api response
{
"data": [
...
],
"links": {
"first": "https://example.com/pagination?page=1",
"last": "https://example.com/pagination?page=10",
api response
{
"data": [
...
],
"links": {
"first": "https://example.com/pagination?page=1",
"last": "https://example.com/pagination?page=10",
name: Deploy to Live Channel | |
on: | |
push: | |
branches: | |
- main | |
jobs: | |
deploy_live_website: | |
runs-on: ubuntu-latest |
I have been utilizing artificial intelligence to enhance and optimize my codebases. After evaluating various models, applications, and editors, I find the claude.ai interface with a Pro Account to be the most effective. Here’s the approach I’ve developed to achieve optimal results:
This gist contains a carefully crafted prompt and a script designed to convert your entire Laravel codebase (excluding the resources folder, which can be easily added if needed) into a TXT file with the following structure:
<File Start: ./path/filename.extension> Content of file <End File: ./path/filename.extension>
To implement this method:
/* General gallery container styling */ | |
.gallery { | |
display: grid; | |
gap: 10px; | |
margin: 20px 0; | |
list-style: none; | |
padding: 0; | |
} | |
/* Columns based on gallery-classes */ |
rem == ApplyImage.bat == | |
rem == These commands deploy a specified Windows | |
rem image file to the Windows partition, and configure | |
rem the system partition. | |
rem Usage: ApplyImage WimFileName | |
rem Example: ApplyImage E:\Images\ThinImage.wim == | |
rem == Set high-performance power scheme to speed deployment == |
Renderbit Technologies was engaged by a ship management company to develop a vessel energy monitoring solution that provides real-time and continuous monitoring of on-vessel equipment such as main engines, auxiliary engines, pumps, and air conditioning units. The solution was designed to track energy use and efficiency, provide real-time alerts, and enable data-driven insights into energy consumption across different vessel components. The project was implemented in phases, beginning with hardware integration and HMI dashboards, followed by cloud deployment and satellite communication for real-time vessel-to-shore data links.
The ship management company faced several key challenges in energy monitoring:
As part of its smart city initiatives, a government development authority in a major urban area sought to optimize its solid waste management operations through a Garbage Van Tracking Solution (VTS). Renderbit Technologies was tasked with developing a comprehensive solution that would allow real-time tracking of garbage collection vans, ensure efficient pickups, and provide transparency to both citizens and administrators. The solution included mobile apps for drivers and citizens, as well as a robust admin portal for centralized management. This initiative aimed to enhance efficiency in solid waste collection and contribute to the city's overall cleanliness.
The development authority faced several key challenges in managing its solid waste collection system:
Renderbit Technologies was engaged by a leading television channel to design, develop, and deploy an online polling system using WhatsApp, integrated with a dynamic, mobile-responsive web admin portal. The goal was to enhance audience engagement during the airing of various TV shows by running real-time polls. Viewers could participate in polls via a WhatsApp chatbot during the daily episodes of TV shows, answer questions related to the content, and stand a chance to win prizes. Channel administrators could access real-time insights and engagement analytics through the web admin portal, allowing them to monitor poll performance and audience interaction.
The TV channel faced several challenges in boosting audience engagement during showtime:
Renderbit Technologies developed a Blockchain-Authenticated Academic Certificates Issuance Platform for an educational group to issue secure, verifiable digital certificates to students. The platform enables the issuance, management, and verification of academic and extracurricular certificates through blockchain technology, ensuring the authenticity and integrity of the certificates. Students, employers, and institutions can verify credentials without the need for physical documents, significantly reducing the risk of counterfeit certificates. The platform was designed to be scalable, with provisions for future expansions, including mobile apps and third-party audit nodes.
The educational group faced several challenges in managing academic certificates:
<?xml version="1.0" encoding="UTF-8"?> | |
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> | |
<plist version="1.0"> | |
<dict> | |
<key>KeepAlive</key> | |
<true/> | |
<key>Label</key> | |
<string>homebrew.mxcl.ollama</string> | |
<key>LimitLoadToSessionType</key> | |
<array> |