We live surrounded by screens, lines of code, Automation and algorithms.
In our day to day as a software development company, It is easy to get carried away by programming languages, Modern architectures and the latest trends in artificial intelligence. But there is something we should never lose sight of: people behind all that. About us, you, each.
Just because, Technology moves us, We are passionate and challenges us. But what really connects and drives us as a team is not alone on keyboards. Is in sincere conversations, In empathy, in knowing how to listen, In being able to give and receive feedback with respect. In other words: It is in the soft skills.
What are the SOFT SKILLS And why do we care?
Las soft skills - Or soft skills - are those skills that are not learned in a YouTube tutorial or in a certification.
They have to do with how we communicate, How we manage time, How we collaborate as a team, How we solve conflicts, How we lead, How we adapt.
And although it seems curious, In an environment as technical as ours, These skills have an immense impact. Because no project is built only with technical talent. Patience is also needed, commitment, attitude and many times, common sense.
Technology needs more humanity, No less
Automation progresses, The systems become smarter, And there are more and more tools that "do the job for us". But precisely for that, human skills take more relevance than ever.
In a distributed team, For example, Knowing how to communicate clearly and empathic is not a "plus", It is essential. Actively listen, Understand the times of others, Find joint solutions… All that makes technology work better, Because it makes people work better together.
In addition, When things get complicated - as it usually happens in any development -, It is there where it shines who knows how to handle frustration, who proposes, who accompanies, who looks for the best for everyone.
That is the kind of talent that makes the difference.
Build technology from a more human place
In our company, We bet on cultivating these skills as well as techniques. Because we know that a great code is worth nothing if there is abuse behind, chaos or egos that do not allow growing.
That is why we celebrate the teams that communicate well. The leaders who inspire without imposing. People who know when to speak, But also when to listen. Because we believe in the future where software development is not only measured in lines of code, but as links, mutual respect and projects that really add.
The future is human
The technical can learn. The human is cultivated. And in such an accelerated world, so hyperconnected, so full of data ... what we will need most are people who know how to work with other people. Not just to develop more efficient solutions, but also to build healthier work environments, sustainable and empathic.
When we talk about artificial intelligence, Many times the focus is made in the technical: How a model is trained, What algorithm is more efficient, How to optimize resources. But there is a fundamental dimension that cannot be automated or set aside: The human side. And there the soft skills.
Soft skills and artificial intelligence
In projects involving Ia, These soft skills are key for several reasons:
- Critical thinking: Not everything that suggests a model is correct or ethical. Criteria is needed to evaluate the results, ask the right questions and not accept AI answers as absolute truths.
- Clear communication: Many times technical teams have to explain complex results to non -technical people. Knowing how to translate the technical in human terms is a very valuable ability.
- Empathy and ethics: AI has no values, But we do. Be able to anticipate how a solution can impact on people's lives, foresee biases or unwanted consequences, Requires sensitivity and awareness.
- Interdisciplinary collaboration: Projects with AI usually involve various profiles: developers, Data scientists, Designers, Product specialists. Working in harmony requires social and emotional management skills.
- Adaptability: AI advances fast. Be willing to learn, unlearn and adjust the course is part of the work. Rigidity does not take place here.
As Maya Angelou said:
"People will forget what you said, people will forget what you did, But he will never forget how you made them feel. "
In technology, That also counts. And a lot.
