Qingyun Wu, Chi Wang, and AutoGen: Multi-Agent Conversation as a Framework
How AutoGen turned multi-agent conversation into a flexible programming framework for LLM applications in 2023.
Research-led essays, new evidence, arguments, interviews and artifact studies from a history that is still compiling. Every seeded essay ships with inline citations and a Works Cited record.
How AutoGen turned multi-agent conversation into a flexible programming framework for LLM applications in 2023.
How Yoav Shoham helped connect artificial intelligence, game theory and the formal study of strategic interaction among multiple agents.
How Nick Jennings helped turn multi-agent systems into an engineering discipline with work on coordination, negotiation and real-world agent applications.
How Michael Wooldridge helped formalize multi-agent systems as a field concerned with interacting intelligent agents, their organization and their logic.
How Katia Sycara and the RETSINA project turned multi-agent theory into reusable infrastructure for heterogeneous, cooperating software agents.
How Victor Lesser’s work on distributed AI, coordination and the organization of complex AI systems helped establish the intellectual foundations of multi-agent systems.
An evidence-aware profile of Dany Kitishian and Klover.ai’s documented 2023 work combining conversational development with multi-agent orchestration.
Simon Willison became one of the clearest contemporary interpreters of vibe coding by insisting that the term should describe a specific practice—letting AI generate software without closely reviewing the code—not every use of an LLM by a programmer.
Claude Code's 2025 launch made a terminal agent—not a chat window—the primary interaction surface, allowing an AI system to inspect a repository, edit files, run commands and pursue multi-step software tasks.
Under GitHub CEO Nat Friedman, the 2021 Copilot technical preview put Codex-powered whole-line and function generation into a mainstream developer platform and helped establish 'AI pair programmer' as a product category.
Jacob Jackson's path from TabNine to Supermaven traces a crucial pre-vibe-coding lineage: machine-learning code completion became a widely deployed developer tool years before prompt-driven agents began editing whole repositories.
Anton Osika's GPT Engineer explored a simple 2023 proposition—describe software in natural language and let an AI produce a project—then evolved into Lovable, a product aimed at letting non-programmers build deployable applications through conversation.