Artificial Intelligence has moved beyond the buzzword phase and is now a practical part of daily work for many software developers. At Algoteque, we ran an internal survey to understand how our teams are using AI tools in real-world projects, where allowed. The results not only reflect current trends within our organization but also mirror what’s happening in the broader tech industry. Here’s a breakdown of our findings, paired with market insights and strategic recommendations for companies thinking about adopting AI.
🔍 Internal Survey Results – AI in Action
💡 Who Uses AI?
- 71% of respondents actively use AI tools in their projects.
- 29% do not use AI, citing company policies, security restrictions, or lack of need as key reasons.
🔧 Most Popular AI Tools Used
These tools span across coding, writing, automation, and even creative work:
- ChatGPT – 35%
- GitHub Copilot – 18%
- Perplexity, Gemini, Claude 3.5, DeepSeek, Whisper, Rhaspby, Ollama, Atlassian Intelligence, Codeium – each used by 6%
- Niche Tools like Cursor, Forge, OpenLlama, KlingAI, OpenArt, n8n, and make.com also appeared in responses, each mentioned by 6% of users
📌 How AI Is Being Used
- Coding & Development: Writing, refactoring, testing, and debugging code faster and more efficiently.
- Efficiency Boost: Automating tasks, generating documentation, researching technical topics.
- Creative Support: Writing clear documentation, emails, or even design content.
- DevOps & Home Automation: Some developers have started using AI in creative ways to improve workflows, both in projects and personally.
⏳ Impact on Work
- Developers consistently noted that AI helps reduce time spent on repetitive tasks.
- AI is often faster than traditional Google searches for technical queries.
- Some reported an efficiency boost of 10% or more in daily workflows.
🌍 AI Trends in the Global Software Development Landscape
According to Gartner, by 2025 more than 50% of software engineering roles will include AI-powered tools in their workflows. Tools like GitHub Copilot, ChatGPT, and Codeium are being widely adopted across startups and enterprises alike, primarily for:
- Enhancing developer productivity
- Reducing onboarding times
- Improving code quality through faster iteration
A Stack Overflow Developer Survey showed that nearly 70% of developers have experimented with AI tools, and a growing number use them weekly or daily. The fastest-growing adoption is seen in areas like:
- Test generation
- Bug detection
- CI/CD pipeline optimization
- Documentation writing
✅ Recommendations for Organizations Considering AI Adoption
- Start with Pilot Projects
Begin by allowing AI tools in non-sensitive environments. Use pilot teams to measure productivity impact and gather feedback. - Define a Clear AI Usage Policy
Address security concerns by setting clear guidelines for when and how AI tools can be used—especially in regulated industries like banking or healthcare. - Provide Training and Best Practices
Help developers use AI tools effectively. Introduce internal guides or short workshops on how to get the most out of tools like Copilot or ChatGPT. - Balance AI with Human Oversight
Encourage developers to treat AI as a productivity assistant—not a replacement. Review AI-generated code with the same rigor as manually written code. - Monitor Efficiency Gains
Set metrics for code quality, velocity, and defect rates before and after AI adoption. Many teams report 10–30% improvements in throughput. - Encourage Innovation
Let teams explore unique use cases—AI for DevOps scripts, workflow automation, or team retrospectives. These bottom-up innovations often lead to unexpected gains.
🧠 Final Thoughts
AI in software development is no longer experimental—it’s real, it’s practical, and it’s here to stay. Our internal survey shows a strong appetite for AI tools, with a clear link to productivity and developer satisfaction. Organizations that enable AI-assisted development—safely and strategically—will not only gain a competitive edge but also create more motivated, future-ready teams.
Algoteque continues to explore responsible AI adoption across client projects, balancing innovation with security and compliance. Want to see how AI can enhance your development team’s capabilities?
Let’s talk: contact@algoteque.com