Artificial intelligence is rapidly transforming the IT industry. New tools are emerging—both commercial and open-source—that can boost the productivity of developers, data analysts, DevOps specialists, project managers, testers, and security experts. Below is a list of the latest and actively developed AI tools from 2024–2025 that are worth mastering. For each tool, we provide a short description, an explanation of its career benefits, and an example of how to include it in a CV.
GitHub Copilot (GitHub/Microsoft)
Description: GitHub Copilot is a pioneering AI-powered coding assistant (developed in collaboration with OpenAI), integrated with code editors such as VS Code and IntelliJ. It suggests code snippets in real time based on context and comments, often generating entire functions or code blocks. Copilot also offers chat features (Copilot Chat) for code explanation and test generation, integrates with version control, and can automatically complete documentation and test cases. It is a commercial subscription-based tool. Why it’s worth adding to a CV: Familiarity with GitHub Copilot shows that you can effectively collaborate with AI tools in day-to-day programming. Using Copilot means faster coding, fewer errors, and higher team productivity. For an employer, it signals that a candidate keeps up with trends and uses modern tools to improve developer workflows.
CV Example: Technical Skills: “Proficient in using GitHub Copilot in Visual Studio Code for code autocompletion and unit test generation.”
Aider (open source, Paul Gauthier)
Description: Aider is an open-source command-line coding assistant created by Paul Gauthier (co-creator of OpenAI Codex). It enables “pair programming” with a language model—developers issue natural language commands, and Aider generates or edits code using GPT-3.5/4 (or local LLMs). It integrates with Git, automatically committing each change with a description, making it easy to track updates. Aider supports over 100 programming languages and can lint and test code on the fly.
Why it’s worth adding to a CV: Mastering Aider demonstrates initiative in adopting modern, community-driven AI tools. Since it’s an open-source project with an active community, it highlights your ability to self-learn and experiment with AI. In practice, Aider speeds up code refactoring, boilerplate generation, and debugging through natural conversation with the model. Employers see this as a sign that you can optimize your workflow with cutting-edge tools.
CV Example: Projects: “Automated code refactoring in Project X using Aider (AI pair programming in terminal), accelerating change implementation by 30%.”
OpenAI ChatGPT (Advanced Data Analysis)
Description: ChatGPT by OpenAI is a versatile AI assistant that, in 2023, received the Code Interpreter feature (now called Advanced Data Analysis). This functionality allows GPT-4 not only to generate text but also to execute Python code, analyze data, and handle user-uploaded files. ChatGPT can therefore perform analytics tasks: from processing datasets (CSV, JSON, etc.) to generating charts and reports, to performing calculations and interpreting results. For data analysts and developers, this means the ability to quickly prototype analyses in natural language with immediate code execution.
Why it’s worth adding to a CV: Proficiency with ChatGPT (especially ADA mode) is highly desirable today. It shortens the time needed for data exploration and ad-hoc script creation. Listing it on a CV shows that you can leverage AI for analytical automation and demonstrate prompt engineering skills—formulating effective instructions for AI models. Employers see this as a sign that you can boost team productivity and extract insights from data faster.
CV Example: Analytical Skills: “Experienced in using ChatGPT (GPT-4 Advanced Data Analysis) for data exploration and reporting (automatic dataset analysis, visualizations).”
Atlassian Intelligence (Atlassian: Jira, Confluence, Trello)
Description: Atlassian Intelligence is a suite of AI-powered features built into Atlassian’s cloud products (Jira, Confluence, Trello), acting as a “virtual team member.” Powered partly by OpenAI models, it can automatically create and summarize project content: generate meeting summaries, create user stories or task lists from ideas, and answer documentation or ticket-related questions. In Jira Service Management, AI acts as a virtual agent—automatically responding to common requests, suggesting solutions from knowledge bases, and improving ticket communication (e.g., adjusting tone to be more friendly).
Why it’s worth adding to a CV: Using Atlassian Intelligence proves you can manage projects more efficiently with AI support. It speeds up task management and team communication—enabling clearer task descriptions, faster progress summaries, and quicker access to documentation answers. Employers will see that you can use Jira/Confluence’s advanced features to improve transparency and reduce routine workload, enhancing project organization.
CV Example: Projects: “Utilized Atlassian Intelligence in Jira/Confluence for project automation—generating sprint summaries and automating service request responses.”
Red Hat Ansible Lightspeed (IBM/Red Hat)
Description: Ansible Lightspeed is a generative AI assistant for IT automation, developed by Red Hat with IBM. It uses language models to generate Ansible scripts (YAML) from natural language prompts. In other words, a DevOps engineer can describe what they want (e.g., “Configure a web server with these parameters”), and Lightspeed suggests a ready-to-use Ansible playbook. Focused specifically on Ansible’s domain, it understands IT automation better than general coding models.
