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Inspiration
While building complex software with modern AI coding agents, I noticed a recurring problem. Even the best single agent would stall on long-horizon reasoning, subtle trade-offs, or ambiguous design decisions. In real engineering teams, these challenges are solved by senior engineers debating, reviewing, and challenging each other’s work. That dynamic was missing in agentic workflows.
I asked: what if multiple AI coding agents could disagree productively? Synod was born from this idea. It is a system where agents reason together adversarially to synthesize better solutions than any single model could produce.
What it does
Synod is a collective intelligence system for coding workflows.
Instead of relying on a single model, Synod:
- Spawns multiple AI agents, each with a specific role such as implementer, reviewer, or skeptic
- Orchestrates adversarial debates among them over proposed solutions
- Synthesizes the debated outputs into a final high-quality solution
This mirrors how senior engineering teams work, but programmatically and continuously, with infinite memory and context. Gemini 3 reasoning and low-latency capabilities make this real-time collaborative orchestration possible.
How we built it
Synod uses Gemini 3 as the core reasoning engine for each agent.
- Each agent runs independently, maintaining its own Gemini 3 session
- Structured prompts define roles and ensure debates are productive
- Agents iteratively critique each other, producing a richer solution than any single agent
- Persistent memory is maintained across turns, allowing agents to reference previous discussions
The synthesis step selects the best output (S) from all proposals (A) based on iterative critique:
[ S = \arg\max_{a_i \in A} \; \mathbb{E}[\text{Quality}(a_i) \mid \text{Critique}(A \setminus a_i)] ]
Challenges we ran into
- Preventing debate loops without collapsing discussions prematurely
- Maintaining coherent long-term memory across multiple agents
- Designing prompts that encourage constructive disagreement
- Balancing latency with iterative agent reasoning to keep workflows smooth
Accomplishments that we're proud of
- Built a fully functioning multi-agent coding orchestration system
- Demonstrated that adversarial reasoning produces better solutions than single-agent approaches
- Open-sourced the CLI under MIT license, allowing other developers to use and extend Synod
- Successfully integrated Gemini 3’s reasoning, long context, and low-latency features into a practical workflow
What we learned
- Better solutions come from structured disagreement rather than alignment
- The orchestration layer matters more than raw model capability
- Long-term memory and multi-turn reasoning are critical to agent collaboration
What's next for Synod
- Expand to more agents and roles for richer problem-solving
- Integrate multi-modal reasoning such as diagrams and code execution traces
- Build an open platform for community contributions using the MIT-licensed CLI
- Explore applications beyond code for scientific analysis, product design, and complex decision-making
Gemini 3 Integration Summary
Synod leverages Gemini 3 as the backbone of its multi-agent reasoning architecture. Each coding agent in Synod runs as an independent Gemini 3 instance, enabling real-time adversarial debate over complex programming tasks. Gemini 3 reasoning allows agents to challenge assumptions, critique proposed solutions, and collaboratively synthesize high-quality outputs, replicating how senior engineering teams review each other’s work.
Agents are assigned structured roles and maintain long-term context to support iterative debate. Low-latency responses enable real-time interaction, keeping developer workflows smooth and responsive.
The synthesis step mathematically selects a final solution (S) from all agent proposals (A) based on iterative critique:
[ S = \arg\max_{a_i \in A} \; \mathbb{E}[\text{Quality}(a_i) \mid \text{Critique}(A \setminus a_i)] ]
This approach transforms Gemini 3 capabilities into collective intelligence, letting multiple agents achieve higher reasoning quality than any single model alone. Gemini 3 is the enabler of Synod’s adversarial orchestration, making multi-agent coordination feasible in practice.
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