Power of IT-Bisa
https://youtu.be/mWtBMb2hk40?si=QQF6TP2KSanUbwKL #golang #online #shop #ddd #konsep
https://youtu.be/02WdXN2pHMg?si=BOrpxG3xpWmBzDKl
#golang #online #shop #ddd #konsep #Module #Authentication
#golang #online #shop #ddd #konsep #Module #Authentication
YouTube
02 - Module Authentication - Membuat Online Shop Sederhana menggunakan Golang dengan konsep DDD
Selamat datang di channel NooBeeID!
Di video ini, kita memulai perjalanan membangun Online Shop sederhana menggunakan bahasa pemrograman Golang dengan pendekatan Domain Driven Design (DDD).
Video ini adalah video kedua, yang fokus ke pembuatan module…
Di video ini, kita memulai perjalanan membangun Online Shop sederhana menggunakan bahasa pemrograman Golang dengan pendekatan Domain Driven Design (DDD).
Video ini adalah video kedua, yang fokus ke pembuatan module…
https://youtu.be/6uB65PdasQI?si=Z5lfSTcMGNfm61BQ
#open #source #media #converter #tool #image #audio #video
#open #source #media #converter #tool #image #audio #video
YouTube
you need to learn FFmpeg RIGHT NOW!!
Go to https://sponsr.is/kinsta_devopstoolbox to get your first month of Managed WordPress Hosting for free and migrate your website over at no cost!
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FFmpeg is one of these open source projects that's not only been around forever but it pretty much backs…
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FFmpeg is one of these open source projects that's not only been around forever but it pretty much backs…
https://youtu.be/FlbhRjhcLvM?si=dAzaffjENHzPYYP_
https://aistudio.google.com/u/6/apps
#gemini #ai #coding #code #agent #agen #free
https://aistudio.google.com/u/6/apps
#gemini #ai #coding #code #agent #agen #free
YouTube
NEW Gemini-Coder: Powerful Coding Agent Can Build ANYTHING & IS FULLY FREE!
Spin up your own H100 GPU in minutes with Hyperbolic: https://www.hyperbolic.ai
Google has been quietly dropping some of the most powerful experimental AI projects—and one of the most underrated ones is hidden right inside Google AI Studio. Meet the App…
Google has been quietly dropping some of the most powerful experimental AI projects—and one of the most underrated ones is hidden right inside Google AI Studio. Meet the App…
https://youtu.be/C-byRcoMwZw?si=o-BQbODzEnYwSXE2
#open #source #paham #ideologi #digital #opensource #linux #gnu #linustorvalds #sejarahteknologi #komputer #coding #freesoftwares
#open #source #paham #ideologi #digital #opensource #linux #gnu #linustorvalds #sejarahteknologi #komputer #coding #freesoftwares
YouTube
24 Menit memahami OPEN SOURCE : Jejak ideologi KUNO dalam wajah DIGITAL
24 Menit memahami OPEN SOURCE : Jejak ideologi KUNO dalam wajah DIGITAL
#opensource #linux #gnu #linustorvalds #sejarahteknologi #komputer #coding #freesoftwares
DISCLAIMER :
Beberapa materi yang digunakan dalam video ini tidak sepenuhnya milik kami. Materi…
#opensource #linux #gnu #linustorvalds #sejarahteknologi #komputer #coding #freesoftwares
DISCLAIMER :
Beberapa materi yang digunakan dalam video ini tidak sepenuhnya milik kami. Materi…
https://developers.openai.com/codex/cli
https://agents.md/
https://jules.google/ => coding agents
https://modelcontextprotocol.io/docs/getting-started/intro => Model Context Protocol
https://youtu.be/hM06KRKteu8?si=e_YGNq_FQCUnuEbI => agents.md users
https://kilocode.ai/ => coding agent
https://kilocode.ai/pricing » tariff
https://youtu.be/pO7zRLQS-p0 » tutorial kilocode.ai
#codex #openai #chatgpt #agent #md #agents #coding #asisten #mcp #readme
A simple, open format for guiding coding agents,
used by over 20k open-source projects.