Why it’s worth adding to a CV: Working with Ansible Lightspeed is a strong asset for DevOps/Infrastructure as Code roles. It shows not only knowledge of classical Ansible but also the ability to accelerate automation with AI. This translates to faster infrastructure deployment and fewer errors, as the model suggests correct syntax and modules. For employers, it signals a candidate who can modernize CI/CD pipelines with AI-driven automation.
CV Example: Technical Skills: “DevOps automation using Red Hat Ansible Lightspeed (generating playbooks from natural language commands).”
Mabl (AI-powered testing platform)
Description: Mabl is an AI-native software testing automation platform. Since 2017, it has used AI across the testing lifecycle—from creating test cases to executing and maintaining them. In 2024, Mabl introduced GenAI features: generating test scenarios from natural language, auto-creating assertions for dynamic UI elements or chatbots, and generating database queries or JavaScript snippets for tests. Its AI also analyzes test results—self-healing minor test failures (~85% less maintenance), summarizing root causes, detecting performance anomalies, and spotting unexpected UI changes.
Why it’s worth adding to a CV: For testers and QA engineers, mastering Mabl shows that you keep pace with modern testing trends. Listing it in a CV signals the ability to design and maintain automated tests more efficiently, leveraging AI for test generation and faster bug diagnostics. In practice, this leads to quicker delivery of high-quality software. Employers benefit from increased test coverage and product stability without proportional cost increases.
CV Example: Tools & Technologies: “Mabl – advanced AI-driven testing automation platform (test scenario generation, self-healing tests).”
Microsoft Security Copilot (Microsoft)
Description: Microsoft Security Copilot is an AI assistant for security specialists, built on GPT-4 and Microsoft’s massive threat intelligence dataset. It integrates with Microsoft’s security ecosystem (Sentinel SIEM, Defender services, Entra ID) and enables natural-language-driven analysis of security incidents. Security Copilot can summarize alerts/logs, identify event correlations, generate incident reports, and suggest remediation steps/scripts. It works both as a standalone app (where analysts can ask, e.g., “Show me critical incidents from the last 24 hours” or “Are there vulnerable apps in our network?”) and as a contextual assistant embedded in Microsoft’s security dashboards.
Why it’s worth adding to a CV: In cybersecurity, rapid data analysis and proactive response are key. Familiarity with Microsoft Security Copilot shows you can leverage state-of-the-art tools for these tasks. A CV entry signals that as a SOC analyst or security engineer, you can apply AI to detect attack patterns, aggregate vulnerability intelligence, and assist in remediation—working more effectively than with traditional tools. For employers (especially those using Microsoft’s ecosystem), this means stronger protection with modern AI tools.
CV Example: IT Security: “Experience with Microsoft Security Copilot – AI assistant for threat analysis (incident summaries, vulnerability identification, security report generation).” ** UiPath Autopilot (UiPath)
Description: UiPath Autopilot is a new AI-enhanced feature set integrated with UiPath’s RPA platform. It allows the creation and execution of complex automation workflows from natural language commands. Instead of manually building RPA scripts step by step, a user can simply state their intent (e.g., “Extract invoice data from PDF, enter it into System X, then send a confirmation email”)—Autopilot translates it into a UiPath automation sequence. The platform combines multiple technologies: UI automation (UiPath robots), API integrations, intelligent document processing (OCR/IDP), and embedded AI decision-making models. UiPath Autopilot also integrates with Microsoft 365 Copilot, enabling Office users to trigger UiPath automations directly from familiar apps.
Why it’s worth adding to a CV: For automation specialists and business analysts, UiPath Autopilot is a competitive edge. It shows the ability to design advanced AI-powered RPA solutions—automating not only simple repetitive tasks but also more complex processes requiring intelligence (e.g., document understanding, scenario-based reactions). Listing it in a CV signals that you can deliver automation faster and integrate it with popular tools like Microsoft 365, improving organizational workflows. Employers see it as proof of modern AI/RPA expertise that reduces costs and increases efficiency.
CV Example: Projects: “Implemented RPA processes using UiPath Autopilot – automating business workflows from natural language descriptions (integration with MS Office, intelligent document processing).”
Summary
Mastering the above AI tools from 2024–2025 will undoubtedly set you apart in the job market. Whether you are a developer, analyst, DevOps engineer, project manager, tester, or security expert, applying AI in your field demonstrates innovation and continuous growth. Including these skills in your CV (in sections such as Technical Skills, Experience, or Projects) shows employers that you can work more efficiently with modern tools and are ready to use AI wherever it delivers real business value. This makes your CV more attractive and prepares you for the challenges of today’s IT landscape.