Developers express significant frustration with technical debt at their workplaces.
AI Perception:
Developers generally do not see AI as a threat to their jobs.
76% are using or planning to use AI tools, though only 43% trust their accuracy.
Developer Sentiments
Increased realism of job versus projects.
Notable increase in developers comfortable with AI, but skepticism remains.
Technical Debt: A major source of frustration for developers
62% identified it as their main concern.
Languages and Frameworks
Programming Languages Usage:
JavaScript (62%), HTML/CSS (53%), Python (51%) are most commonly used.
Rust leads in admiration with an 83% admiration rate.
Python remains the most desired language among learners for its simplicity.
Learning and Resources
Learning Platforms:
82% of developers learn to code using online resources; only 49% in formal schooling.
High reliance on Stack Overflow and technical documentation.
Satisfaction and Frustrations:
Developers report greater satisfaction in improving overall code quality rather than just maintaining legacy systems.
Economic Challenges for Developers
Salary declines of 10K USD or more reported, especially among software developers in non-managerial roles.
Blockchain-related roles observed a significant decrease in median annual salary from over six figures to about 86K USD.
Many fear the consequences of market saturation combined with the shift to remote work models affecting compensation.
Developer Roles
Most common roles are still full stack (31%) followed by backend (17%).
Learning opportunities are abundant, but focus on a limited number of languages remains prevalent in practical applications.
Embedded Technologies
3% of developers revealed working with embedded technologies.
Popular platforms include Raspberry Pi (39%) and Arduino (30%).
Integrated Development Environments (IDEs)
Most Popular Choices:
Visual Studio Code and Visual Studio consistently rank highest despite the rise of alternatives like Neovim.
Conclusion
Overall satisfaction amidst economic difficulties and high levels of frustration around technical debt are critical takeaways for understanding the future landscape of software development.