People often call this:

Git-based deployment

Deploy via git pull

Or simply: push to GitHub, pull on server

---
on local

# 1. Stage everything you changed
git add .

# 2. Commit with a message
git commit -m "Use MariaDB for TODO storage"

# 3. Push to GitHub
git push origin main

on server

login as owner of the site then
su - cloud # or ssh in as cloud
go version # should also show go1.22.0

cd ~/public_html
git pull
go build -o todo-app

login to root
su

sudo systemctl restart todo-app
sudo systemctl status todo-app

#git #command #common #github

You can totally do that 👍
Think of it like this:

1. Your backup folder = the code you want
2. Your Git repo = the thing connected to GitHub
3. You copy backup → repo, commit, then (maybe) force-push to make GitHub match.

I’ll assume:

* Your WSL project repo is: ~/projects/go/todo-api
* Your backup is somewhere like: ~/backup/todo-api-backup

---

## A. Make your local repo match the backup

1. Go to your repo:

   cd ~/projects/go/todo-api
   

2. (Optional, but safer) Clean out current files except .git:

   rm -rf *
   rm -rf .[^.]* 2>/dev/null   # removes dotfiles but keeps .git if it exists
   

> If rm -rf .[^.]* scares you, skip it and just overwrite files when copying.

3. Copy the backup contents into this repo:

   cp -r ~/backup/todo-api-backup/* .
   cp -r ~/backup/todo-api-backup/.* . 2>/dev/null || true
   

> If your backup also has a .git folder, this will overwrite your current .git.
> That’s fine as long as its origin is still set to https://github.com/kenzastore/todo-api.git.
> We’ll check that next.

4. Check git status and remote:

   git status
   git remote -v
   

You should see:

* lots of changes (or “untracked files”)
* origin https://github.com/kenzastore/todo-api.git

If there is no .git (i.e. git status says “not a git repository”), then:

   git init
   git branch -M main
   git remote add origin https://github.com/kenzastore/todo-api.git
   

---

## B. Commit the backup as the new version

git add .
git commit -m "Restore original Go app from backup"

Now your local main branch = backup code.

---

## C. Decide: overwrite GitHub or merge?

### 1️⃣ If you want GitHub to match the backup (overwrite)

This will throw away newer commits on GitHub and replace them with your backup.

git push -f origin main

* -f = force (required because history is different)
* After this, GitHub’s main will look exactly like your local code.

### 2️⃣ If you want to keep GitHub history and merge backup in

Then instead of forcing, you’d first pull and rebase:

git pull --rebase origin main
# resolve any conflicts
git push origin main

But from how you described it (“backup of the original go folder”), you probably want option 1: force-push so everything goes back to that state.

---

## D. Update the server from GitHub

Once GitHub has the backup version:

On the server as user cloud:

cd ~/public_html
git fetch origin
git reset --hard origin/main   # make server code exactly match GitHub
go build -o todo-app

Then as root:

systemctl restart todo-app
systemctl status todo-app

Now:

* WSL code = backup
* GitHub = backup
* Server = backup build, running on your domain

---
#git #command #common #github #backup #upload #change #file #wsl #server

https://youtu.be/x14zcZHjz5M?si=xVmkmM-rL1U5j-e5

#gemini #google #cli #insane #terminal #command #perintah #ai

https://youtu.be/bJGOxx0azas?si=v4f8M5LEIZrLtx8a

#self #host #server #project #apps #github #free #open #source

https://app.livestorm.co/p/feefa9c0-a7ae-4f88-bc85-6e6af654c6a7

#free #ai #kilocode #agent #agen

https://youtu.be/ipY_e9sldFM?si=SyC9QJSMZk8Kbi4V

#open #code #cli #source #agent #agen #gemini #cli #terminal #free #ai

https://youtu.be/6sk-q79-zZE?si=WIgLAgFS7mF-nZ1e

#open #agen #agent #builder #free #open #source #n8n #alternatif #ai #automate #workflow

https://youtu.be/kV7skm1NXno?si=eFg3I8Olch0tsWY0

#google #firebase #studio #gemini #apps

https://github.com/dhanji/g3

#g3 #dhanji #new #ai
paper of dialectical autocoding


In this video, I'll be telling you about g3, a revolutionary new AI coding tool based on adversarial cooperation that solves the context loss problem by making two AI agents fight each other to write better code. This is based on a groundbreaking research paper and represents a completely new paradigm for autonomous software development.

--
Key Takeaways:

🤖 Current AI coding tools like Cursor and Windsurf struggle with complex projects due to context loss and hallucinations.
⚔️ g3 uses two adversarial agents - the Player (builder) and the Coach (critic) - that argue to produce better code.
🧠 Fresh context windows every turn prevent the AI from getting confused by past mistakes and bad attempts.
✅ In testing, g3 achieved 100% requirement compliance and zero crashes while other tools failed or needed manual intervention.
⏱️ Takes about 3 hours to run autonomously but delivers 1,800+ lines of fully functional, tested code without human input.
💰 Higher token costs due to multiple iterations, potentially $5-$10 per complex task using Claude 3.5 Sonnet.
📝 Requires a detailed Requirements Document rather than casual chat-based prompting for best results.
🦀 Open-source tool written in Rust, developed by researchers at Goose and backed by Linux Foundation's AI Fund.

https://x.com/i/status/1999003717115253120

#master #sistem #desain #perusahaan #besar #system #design

https://youtu.be/U2iFkardx9g?si=hUA3O50tVQBwhNg8

Google Antigravity: Gemini 3.0 + Opus 4.5 = The Ultimate AI Coding Workflow - FULLY FREE!


