Engineering Reliability into AI Agent Code Generation. Part III
Part III — Teams of Agents, a Post-Mortem, and the Frontier Part I defined eight failure modes of agent code generation (P1–P8) and drew the architecture's one load-bearing boundary: models generate and evaluate; deterministic code decides. Part II opened each component — the deterministic guards, the evidence model, context engineering, adversarial evaluation, the connector contract,…
Part III of this report delves into the complexities of creating a team of AI agents working in tandem. It explores the challenges that arise when multiple agents operate concurrently, highlighting the importance of coordination and the pitfalls of attempting to give them human-like communication channels and negotiation abilities.
The post-mortem of a production false green, where a team of agents produced identical results due to correlated error patterns, underscores the need for a different approach. The report concludes with a seven-rung adoption ladder for implementing such a system incrementally, addressing the limitations and unsolved issues surrounding team-based AI agent code generation.
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