From text generation to entire chains of code, artificial intelligence is one of the most powerful assistants that any professional can have when working, among these of course is the developer or engineer.
Just as ChatGPT, to name a few, can help a child do their natural science report, it also has the ability to devise entire lines of code ready to be used within the development of a mobile application or any software product.
We are going to review the artificial intelligence tools most used by developers
Stepsize AI
This is a fundamental tool, as it will save valuable time for the developer team by helping them write almost perfect sprint reports, allowing this tedious task to be automated. It is specially designed for use with platforms such as Jira or Linear.
Key features:
- Reports with valuable information and context
- The number of meetings is reduced
- All team members can be in tune with what the other is doing
- Focused approach to security and data protection
CodyAI
Any software development company that is not using CodyAI can be considered outdated. Coding assistants, like this tool, save time and can be very helpful in the right hands: they suggest the code to use, and generate complete files automatically using their natural language processing capabilities.
Key features:
- Detailed code navigation
- Language Translation
- Complete code analysis and debugging tips
- Most of its features are free
Tabnine
A reliable and security-based code assistant. Tabnine is a code-writing assistant built on GPT-3.5 and offers a lot of valuable features for any developer to write code faster. Due to its long history in the market, Tabnine offers strong security and compliance credentials that offer peace of mind when protecting sensitive data.
Key features:
- Security-based encryption assistant
- Training data transparency during the initial process
- Local execution out-of-the-box on demand
MutableAI
We have already seen other code-writing assistants on this list, but they all have unique qualities that make them worthy of being here, such as MutableAI. This assistant guarantees the developer improved and faster code delivery, all running on proprietary artificial intelligence. It hasn't been on the market for long, but it is one of the most modern.
Key Features
- Codebase chat and semantic search
- AI edits of multiple files
- Repository intelligence for bug tracking
Mintlify Writer
One of the most tedious parts of software development is documentation, so of course there has to be an artificial tool to help in this aspect, right? Mintify Writer is designed to write valuable, accurate documentation with all the necessary details. Completely automates the creation of contextual documentation.
Key Features
- A single click allows you to generate a complete documentation report
- Supports multiple programming languages
- Can generate contextual descriptions
- It's free
Grit.io
This is a tool that specializes in handling tasks focused on code migrations and updating dependencies, making potentially intimidating processes for a novice developer simple and fast.
Key Features
- Full code update and migration
- Automation of technical debt tasks.
- Free for teams of up to 20 developers
Using artificial intelligence tools in a software development company can significantly improve productivity and efficiency. AI-based code completion and debugging tools, for example, can help developers write code faster and with fewer bugs. These tools analyze patterns in the code base and suggest relevant code snippets or flag potential problems before they become critical.
AI can also monitor application performance in real-time, providing insights and alerts about any anomalies or performance issues. This proactive approach allows development teams to address issues quickly, improving overall software reliability and performance.
By leveraging AI tools, software development companies can improve their development processes, reduce costs, and accelerate their time to market.
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