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Agentic AI Software Engineers: Programming with Trust

Abhik Roychoudhury et al.

Communications of the ACM2026https://doi.org/10.1145/3769314article
AJG 2
Weight
0.50

What the paper says

How LLM agents present AI software engineering workflows of the future, and whether the focus of programming will shift from scale to trust.

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Cite this paper

https://doi.org/https://doi.org/10.1145/3769314

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@article{abhik2026,
  title        = {{Agentic AI Software Engineers: Programming with Trust}},
  author       = {Abhik Roychoudhury et al.},
  journal      = {Communications of the ACM},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1145/3769314},
}

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Agentic AI Software Engineers: Programming with Trust

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.