Theme · 7 episode(s)

Software Engineering Automation

Definition

Software engineering automation covers the tools and agents that take over parts of the SE workflow — writing code, reviewing diffs, running tests, triaging bugs, drafting PRs. The frontier question is which parts cleanly automate and which stubbornly require human judgment.

Episodes covering this

232
Coding Models Can Find the Bad Line, They Just Won't Delete It
To Add Is Machine, To Delete Is Human: Measuring and Mitigating Deletion Avoidance in LLM Code Editing
Ebrahimi, Hasan, Bhatia et al. · School of Computing·18 min·Aug 03, 2026
169
Why Better Bug Reports Can Make AI Coding Agents Worse
SHERLOC: Structured Diagnostic Localization for Code Repair Agents
Tamoyan, Narenthiran, Arakelyan et al. · NVIDIA / TU Darmstadt·24 min·Jun 24, 2026
126
How Coding Agents Can Mine Their Own Failures Into a Self-Targeting Curriculum
Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills
Xiao, Jiao, Wang et al. · Shanghai Jiao Tong University·21 min·Jun 09, 2026
075
Growing Code and Proof Together: Verified Systems in Ten Hours Instead of a Year
Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems
Agarwal, Krentsel, Liu et al. · UC Berkeley·28 min·May 25, 2026
039
When Smarter Agents Get Fooled by Three Extra Nodes in a Database
Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning
Kereopa-Yorke, Diaz, Wright et al. · Microsoft·31 min·May 12, 2026
012
Why AI Coding Agents Keep Trying to Debug Without a Debugger
Dynamic analysis enhances issue resolution
Liu, Wang, Chen et al. · Sun Yat-sen University·21 min·May 02, 2026
005
Why a Debugger Designed for Humans Is the Wrong Tool for an AI Agent
Empowering Autonomous Debugging Agents with Efficient Dynamic Analysis
Xiang, Xu, Chu et al. · Southern University of Science and Technology·22 min·May 01, 2026

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