Now that AIware 2025 has wrapped up, we want share our appreciation to everyone who participated this year: the speakers, presenters, organizers, and all attendees, It has been inspiring to see the ideas shared and connections made. See you in Canada next year! 🍁

Some snapshots from the paper presentation sessions at AIware 2025! 🤖 This year, we hosted 7 paper sessions, each diving into emerging areas of AI in SE. A huge thank you to all the presenters for being a big part of AIware 🙌

Grateful for our amazing program and organizing committee members who are helping shape AIware 2025! 🌸 #AIware #AI #SoftwareEngineering #ASE2025

AIware 2025 is happening now! If you are at #ASE2025, join us in Grand Hall 1 ✨ 💡 In the opening, we highlighted the diversity of the research we received from academia and industry across many countries.

(3/3) Previously, Dickson worked as a pre-training data research engineer at Anthropic and as a growth engineer on Google Search. He has presented on AI coding agents at various Fortune 500 companies.

(2/3) His other contributions include the SlashCommand tool for Claude to invoke custom commands, Opus Plan Mode to balance complex task planning and costs, and Claude 4 model integration.

(1/3) Tsai is a product engineer at Anthropic. He works on Claude Code, a terminal-native agentic AI assistant. He pioneered "hooks," a feature that allows extending Claude Code's agent loop with scripts to provide automated feedback, manage permissions dynamically, and more.

✨ We welcome Dickson Tsai (@dickson_tsai) as a keynote speaker in AIware 2025! ✨ (Bio in thread)

(3/3) Her research won the FSE 2025 distinguished paper award, the 2024 and 2022 TSE Best Paper award and ICLR 2022 spotlight paper award. She also won the 2025 ACM Sigsoft Early Research Award, one of the most prestigious honours for early-career researchers in the SE community.

(2/3) Over the last three years, she has been invited to give over 40 talks at conferences, universities, and IT companies. In recognition of her influence, she was named one of the Top 15 Global Chinese Female Young Scholars in Interdisciplinary AI (2023).

(1/3) Dr. Jie M. Zhang is a lecturer of computer science at King’s College London. Her main research interests are the trustworthiness of software engineering, AI, and LLMs. She is a steering committee member of conferences IEEE ICST and ACM AIware.

✨ We welcome Jie Zhang (@JieMarinaZhang) as a keynote speaker in AIware 2025! ✨ (Bio in thread) #AIware2025 #ASE2025 #SoftwareEngineering #AI

(2/2) His work concerns various generative AI research and deployment initiatives that are associated with the software development lifecycle, with an interest in architectural design and knowledge management. In 2019, he was awarded the Christopher Mills Award by the ITP.

(1/2) Jack Johns is a research scientist from BT's Software and AI Lab, investigating the future of software engineering and how the business should evolve in the next 5-10 years to stay ahead of the curve.

✨ We welcome Jack Johns as a keynote speaker in AIware 2025! ✨ (Bio in thread) 🔗 More information: https://t.co/lxAFrJ8LRG

Syme is a Principal Researcher at GitHub Next specialising in AI-driven collaborative programming systems. Co-created GitHub Agentic Workflows and Copilot Workspace and designed the F# language. In 2015, he was honored with a Silver Medal from the Royal Academy of Engineering.

✨ We welcome Don Syme as a keynote speaker in AIware 2025! ✨ (Bio in thread) 🔗 More information: https://t.co/lxAFrJ8LRG

Chao is a Principal Research Scientist at ByteDance where he leads the Software Engineering Lab and conduct research on AI agents for SE. His research interest lies in the area of software testing, program repair and optimisations, and the synergy with ML and compiler techniques.

✨ We welcome Chao Peng (@chao_peng_) as a keynote speaker in AIware 2025!✨ (Bio in thread)

Baptiste leads the code generation team at @MistralAI. He was a research scientist at Meta AI working on Code Generation. He contributed to Llama and led CodeLlama. During his PhD, he did research on unsupervised translation of programming languages and code model pre-training.