AI Insights

Artificial Intelligence has rapidly become an integral part of the modern IT toolkit. With a growing number of AI tools available, professionals now have powerful options to streamline workflows, automate repetitive tasks, boost productivity, and even spark creativity. From data analysis to system monitoring and documentation, the right AI tools can make a real difference in everyday work.

Godel has its own AI Community which consists of highly professional experts. To mark AI Appreciation Day, which is celebrated all over the world on July 16th, we asked our colleagues to share the AI tools they rely on most – and why. Here’s what they say.

VP AI Engineering and Head of AI Community, Andrei Salanoi:

My AI toolkit includes six standout tools: GitHub Copilot, ChatGPT, NotebookLM, Perplexity.ai, Claude Code, and Open Hands. Each of them plays a unique role in helping me tackle software development challenges, conduct web searches and research, and analyze documents. Thanks to these tools, I’m noticeably more productive – I can solve more problems independently without constantly relying on experts.

If I had to pick just one AI tool to use daily, it would be GitHub Copilot. Its Agent mode is a game-changer, handling the majority of my development tasks with ease.

The only real downside? The high cost of using these tools regularly.

Head of Learning and Development, Vera Dudochkina:

In L&D we use Gamma tool. Gamma enables us to create visually engaging, interactive presentations for educational courses and internal events. It helps to design slide decks quickly without needing separate design software, turn course materials into polished, modern presentations, create clean, minimal visuals ideal for knowledge-sharing sessions, workshops, or course modules. Using this tool, we present content in a non-linear way, which works well for interactive formats and live Q&A and share it easily as live links or downloadable PDFs for broader distribution or LMS uploads.

For me, the main Gamma advantages include high speed and ease of use – going from rough notes to a complete presentation in a very short time. It helps to design without design skills – Gamma’s default aesthetics make presentations look clean and professional, even without a design background. The built-in AI helps structure content, generate phrasing, and suggest layouts – streamlining the entire creation process. I would also mention the possibility to present in slideshow mode, sharing a document view, or publishing as a webpage depending on the audience. Using Gamma we can share drafts with colleagues and collect feedback quickly.

However, we noticed some disadvantages as for example limited customization – while the design is clean, it doesn’t allow as much detailed control over layout or formatting as tools like PowerPoint or Canva. There are also interactivity limitations – for more advanced interactivity like embedded quizzes or drag-and-drop exercises – we need to use some other platforms. Moreover, exported PDFs or offline versions sometimes lose transitions or animations, which can affect the user experience. Sometimes you need to learn how to use advanced features of Gamma – while it’s easy to get started, mastering some of the more powerful options (like structuring branching slides) takes a bit of exploration.

.NET Division Expert, Pavel Zakharau:

My go-to AI tools are GitHub Copilot and Claude Chat. I primarily use them for coding tasks and writing effective prompts. What really stands out to me is the strength of the underlying AI models – they’re powerful and capable of handling complex queries. That said, GitHub Copilot doesn’t always deliver exactly what I need, especially for more nuanced tasks. If I had to choose just one AI tool to stick with, it would be Claude by Anthropic – It’s the one I find most reliable overall.

Sr. .NET Software Engineer, Raman Samuseu:

I mainly use ChatGPT, GitHub Copilot, and Claude Sonnet. These tools are incredibly helpful when it comes to solving coding-related problems. Occasionally, I also use them to generate text and support my Polish language learning.

What I like most about these tools is their speed and creativity – they respond quickly and often come up with great ideas. That said, like all AI tools, they’re not perfect. Sometimes the solutions they provide don’t quite work and need a second look.

If I had to narrow it down to just two, I’d stick with GitHub Copilot for development tasks and ChatGPT for everything else, from casual prompts to language practice.

Sr. Java Software Engineer, Aliaksandr Haurylau:

I primarily use Gemini Pro, GitHub Copilot, Google Jules, Atlassian Rovo Chat, NotebookLM, and Warp Terminal. These tools help me tackle a variety of tasks – from QA and document creation to refining content and navigating through extensive documentation and task lists.

What impresses me most is how close current large language model (LLM) solutions are to truly understanding and assisting with complex problems – It really feels like a breakthrough.

If I had to pick just one AI tool, it would be Google AI Studio, since it offers an all-in-one solution. The downside, however, is the pay-as-you-go pricing based on token usage, which aligns with what some of my colleagues say: the high cost of AI tools remains their biggest drawback.