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The End of Software Engineering: How AI Agents Are Fundamentally Restructuring the Software Paradigm
arXiv:2606.05608v1 Announce Type: new Abstract: For over half a century, software engineering has operated on a foundational premise: human engineers decompose problems, encode decision logic into static code, and manually adapt that code as requirements evolve. This paper argues that the emergence of AI agents -- systems where large language models serve as the primary reasoning engine, dynamically generating and discarding code as an instrumental resource -- constitutes not an incremental...
Analysis:Software stocks bounce back - now comes the hard part
Analysis:Software stocks bounce back - now comes the hard part June 3 : Software stocks have rebounded from a punishing selloff as investors are betting that AI may boost the sector rather than leaving it for dead. The iShares Expanded Tech-Software Sector ETF has surged nearly 42 per cent from its April low, turning fears that AI would rip the heart out of the industry into hopes that software firms will enlist AI as a valuable ally. The software ETF is down under 2 per cent for 2026 after...
Neural Change Prediction: Relating Software Changes to Their Effects and Vice Versa
Announce Type: new Abstract: Much of software development revolves around understanding the relationship between software changes and their effects. If we could learn and predict those relationships, such predictions could benefit several areas of software engineering. While recent advances in artificial intelligence have shown great promise in software engineering tasks, predicting the semantics of code without executing it remains a big challenge.
Software stocks wrap up best month since 2001 as talk of 'SaaSpocalypse' subsides
The article discusses the performance of software stocks, which had their best month since 2001. Snowflake and Okta, two prominent software companies, experienced significant stock increases due to their AI software strategies. The article highlights the positive sentiment towards these companies and their potential for growth in the software industry.
Private credit lenders say their big software bet faces an AI reckoning — but not a ‘SaaSpocalypse'
AI is forcing a reckoning for private credit's huge software bet, with prominent investors telling CNBC that the technology will forge winners and losers, rather than wipe it out in the so-called "SaaSpocalypse." Private credit specialists at firms, including Ares and Man Group, told CNBC that AI would force lenders to distinguish between software companies that could adapt and those that would disruption. When concerns around the "SaaSpocalypse," or software apocalypse, emerged earlier this...
Retail investors fuel record buying in US software ETF as AI trade broadens
Retail investors fuel record buying in US software ETF as AI trade broadens June 2 : The largest exchange-traded fund (ETF) tracking U.S. software stocks clocked the biggest single-day buy-in by retail investors on record on Monday, data from Vanda Research showed. Software stocks have largely recovered their losses from earlier this year when fears of industry-wide disruptions due to the rise of AI gripped the sector, though volatility still persists. • Mom-and-pop traders bought stock...
SW-$A^2$-Bench: Benchmarking Autonomous Software Agent Generation for Agentic Web
Announce Type: replace Abstract: The Agentic Web is emerging as a paradigm in which autonomous software agents interact with online resources and with each other to accomplish user goals. However, the capacity of Agentic Web is still limited by insufficient autonomous software agent population, which has become a crucial challenge for scaling Agentic Web. In order to alleviate this, we study the task of automatically converting existing code repositories into autonomous software agents via...
Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering
Computer Science > Software Engineering [Submitted on 20 Jan 2026] Title:Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering View PDF HTML (experimental)Abstract:LLM-based Multi-Agent (LLM-MA) systems are increasingly applied to automate complex software engineering tasks such as requirements engineering, code generation, and testing.
Trustworthy AI Software Engineers
arXiv:2602.06310v2 Announce Type: replace Abstract: With the rapid rise of AI coding agents, the fundamental premise of what it means to be a software engineer is in question. In this vision paper, we examine what it means for an AI agent to be considered a software engineer and then critically think about what makes such an agent trustworthy. Grounded in established definitions of SE (SE) and informed by recent research on agentic AI systems, we conceptualise AI software engineers as...
How Software Engineering Students Use LLMs to Write Research Papers: An Experience Report
arXiv:2606.05114v1 Announce Type: new Abstract: Large language models are increasingly becoming part of software engineering education, including activities involving empirical software engineering and evidence synthesis. This paper reports an educational experience involving the integration of reflective LLM use into an empirical methods assignment in a third-year software architecture course. Students were asked to develop a short research paper using either a rapid review or a gray...