AI has become essential for developers, transforming how they work. It’s no longer just a futuristic concept but a practical tool driving progress. Between 2015 and 2019, businesses adopting AI increased by a staggering 270%. Even before advanced models like LLMs became common, AI was reshaping industries.
Developers, too, are fully onboard. A GitHub survey from 2023 revealed that 92% of programmers already use AI in their workflows. Another report by Stack Overflow highlighted what developers are aiming for: faster coding and fewer bugs. They see AI as a way to boost productivity and improve accuracy.
With AI offering such game-changing advantages, keeping up is no longer optional. Developers need to harness its power to stay competitive. Below are some of the top AI tools every developer should know in 2025:
1. Tabnine For Code Completion
Tabnine is a smart AI tool designed for developers. It helps with code completion and prediction. It supports languages like JavaScript and Python. It uses machine learning to understand your code and predict what you will write next.
The tool offers suggestions for code snippets, completes functions, and can even generate entire classes. Beyond that, it helps with code refactoring. It identifies parts of your code that could be made more efficient or easier to read.
Tabnine integrates with popular IDEs and editors, including Visual Studio Code, IntelliJ IDEA, and Sublime Text, making it a versatile tool for developers.
2. SNYK For Code Security
SNYK is a cloud-based tool that helps developers find security vulnerabilities and open-source license issues in their code. It uses a combination of machine learning, static analysis, and dynamic analysis to examine code.
Developers praise Snyk for its accuracy and reliability. It has been trained on a large dataset of code and is regularly updated with new data. This ensures that Snyk can identify potential issues with high confidence. The tool is also easy to use, making security checks simpler for developers.
3. PolyCoder For Code Generation
PolyCoder is an AI-powered tool that helps developers generate code in multiple programming languages, like javaScript and Python. It is trained on a large dataset, allowing it to produce high-quality code. It can also understand the patterns and conventions of different languages, making it useful for tasks like building machine learning models or developing web applications.
The tool was announced in May 2022 with this statement: “We release a new model, PolyCoder, with 2.7B parameters based on the GPT-2 architecture, trained on 249 GB of code across 12 programming languages on a single machine.”
While this approach seemed strong at the time, it’s important to note that GPT-2 is now outdated. Large Language Models can sometimes produce inaccurate results, so you should be cautious with the code PolyCoder generates. It’s great for brainstorming, but it’s always better to rely on your own code.
4. Otter.ai For Meeting Transcriptions
Otter.ai is an AI-powered tool that transcribes meetings. It’s available for both desktop and mobile devices. The tool can identify speakers and attribute their words to them in the transcript. It also includes timestamps, making it easy to find specific moments with a simple Ctrl+F search.
Otter.ai uses deep learning and natural language processing to transcribe with high accuracy, even in noisy environments. It works well for most meetings. However, speakers with Non-American English accents may find the transcription less accurate. Otter might have been trained mostly with American accents. For multinational meetings, it’s best to use Otter alongside other tools.
5. Hugging Face for NLP and LLMs
Hugging Face is an open-source platform focused on natural language processing (NLP) and large language models (LLMs). It simplifies the development of NLP applications by providing pre-trained models for tasks like text classification, question answering, and machine translation.
The platform offers a “playground” where developers can try out prompts with a pre-defined GUI. For example, you can ask OpenGPT-4o (not endorsed by Scarlett Johansson) to perform basic calculations based on image recognition.
Hugging Face also offers a well-organized library of datasets designed for NLP tasks. It includes useful tools like tokenizers, transformers, and training scripts.
6. Figstack For Code Reading
Figstack is an AI-powered tool that helps developers understand code in any language. It uses machine learning and natural language processing to analyze code and generate clear, easy-to-understand explanations.
The tool can be used while writing, reviewing, or debugging code. It also analyzes code for errors, security vulnerabilities, and performance issues. Additionally, Figstack can create documentation for specific functions, classes, and modules, making it easier to maintain your code.
7. Codepeer.ai For Website Generation
Codepeer.ai is an AI-powered tool that helps developers create websites quickly and without writing code. It uses machine learning and natural language processing to generate responsive, accessible, and SEO-Friendly websites.
The tool also ensures websites are accessible to people with disabilities. This includes making them usable for people with visual, hearing, and other disabilities.
8. Stepsize AI For Code Debugging
This AI-powered tool helps developers debug code quickly and easily. It can be used for tasks like debugging new code, existing code, code reviews, and production code. Not only is Stepsize AI accurate in identifying bugs, but it’s also fast. It can debug complex codebases in seconds or minutes.
9. Cursor: AI-Powered Code Editor
Cursor is an AI-powered editor built on Visual Studio Code. It integrates GPT-4 functionalities to enhance the coding experience (you need your own OpenAI API key). Since it “knows” your code, you can ask it about specific parts.
For instance, GPT-4’s ability to understand and generate text enables natural language search and real-time code suggestions. It can also provide help documentation and explanations directly in the editor. However, some Reddit users have reported issues with GPT-4 performance in Cursor, suggesting potential integration problems. The engineering team has confirmed that Cursor is working with GPT-4.
At Code Genesis, we specialize in providing AI-driven solutions tailored to your business needs. From intelligent automation to machine learning model development and natural language processing, our AI development services empower businesses to harness the full potential of AI. Whether you need to integrate AI tools like those listed above or develop custom AI solutions, we offer end-to-end AI services that streamline operations and boost productivity. Learn more about our AI development services.
By integrating these AI tools into your workflow, developers can supercharge their productivity, streamline their coding processes, and enhance their projects. These tools are designed to take coding workflows to the next level, allowing developers to focus more on creative problem-solving and less on repetitive tasks.