arXiv (All)
open access
Agents as Software: A Programming Languages Agenda for Agent Reliability
AI agents increasingly resemble software systems: they call tools, remember facts, follow policies, delegate work, and take actions with real consequences. % Yet the ``program'' of an agent is scattered across prompts, tools, memories, workflows, and execution traces, making its behavior difficult t
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ACEM: A Cost Estimation Model for Agentic Software Engineering#424031
- Skill-as-API: Confidential Multi-Agent Coordination for Agentic Software Engineering#822112
- The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products#282885
- An AI Agent Execution Environment to Safeguard User Data#1070809
- The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoption#673603
Record · ID 1116529
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive