Python Dev Survey: PostgreSQL, AI Agents, Rust Drive Trends

A recent Python Software Foundation survey of over 30,000 developers reveals rising adoption of PostgreSQL (45%) for databases, AI coding agents (80% usage) for productivity, and Rust for secure packages (22% growth). Despite many sticking to older Python versions, these trends highlight a focus on efficiency, security, and integration in modern development.
Python Dev Survey: PostgreSQL, AI Agents, Rust Drive Trends
Written by John Smart

In the ever-evolving world of software development, Python continues to solidify its position as a cornerstone language, with recent surveys revealing shifting preferences among its vast community. A comprehensive poll by the Python Software Foundation, in collaboration with JetBrains, gathered insights from over 30,000 developers worldwide, highlighting a notable uptick in the adoption of PostgreSQL as the database of choice, alongside growing enthusiasm for AI-powered coding assistants and Rust for building packages. This data, detailed in a Slashdot report published on August 25, 2025, underscores how Python developers are adapting to modern demands for efficiency, security, and integration.

Despite the release of Python 3.13 in late 2024, which introduced features like improved performance and better error handling, the survey shows that a significant portion of developers—around 60%—are still relying on older versions such as 3.8 or 3.9. This lag, as noted in the JetBrains PyCharm Blog’s analysis of the survey, may stem from enterprise environments where stability trumps cutting-edge updates. However, the poll also indicates a slow migration, with 25% of respondents planning to upgrade within the next six months, driven by needs in data science and web development.

PostgreSQL’s Rising Dominance in Data Handling

PostgreSQL has emerged as the preferred database for Python projects, with 45% of surveyed developers citing it as their go-to option, up from 38% in the previous year. This surge, as reported in the PyCharm Blog, is attributed to its robust support for extensions like pgvector for vector databases, which are crucial for AI applications. Developers appreciate its ACID compliance and extensibility, making it ideal for handling complex queries in machine learning pipelines. In contrast, alternatives like MySQL have seen a slight decline, dropping to 30% usage, as Python’s community leans toward tools that integrate seamlessly with data-intensive tasks.

The survey’s findings align with broader industry trends, where PostgreSQL’s ecosystem is praised for its performance in cloud environments. A post on X from developer Charlie Greenman on August 19, 2025, echoed this sentiment, noting a shift from NoSQL solutions like DynamoDB to PostgreSQL for new projects due to its intuitive extensions. This preference is further evidenced in Stack Overflow’s 2024 Developer Survey, republished in 2025, which ranked PostgreSQL as the most popular database overall, with Rust-admiring developers highlighting its reliability.

AI Coding Agents: A Productivity Revolution

AI coding agents are transforming how Python developers work, with over 80% of respondents reporting regular use of tools like GitHub Copilot or OpenAI’s ChatGPT. The Python Software Foundation’s survey, as covered in a heise online article from six days ago, reveals that these agents are not just novelties but essential for accelerating code generation and debugging. Developers in web and AI fields particularly value them for suggesting optimizations, with 65% claiming productivity gains of at least 20%.

However, concerns about over-reliance persist. The survey notes that while AI tools excel in boilerplate code, they falter in nuanced logic, prompting calls for better integration with human oversight. Insights from the Stack Overflow Blog in its 2025 republication emphasize that developers view AI as a collaborator, not a threat, with only 15% worried about job displacement. Posts on X, such as one from Alex Reibman on January 2, 2025, list essential AI agent stacks including Python-native frameworks like pyautogen, underscoring their role in multi-agent automation.

Rust’s Appeal for Secure Python Packages

A striking revelation from the survey is the growing preference for Rust in developing Python packages, with usage jumping 22% year-over-year. As detailed in The New Stack’s coverage on August 22, 2025, Rust’s memory safety and performance make it a compelling choice for extensions that require C-level speed without the vulnerabilities of traditional C or C++. Python developers are increasingly using tools like PyO3 to bridge the two languages, enabling secure, high-performance modules for tasks like cryptography and data processing.

This trend reflects Rust’s broader admiration in the developer community. Stack Overflow’s survey from 2023, still referenced in 2025 discussions, named Rust the “most admired” language, with 86.7% of users wanting to continue with it—a sentiment echoed in recent X posts, including one from David Tolnay in 2022 that highlighted its growing adoption. For Python ecosystems, this means more reliable packages, as seen in projects like cryptography libraries where Rust mitigates common exploits.

Implications for Future Development Strategies

Looking ahead, these preferences signal a maturing Python community focused on interoperability. The survey predicts that by 2026, AI agents could handle 40% of routine coding, freeing developers for innovation, per JetBrains’ projections. Meanwhile, Rust’s integration is poised to enhance Python’s performance in AI and web domains, potentially reducing bugs by 30% in critical packages.

Industry insiders suggest that organizations should invest in training for these tools to stay competitive. As one X post from Gokan on August 20, 2025, noted, Python will remain the interface for AI developers, with Rust powering the backend. This blend of technologies, as synthesized from the Python Developers Survey and supporting reports, points to a future where efficiency and security drive Python’s enduring relevance.

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