AI & ML
Take It From Here: Evaluating Coding Agents On Project Takeover
arXiv cs.SE0 views
arXiv:2611.07307v1 Announce Type: new Abstract: Coding agents increasingly collaborate on long-term projects. When taking over a project, they need to recover currently applicable requirements from the interaction history and update them in response to new requests. However, most coding benchmarks do not include long interaction histories, and some evaluations that consider history still do not cover the full process from requirement reconstruction to project delivery. We therefore provide agents with the interaction history, current request, and pre-request project environment, ask them to make the requested changes, and assess takeover performance through delivery tests. Across six model-harness configurations and 37 targets eligible for executable validation, the mean complete-delivery rate under Full History is only 4.95%. We then use requirement atoms to independently diagnose a larger set of takeover targets, examining relevant information identification, pre-request state reconstruction, and current request processing. We further supply correct pre-request or target states to examine the remaining difficulties in requirement processing and project modification. The diagnostics show that none of the six configurations produces fully correct post-request requirement states, and a case illustrates omission of previously recovered constraints during updating. With correct target states supplied, the mean complete-delivery rate is 8.11%, with build and regression pass rates of 96.40% and 90.99%, but target-test success remains 9.01%. These results show difficulties in both forming target requirement states and implementing supplied targets in existing projects. Based on these findings, we introduce ReqMemBench, which combines requirement diagnostics with delivery validation to support systematic evaluation of project takeover.
Source:https://arxiv.org/abs/2611.07307PreviousHow Should Agents See Code? Rethinking Code Representations for Agentic Software EngineeringNextReq2Rust: A Requirements-Guided Agent Harness for Project-Level C++-to-Rust Migration
Related posts
Tesla unveils SI accelerator roadmap - SI6 targets 80x compute of AI4
0dev.to AI
Why the PII check runs before a prompt goes public
0dev.to Security
Private AI for a family office is six layers, not a chatbot
0dev.to Security
Daily Dose of DevOps — OpenTelemetry: without excessive logging overhead
0dev.to DevOps

Sources: Nvidia is requiring Southeast Asian customers seeking Nvidia Cloud Partner status to enroll in a program that tracks the locations of their AI chips (Mackenzie Hawkins/Bloomberg)
0Techmeme

Preliminary findings: the EU says TikTok violated the DSA by not preventing its recommendation algorithm from trapping users in harmful content "rabbit holes" (Alexander Martin/The Record)
0Techmeme