#ai #google #gemini #antigravity #free #open #source

https://youtu.be/eSUe62dnfYw?si=12qqZTLa979hYUM_

Shadcn Create + Opus 4.5 / Gemini 3 Pro: This is THE BEST WAY to make BEAUTIFUL APPS with AI!


#shadcn #opus #gemini #google #gemini #ai #beautiful #apps #desain #design

https://youtu.be/-0VsUmqsyiI?si=PLd2N4TVnX4GjQLQ

Open NotebookLM
#open #notebook #lm #free #open #source #gemini

https://youtu.be/rLu_3hpG0b8?si=DYaVItpLhft3lwJW

#gemini #konduktor #toolkit #context #engineering #ai #agen #agent #geminicli

https://youtu.be/FTtmZQBX-fk?si=ZUb_H1qncf33VYbZ

#ai #generated #apps #agent #agen #google #A2UI #gemini #agents #apps #ui #interface #open #source

https://youtu.be/ul7zuyATDqE?si=r5-cu19FpqOLYSR-

#open #code #free #source #opencode #insane

https://youtu.be/D-HJOgFSNnE?si=TFhgHrMuTnRXoKWJ

#lora #hape #hp #phone #provider #handphone #alternatif

https://youtu.be/PQrkEa5aK3I?si=-4WwSP5lpyIoA76B

#gemini #ai #sketsa #infografis

https://youtu.be/jVvZRguqbtU?si=U5yz79arBY5Oqj4e

The Gemini 3.0 System You Wish You Had Seen Earlier (2026)


#gemini #system #master #ai #chatgpt #sistem

Yes — Gemini itself (via Gemini CLI + Conductor) can analyze an existing brownfield repo and then generate those `/conductor:setup` artifacts. That’s literally what /conductor:setup scaffolds:

* conductor/product.md
* conductor/product-guidelines.md
* conductor/tech-stack.md
* conductor/workflow.md
* conductor/code_styleguides/
* conductor/tracks.md ([GitHub][1])

### But: “fully auto, zero questions” isn’t the intended model (today)

For brownfield projects, Google describes Conductor as starting an interactive session to create the foundational docs, using your existing code to inform decisions as you go. You still review/confirm the generated context. ([Google Developers Blog][2])

So the practical answer is: it can auto-generate the files, but it’s not a totally hands-off “scan everything and finalize perfectly” flow—especially for product goals/guidelines which usually aren’t derivable from code alone.

---

## The closest thing to “auto-generated from analytics” (recommended)

Do this 2-step chain:

### 1) Generate a repo-aware GEMINI.md automatically

Inside Gemini CLI (from repo root):

/init

/init analyzes the current directory and generates a tailored `GEMINI.md` (project context) automatically. ([Gemini CLI][3])

Why this matters: Gemini CLI loads GEMINI.md context files automatically (hierarchically), so Conductor’s setup will be much better with it. ([Gemini CLI][4])

### 2) Run Conductor setup

/conductor:setup

This scaffolds the Conductor folder + files listed above. ([GitHub][1])

---

## How it “analyzes the whole repo” in practice

Gemini CLI can read directories/files (including whole folders) using @path/… behavior and it applies git-aware filtering (respects .gitignore, and can be tuned via settings). ([Gemini CLI][3])

Conductor also warns that larger projects can increase token usage because it reads/analyzes more context. ([GitHub][1])

---

## Where ChatGPT fits

ChatGPT (here) can’t directly scan your local repository. But it *can* help you:

* refine the generated files after you run /init + /conductor:setup
* draft “product” and “guidelines” if you paste your README / folder tree / key modules

---

## Mini tip for brownfield accuracy

After /init, open GEMINI.md and add 10–20 lines of “truth that code can’t tell”, like:

* what the product is for
* “do not refactor legacy module X”
* your deployment constraints
* coding rules your team follows

Then run /conductor:setup.

If you want, paste your repo’s top-level `tree -L 2` + the generated GEMINI.md, and I’ll rewrite them into high-quality product.md / product-guidelines.md / tech-stack.md / workflow.md content you can drop into Conductor.

[1]: https://github.com/gemini-cli-extensions/conductor "GitHub - gemini-cli-extensions/conductor: Conductor is a Gemini CLI extension that allows you to specify, plan, and implement software features."
[2]: https://developers.googleblog.com/conductor-introducing-context-driven-development-for-gemini-cli/ "

Conductor: Introducing context-driven development for Gemini CLI


\- Google Developers Blog

"
[3]: https://geminicli.com/docs/cli/commands/ "CLI commands | Gemini CLI"
[4]: https://geminicli.com/docs/cli/gemini-md/ "Provide context with GEMINI.md files | Gemini CLI"

#gemini #conductor #cli #terminal #change #tiny #micro #small #tips #trik #item #ai #chatgpt #brownfield #greenfield #projek #lama #baru #analyze #generate #artifact #artifak #scan #analis #analisa