Think of AGENTS.md as a README for agents: a dedicated, predictable place to provide the context and instructions to help AI coding agents work on your project.
https://agents.md/
https://jules.google/ => coding agents
https://modelcontextprotocol.io/docs/getting-started/intro => Model Context Protocol
https://youtu.be/hM06KRKteu8?si=e_YGNq_FQCUnuEbI => agents.md users
https://kilocode.ai/ => coding agent
https://kilocode.ai/pricing » tariff
https://youtu.be/pO7zRLQS-p0 » tutorial kilocode.ai
#codex #openai #chatgpt #agent #md #agents #coding #asisten #mcp #readme
A simple, open format for guiding coding agents,
used by over 20k open-source projects.
Think of AGENTS.md as a README for agents: a dedicated, predictable place to provide the context and instructions to help AI coding agents work on your project.
ChatGPT Learn
Codex CLI | ChatGPT Learn
Use Codex from your terminal and scripts.
https://youtu.be/aSXZ4IImPlE?si=cjTzEurN98TOMsXM
Gemini 2.5 Computer Use: Google's FULLY FREE Browser Use AI Agent! Automate ANYTHING! (Ranked #1)
#gemini #ai #google #web #apps #browser #agent #debug
Gemini 2.5 Computer Use: Google's FULLY FREE Browser Use AI Agent! Automate ANYTHING! (Ranked #1)
#gemini #ai #google #web #apps #browser #agent #debug
YouTube
Gemini 2.5 Computer Use: Google's FULLY FREE Browser Use AI Agent! Automate ANYTHING! (Ranked #1)
🚀 Google just dropped something huge — introducing Gemini 2.5 Computer Use, a fully FREE AI agent that can use the web like a human! Built on Gemini 2.5 Pro, this model lets you automate tasks, control web apps, and interact with interfaces directly — no…
https://www.trae.ai/?utm_source=ads&utm_medium=gg_sem_dl_pur&utm_campaign=182415283163_22814727098_brand_simple_broadmatch_p21/p22_id/br/vn/mx_en_&gad_source=1&gad_campaignid=22814727098
#trae #ai #murmer #murah #meriah #ide
#trae #ai #murmer #murah #meriah #ide
www.trae.ai
TRAE - Collaborate with Intelligence
TRAE IDE integrates seamlessly into your workflow, collaborating with you to maximize performance and efficiency.
Here’s a breakdown of TRAE / Trae AI (sometimes called “Trae IDE” or “Trae Agent”) — its strengths, weaknesses, and how it compares with other AI-assisted coding tools. If you want a side-by-side comparison with a specific tool (e.g. GitHub Copilot, Cursor, etc.), I can do that too.
