Discover AI Productivity Tools Adoption in Software Engineering Statistics with key data, and trends shaping developer productivity.

Nuro has begun testing autonomous vehicle tech on Tokyo streets, putting its zero-shot autonomy claims and global expansion strategy under the spotlight.

Testing is where Thailand's AI adoption often pays off quickly, because it reduces waiting. AI can draft unit tests from code, suggest regression ...

Researchers have found that LLM-driven bug finding is not a drop-in replacement for mature static analysis pipelines. Studies comparing AI coding agents to human developers show that while AI can be ...

Abstract: Fault localization remains a vital yet resource-intensive task, particularly within software evolution, where swift and accurate fault localization is crucial. Whereas substantial research ...

Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.

Abstract: In the software development life cycle, ensuring high-quality and reliable software is crucial for developers. Unreliable software can result in customer loss, decreased revenue, and ...

Most developers don’t wake up and say “I choose OpenJDK 11 because it’s my comfort runtime.” Let’s be real. If you’re still on 11 in 2025, it’s usually not because you want to be. It’s because ...

Although Mojang has not provided a precise timeline for transitioning Minecraft to Vulkan, players and modders can begin testing the new renderer in Java Edition in ...

OpenAI introduces Harness Engineering, an AI-driven methodology where Codex agents generate, test, and deploy a million-line production system. The platform integrates observability, architectural ...

According to Precedence Research, the global software market size accounted for USD 823.92 billion in 2025 and is predicted to reach around USD 2.47 trillion by 2035, expanding at a healthy CAGR of 11 ...