Devassistant is an AI-powered tool designed to assist developers in various programming tasks. It features a co-programmer powered by GPT-4 technology, a command line, and a code editor for user interaction. Devassistant allows for the creation of custom workflows, automation of tasks, analysis of codebases, question-answering about code, code modification, and side-by-side code viewing on a cloud-based VScode editor. Additionally, it supports DevOps automation, developer environment provisioning, and offers different pricing plans with features like GPT-4 credits, VCPUs, memory, and storage allocations. Users can interact with the AI co-programmer directly through the tool's command line and code editor, enabling streamlined code development and task automation.
Devassistant was created by Devassistant.ai. It was launched on June 20, 2024, offering developers an AI-powered tool with features like a co-programmer powered by GPT-4 technology, command line, code editor, custom workflows creation, code analysis, question-answering, and more. The company provides different pricing plans and services to enhance developers' efficiency in the coding and development process.
To effectively use Devassistant.ai, follow these steps:
Understanding Devassistant.ai: It is an AI-powered tool with a GPT-4 co-programmer, providing a command line, code editor, and features like custom workflows, code analysis, and task automation.
AI Co-Programmer: Utilize the GPT-4-powered AI to assist in coding tasks and workflow automation by providing instructions for code additions or updates.
Command Line and Code Editor: Interact directly with the AI through the command line and code editor to complete programming tasks and inquire about the codebase.
Custom Workflows: Design custom workflows to streamline development processes according to your preferences for increased productivity.
Codebase Analysis: Allow the AI to analyze the codebase by scanning and responding to queries, helping you understand the code better.
Side-by-Side Code Viewing: View code changes side by side on the cloud-based VScode editor, enabling easy adjustments and commits.
Develop Environment Provisioning: Let the AI provision your development environment by configuring IDEs, coding tools, servers, and other necessities for a personalized and efficient development process.
Pricing Plans: Devassistant.ai offers a free trial and a basic plan at $20 per month with GPT-4 credit, VCPUs, memory, storage, and VS Code Cloud IDE capabilities.
Sign-Up: Sign up for the free trial directly on the website without providing credit card information.
Development Efficiency: Improve development process efficiency with automation, code analysis, insights, and personalized environment provisioning.
Support and Upgrades: Access customer support through the 'Get Help' section and be part of the Discord community for interactive assistance. Note that upgrading plans and porting VMs are currently not supported but are under consideration.
Follow these steps to maximize the potential of Devassistant.ai for your development needs.
Paid plans start at $20/month and include:
I appreciate the AI co-programmer feature, which provides useful suggestions while coding. It can help reduce errors and save time, especially for repetitive tasks.
The interface can be a bit clunky, and sometimes the AI suggestions are not as relevant, which can lead to confusion.
It helps with automating mundane tasks like code formatting and commenting, allowing me to focus on more complex problems. However, I wish it could handle larger codebases more efficiently.
The command line integration is decent, and I like the idea behind the custom workflows for automating tasks.
Unfortunately, the execution speed is often slow, especially when trying to analyze larger codebases. It can be frustrating.
While it helps with basic coding tasks, I find myself going back to traditional methods for more complex projects, as the AI doesn't always understand my intent.
The cloud-based VSCode editor is a game changer for collaboration among team members. It makes it easy to work together in real-time.
Sometimes, the AI's suggestions can be off-mark, especially when dealing with niche frameworks or libraries.
It streamlines the development process by automating DevOps tasks, which saves us a lot of time in deployment cycles.