Please Don't Code vs Kel: Which is better?

Please Don't Code is an efficient and utility-rich tool developed to streamline the process of coding for embedded systems by offering an AI-powered code generator for Arduino. Targeted at users seeking easier coding and time conservation, this tool helps in hastening the process of code generation by leveraging the power of algorithms and machine learning. It is primarily effective for Arduino programmers who wish to simplify their coding tasks. An engaging feature of this tool is its ability to generate code configurations for varied Arduino boards such as Arduino Uno, Arduino Mega, and Arduino Nano, further enhancing its utility. Please Don't Code helps in setting up digital input and output pins for buttons and LED strips, reading and displaying sensor data like temperature, humidity, distance, water volume, and flow rate. It even allows the user to organize and control devices like relays and buzzers according to the sensor values, thereby providing a holistic development environment.

View Please Don't Code

Kel

Kel is an AI-based assistant embedded in your Command Line Interface (CLI). It is designed to augment productivity by automating repetitive tasks and enhancing the overall efficiency of your CLI. Kel is equipped with multiple Languages for Learning Machines (LLMs) support including OpenAI, Anthropic, and Ollama, whilst also supporting OpenAI Assistants. It further allows users to engage in unique interactions such as 'chatting' with their artifacts by uploading their files to the assistant. Developers can personalize their assistant using their own API keys for OpenAI or Anthropic, a feature that might soon extend to other LLMs.

View Kel

Key features

Please Don't Code

AI Code Generation: Users can describe their project in natural language, and the AI generates a wiring schematic and firmware code tailored for over 29 supported microcontroller boards.
One-Click Flashing: Firmware can be uploaded to devices via USB or WiFi with a single click, eliminating the need for manual compilation or configuration.
Remote Monitoring and Control: Each device features a real-time dashboard for monitoring and controlling various parameters through customizable widgets.
OTA Updates: The platform supports Programming Over The Air (POTA) for seamless firmware updates across multiple devices without physical access.
Community Projects: Users can explore and learn from projects created by others, fostering a collaborative environment for innovation and development.

Kel

AI capabilities integrated into the CLI for automating tasks and enhancing productivity.
Supports multiple LLMs including OpenAI, Anthropic, and Ollama, with the ability to bring your own API key.
Allows users to upload files and interact with their artifacts through a chat interface.
Free and open-source, enabling community contributions on GitHub.
Configuration through a `config.toml` file for personal settings and LLM selection.

Useful for

Please Don't Code

Rapid Prototyping: Enables users to transform ideas into functional prototypes in minutes, significantly reducing development time.
No Coding Required: Users can generate firmware and wiring schematics by simply describing their project, making it accessible to those without programming skills.
Seamless Device Management: Allows for easy monitoring and control of devices through a real-time dashboard, facilitating remote management.
Over-the-Air Updates: Supports firmware updates over WiFi, eliminating the need for physical access to devices and reducing downtime.
Scalable for Various Users: Suitable for startups, companies, and hardware shops, adapting to different project sizes and complexities.

Kel

Automates repetitive tasks, enhancing productivity and efficiency in the command line interface (CLI).
Supports multiple large language models (LLMs), allowing users to choose the best fit for their needs.
Enables users to upload files and interact with their artifacts through a chat interface, facilitating easier data analysis and insights.
Allows integration of personal API keys for customized usage, providing flexibility in accessing different LLMs.
Free and open source, encouraging community contributions and collaboration on GitHub.

Use cases

Please Don't Code

Rapid Prototyping for Startups: Quickly transform ideas into working prototypes for investor pitches by generating firmware and flashing it to devices in minutes.
Remote Device Management for Companies: Automate processes and monitor industrial machines without needing a dedicated embedded team, allowing for quick updates and control from any location.
Firmware Updates for Commercial Hardware Shops: Enable solo practitioners and micro-teams to deliver commercial products efficiently by eliminating boilerplate firmware and focusing on client value.
Real-Time Monitoring and Control: Set up dashboards for each device to monitor data and control functions remotely, enhancing operational efficiency.
OTA Updates for Device Fleets: Manage and update firmware for multiple devices simultaneously over WiFi, reducing the need for physical access and minimizing downtime.

Kel

Automate repetitive tasks in the command line interface (CLI) using AI capabilities.
Interact with various large language models (LLMs) such as OpenAI, Anthropic, and Ollama for diverse functionalities.
Upload files to the assistant and engage in conversations to extract insights or analyze content.
Configure and use personal API keys for customized interactions with LLMs.
Utilize the OpenAI assistant to analyze documents and obtain insights directly from the CLI.

Price

Please Don't Code

Free Plan: 3 credits per month, 1 device free, forever, no credit card required.
Basic Plan: $9/month, includes 25 credits per month and 5 IoT devices.
Pro Plan: $29/month, includes 100 credits per month and 50 IoT devices, private projects allowed.
Premium Plan: $79/month, includes 300 credits per month and 500 IoT devices, private projects allowed.
Trial Offer: All paid plans come with 2 months free.

Kel

The application is free and open source.
Users can bring their own API keys for OpenAI and Anthropic.
Other LLM support is coming soon.
There is an option to contact for a support plan.