How can teams make coding-agent output reliable… | r*cap

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Research questionHow can teams make coding-agent output reliable enough for production?Getting code to run is only part of delivering working software. Teams also have to check requirements, catch plausible but incorrect outputs, and manage review and operating costs.

Alignment & Safety

Code Generation & Program Synthesis

Evaluation & Benchmarks

Information Retrieval

Retrieval-Augmented Generation

Latest papersRecent research connected to this question, newest first.Harmless Yet Harmful: Neutral Prompting Attacks for Stealthy Hallucination Steering in Agent SkillsThe paper evaluates neutral prompting attacks across multiple coding-oriented LLMs and package-hallucination benchmarks. It reports changes in hallucination and pip-install attack success rates, hallucinated-name distributions, and the effectiveness of static-analysis, LLM-based, and agent-based Skill defenses.research paper · Sep 4, 2026 Building a research-software catalog with a coding agent: from hackathon prototype to public deploymentThe source examines adversarial review, data-quality checks, browser-level validation, and publication safeguards for a prototype catalog, then explores a retrieval agent for the MateriApps portal. The portal work is preliminary and under development, so the evidence does not establish mature deployment performance or broad generality.research paper · Sep 4, 2026 Beyond Code Generation: Reliability, Verification, and Cost Economics in the Agentic Software Development LifecycleThe source synthesizes research, benchmark audits, production reports, developer telemetry, and cost-management evidence about agentic coding systems; it does not present a new model experiment. Its conclusions and numerical claims depend on the underlying studies, largely released from 2024 through September 2026, and may not transfer to other organizations or agent configurations.research paper · Sep 4, 2026 $τ^τ$-Bench: An Environment for End-To-End, Realistic Agent ConstructionThe source introduces ττ-Bench, where a developer agent receives business records, client requirements, a production API, inherited code, and model or serving constraints before delivering a customer-service agent. Evaluation uses held-out simulated users, so the evidence is limited to the benchmark’s simulated engagements, domains, interfaces, and resource conditions.research paper · Sep 4, 2026

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