Published July 21, 2024
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Today, AI tools are changing the way front-end developers work in a fast-evolving software development landscape by providing smarter and faster solutions for daily coding challenges. The AI software industry is expected to hit $407 billion by 2027, from $86.9 billion in 2022, and it is expected to contribute a significant 21% net increase to the United States GDP by 2030. For Java development teams, AI can boost productivity, automate workflows, and improve the quality of code. This blog will tell you about the ten leading AI tools without which your Java development team may not thrive.
Founder: Dror Weiss and Professor Eran Yahav
Users: Over 1 million developers globally
Price: Free basic plan, Pro plan at $12/month
How it Works: Tabnine offers AI code completion by predicting and suggesting the next lines of code. It integrates with popular IDEs and supports over 80 programming languages.
Usefulness for Java Development: Speeds up coding by suggesting accurate code completions, reducing the time spent on writing repetitive code.
How The Market Uses It: Many companies report increased productivity, with developers at companies like Wix using Tabnine to accelerate their coding tasks and reduce errors.
Founder: Freddy Mallet, Simon Brandhof, and Olivier Gaudin
Users: Software developers, quality assurance engineers, and project managers
Price: Free and open source for dev productivity and code quality. Paid plans for developers and private repositories start at $160/year.
How it Works: SonarQube operates as a continuous inspection tool for code quality. It integrates with various build systems and analyses source code for bugs, vulnerabilities, code smells, and other quality issues. It provides detailed reports and metrics to help teams improve code quality throughout the development lifecycle.
Usefulness for Java Development: Helps identify and fix bugs quickly, ensuring cleaner and more efficient code.
How The Market Uses It: Companies use it to improve code quality and development efficiency, catching issues early in the development process.
Founder: Tsavo Knott
Users: Thousands Globally
Price: Free
How it Works: Pieces for Developers enhances Java development efficiency by allowing developers to save, enrich, and quickly search through code snippets, which helps streamline the coding process and reduces time spent on repetitive tasks. The AI copilot learns from user interactions and provides personalised assistance.
Usefulness for Java Development: Enhances productivity by quickly accessing code snippets and personalised suggestions, streamlining the coding process.
How The Market Uses It: Development teams use Pieces to organise and quickly reference code snippets, significantly speeding up their workflow.
Founder: Sam Liang
Users: Over 1 million users
Price: Free plan; Pro plan at $10/month
How it Works: Otter.ai transcribes meetings, identifies speakers, and allows searching and sharing of transcripts.
Usefulness for Java Development: Otter.ai is particularly valuable for Java developers as it helps streamline communication and documentation throughout the development process. By transcribing meetings and identifying speakers, Otter.ai ensures that key discussions about project requirements, coding standards, and design decisions are accurately recorded. This allows developers to easily reference important details and decisions, ensuring everyone on the team remains aligned. Additionally, the ability to search and share transcripts helps quickly find and revisit critical points from meetings, which can be crucial for tracking progress, clarifying misunderstandings, and maintaining effective collaboration.
How The Market Uses It: Teams use Otter.ai to transcribe sprint planning meetings, improving communication and reducing misunderstandings.
Founder: OpenAI
Users: Millions globally
Price: Free
How it Works: Codex translates natural language into code, supporting multiple programming languages and understanding contextual information.
Usefulness for Java Development: Generates code snippets from natural language descriptions, speeding up development.
How The Market Uses It: Development teams use Codex to automate test case generation from specifications, improving testing efficiency.
Founder: Amazon Web Services (AWS)
Users: Tens of thousands globally
Price: Free for individuals; team plans start at $19/month
How it Works: Generates real-time code suggestions in the IDE by analysing existing code and comments, which helps Java developers write code more quickly and accurately. Additionally, it scans for potential vulnerabilities, ensuring that your Java code is secure from common threats. This combination of features enhances both coding efficiency and code security, which is crucial for maintaining robust and secure Java applications.
Usefulness for Java Development: Enhances coding speed and security by providing accurate suggestions and vulnerability scans.
How The Market Uses It: E-commerce companies use Amazon Q Developer to secure code and accelerate development cycles.
Founder: GitHub (Microsoft)
Users: Over 1 million developers
Price: Starts at $10/month
How it Works: Auto-completes code in the IDE using AI trained on a vast dataset of public code repositories.
Usefulness for Java Development: Increases productivity by generating code snippets and suggesting entire functions.
How The Market Uses It: Fintech startups use Copilot to speed up coding processes and deliver features faster.
Founder: Not Disclosed Publically
Users: Thousands globally
Price: Starts at $10/month
How it Works: Explains code in natural language, translates between programming languages, and optimises code efficiency.
Usefulness for Java Development: Helps understand complex codebases and ensures efficient code translation and optimisation.
How The Market Uses It: Development firms use Figstack to bridge code between languages, improving project efficiency.
Founder: Amjad Masad
Users: Hundreds of thousands
Price: Free; paid plans start at $7/month
How it Works: Provides real-time code explanations, edits, and completions within an online-based IDE.
Usefulness for Java Development: Supports quick prototyping and collaborative coding in Java by providing real-time code explanations and edits, which can streamline the development process and facilitate teamwork in a cloud-based environment.
How The Market Uses It: Education platforms use Replit Ghostwriter for teaching coding and rapid prototyping.
Founder: Guy Podjarny
Users: Hundreds of thousands
Price: Free for individuals; team plans start at $57/month
How it Works: Scans code for security vulnerabilities and license compliance issues using machine learning.
Usefulness for Java Development: Ensures secure code by identifying and fixing vulnerabilities within the IDE.
How The Market Uses It: Tech companies use Snyk to maintain secure codebases and compliance in their software projects.
By integrating AI capabilities, we can improve the efficiency of coding, detect bugs using AI tools, complete code with help from an integrated language model, and boost overall productivity in Java developers. By taking a look at some of the top practices, an inverse process can be discovered by which AI assists developers with writing better code quicker to avoid errors and focus on more challenging problems.
To reach new levels of innovation and performance while keeping up with the fast-paced developments in tech today, you will need to use the tools to your advantage when working as a team on Java development. You are on the right page if you are a business looking to hire offshore Java developers utilising such AI solutions. At Smart Working, we have a trained team of professionals who can vet skilled Java developers for you and get the best talent from the global market. Talk to a consultant today and start your free talent search now!
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