---
## What is TRAE / Trae AI / Trae Agent?
* TRAE (or Trae AI / Trae IDE) is an AI-powered development environment / coding assistant built (or backed) by ByteDance. ([trae.ai][1])
* It offers features such as:
* Builder / Agent mode: where you describe tasks or goals and the system plans and executes code changes. ([DataCamp][2])
* Chat / code assistance: inline suggestions, code completions, debugging help, etc. ([DataCamp][2])
* Model support: it gives access to strong LLMs like Claude 3.5 Sonnet, GPT-4o, etc. ([DataCamp][2])
* Multimodal / additional tools: image-to-code (uploading designs and converting to code), preview windows, built-in terminal, context indexing, etc. ([YouTube][3])
* Open agent / open source component: Trae Agent (the autonomous agent side) is open source. ([arXiv][4])
* The academic paper “Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling” describes a modular agent architecture and shows strong benchmark performance. ([arXiv][4])
Because it’s relatively new, some features are still evolving, and access to certain “premium” capabilities or modes might be limited or gated. ([DataCamp][2])
---
## Pros (Strengths) of TRAE
Here are the key advantages that users and reviewers often point out:
| Strength | Explanation / Evidence |
| ------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------- |
| Free or very generous access (for now) | TRAE is currently offered at no cost (all features available) in many reports. ([Builder.io][5]) |
| Access to powerful models | Even in its free tier, it gives access to Claude 3.5, GPT-4o, etc. ([futuretools.io][6]) |
| Builder / “think-before-doing” approach | The Builder mode first plans and breaks down tasks before making code changes, which can reduce errors or misinterpretations. ([Builder.io][5]) |
| Rich context & indexing | It supports indexing existing code, project context, URL/document context to guide suggestions in a more informed way. ([DataCamp][2]) |
| Multimodal features | The ability to upload images (e.g. mockups) and convert them to UI code is a distinctive feature. ([YouTube][3]) |
| Benchmark & research backing | According to the “Trae Agent” paper, it outperformed certain baselines for software issue resolution on a repository-level benchmark. ([arXiv][4]) |
| Open agent / transparency | The agent component (Trae Agent) is open source, which helps with transparency, trust, and potential customization. ([arXiv][4]) |
Some user feedback also notes that the UI/UX and speed of prototyping are attractive compared to alternatives. ([Medium][7])
---
## Cons (Weaknesses / Risks / Limitations)
However, TRAE is not perfect. Here are some drawbacks and cautions:
---
## What is TRAE / Trae AI / Trae Agent?
* TRAE (or Trae AI / Trae IDE) is an AI-powered development environment / coding assistant built (or backed) by ByteDance. ([trae.ai][1])
* It offers features such as:
* Builder / Agent mode: where you describe tasks or goals and the system plans and executes code changes. ([DataCamp][2])
* Chat / code assistance: inline suggestions, code completions, debugging help, etc. ([DataCamp][2])
* Model support: it gives access to strong LLMs like Claude 3.5 Sonnet, GPT-4o, etc. ([DataCamp][2])
* Multimodal / additional tools: image-to-code (uploading designs and converting to code), preview windows, built-in terminal, context indexing, etc. ([YouTube][3])
* Open agent / open source component: Trae Agent (the autonomous agent side) is open source. ([arXiv][4])
* The academic paper “Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling” describes a modular agent architecture and shows strong benchmark performance. ([arXiv][4])
Because it’s relatively new, some features are still evolving, and access to certain “premium” capabilities or modes might be limited or gated. ([DataCamp][2])
---
## Pros (Strengths) of TRAE
Here are the key advantages that users and reviewers often point out:
| Strength | Explanation / Evidence |
| ------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------- |
| Free or very generous access (for now) | TRAE is currently offered at no cost (all features available) in many reports. ([Builder.io][5]) |
| Access to powerful models | Even in its free tier, it gives access to Claude 3.5, GPT-4o, etc. ([futuretools.io][6]) |
| Builder / “think-before-doing” approach | The Builder mode first plans and breaks down tasks before making code changes, which can reduce errors or misinterpretations. ([Builder.io][5]) |
| Rich context & indexing | It supports indexing existing code, project context, URL/document context to guide suggestions in a more informed way. ([DataCamp][2]) |
| Multimodal features | The ability to upload images (e.g. mockups) and convert them to UI code is a distinctive feature. ([YouTube][3]) |
| Benchmark & research backing | According to the “Trae Agent” paper, it outperformed certain baselines for software issue resolution on a repository-level benchmark. ([arXiv][4]) |
| Open agent / transparency | The agent component (Trae Agent) is open source, which helps with transparency, trust, and potential customization. ([arXiv][4]) |
Some user feedback also notes that the UI/UX and speed of prototyping are attractive compared to alternatives. ([Medium][7])
---
## Cons (Weaknesses / Risks / Limitations)
However, TRAE is not perfect. Here are some drawbacks and cautions: