- Salesforce says that 96% of developers are delighted with the positive impact of AI
- The agentic AI democratizes access to coding, report complaints
- Poor data quality is always a major obstacle
Salesforce, a company that plunges its first head into the world of artificial intelligence and agency AI, has new research suggesting that almost all developers (96%) of a global survey are enthusiastic about the impact of technology on their careers.
More than nine out of 10 (92%) specifically highlighted how AI agents could help them advance in their work, AI being now considered essential that traditional software tools by four fifths of British and Irish developers.
In a blog article, the company wrote: “The arrival of agentic AI offers developers the possibility of focusing less on tasks such as code writing and debugging and becoming more strategic and high impact work.”
Developers feel positive about AI
While many early concerns about human workers threatening artificial intelligence continue to be vocalized, it is clear that AI should revolutionize programming for the best by democratizing access to more powerful tools, improving efficiency and making careers in the sector more accessible to more workers – helping to fill the current skills gap.
Certain common use cases for AI include code generation, where developers can spend more time editing and refining the elements of the code than writing it, and optimizing the existing code.
“By automating tedious tasks such as data cleaning, integration and basic tests, LIA free developers are concentrated from manual coding to high value problems, architecture and strategic decision-making,” noted Alice Steinglass, EVP and GM for the platform, integration and automation of SALESFORCE.
Now, about four in five developers who use AI agents already use low and code-free tools (78% in the United Kingdom, 79% in Ireland), as much as many believing that low and code-free tools have the power to democratize the development of AI (80% in the United Kingdom, 78% in Ireland).
Other commonly expected improvements include speed development speed and efficiency, increased quality, creativity and problem solving.
Programmers now urged their organizations to upgrade their infrastructure to support AI agents, but there are too familiar obstacles to overcome first. More than two out of five (47% in the United Kingdom, 42% in Ireland) say that poor data quality is an obstacle to the implementation of AI.
