Bug Tracking for Colony Sim Games

Colony sims simulate many autonomous agents, colonists, pawns, settlers, each with needs, jobs, an AI that decides what to do, moving through a shared world. The genre magic is emergence: the agents autonomous behavior produces unscripted stories. The bugs are emergent too: an agent whose AI makes a broken decision, a task-scheduling failure, a needs system that breaks, and because the agents interact, one agent broken behavior can cascade into a colony-wide failure. These bugs depend on the colony state and the agent AI, which is what you must capture. Tracking colony sim bugs means capturing that colony-state-and-agent context.

Autonomous agents produce emergent bugs

A colony sim defining feature is many autonomous agents, each running an AI that decides their behavior based on needs, jobs, and the world state. This autonomy produces emergence, the unscripted, surprising behavior and stories that define the genre, and it produces emergent bugs: an agent whose AI makes a nonsensical decision, a pawn stuck in a behavior loop, a task that an agent handles wrong. Because the behavior is emergent, these bugs arise from the AI interacting with a specific situation you did not script.

Worse, the agents interact, so one agent broken behavior can cascade: a pawn who stops working causes a resource shortage that affects others, a single AI failure ripples through the colony. This cascading emergence makes colony sim bugs hard to trace, since a colony-wide symptom may originate in one agent broken decision. Tracking these bugs means capturing the colony state and the agent AI behavior, so you can find the originating agent decision and the situation that triggered it.

Capture the colony state

The essential context for a colony sim bug is the colony state, ideally the save, which captures the entire colony, the agents and their states, the world, the resources, the jobs, since the bug emerged from this specific colony situation. With the save, you can load the exact colony the player had and reproduce the emergent bug, which is the only way to recreate a complex colony state that arose from a long, emergent playthrough.

Colony sim saves encode a detailed, dynamic colony, so capture enough to reproduce, ideally the save itself. As with other simulation genres, the colony state is the complete situation the bug emerged from, and loading it lets you watch the simulation continue, observing the emergent bug develop. The captured colony state is what transforms an unreproducible report about colony chaos into a situation you can load and watch, which is essential for a genre where bugs emerge from a specific dynamic state.

Capture the agent behavior and AI state

Because colony sim bugs often originate in an agent AI, capture the behavior and AI state of the relevant agents when a bug is reported: what the agent was doing, what their AI decided, their needs and job state, and why they were in that behavior. When a player reports an agent behaving absurdly, this AI state reveals what decision the AI made and the inputs that led to it.

A report that a pawn was stuck or did something nonsensical becomes diagnosable when you can see the agent AI state, the decision it made, the needs and situation that drove it, revealing the flaw in the AI decision logic. Agent AI bugs are about the AI making a wrong choice in a specific situation, and capturing the AI state and the situation lets you reproduce the decision. The agent behavior and AI state captures the autonomous decision-making where colony sim emergent bugs originate.

Trace cascades to the originating agent

Because one agent broken behavior cascades, a colony sim bug report often describes a colony-wide symptom, the colony is collapsing, everyone is unhappy, work is not getting done, that is downstream of a single originating agent decision. To trace it, capture not just the symptom state but enough of the agent behaviors to find the origin, the one agent whose broken AI started the cascade.

With the colony state and agent AI states captured, you can work backward from the colony-wide symptom to the agent or system that started it, much as you trace a compounding bug in a management sim. The captured agent behaviors let you see which agent acted wrongly first and triggered the ripple, isolating the root cause from the colony-wide effects. Tracing cascades to the originating agent is the key skill for colony sim debugging, and the captured colony-and-agent state is what makes it possible.

Setting it up with Bugnet

Add an in-game report option and attach the colony state or save, the agent behavior and AI states, and the systems involved as a serialized blob and custom fields. Bugnet stores them so a colony sim bug arrives with the colony-state-and-agent context needed to load the colony, trace a cascade to its originating agent, and reproduce an emergent agent-behavior bug at the situation it occurred.

Enable automatic crash capture and group identical issues into occurrence counts, watching whether bugs cluster around particular agent situations or AI decisions, which would point at a flaw in that decision logic. Because colony sim bugs are emergent, originating in autonomous agent AI and cascading through the colony, the captured save and agent state is what transforms an unreproducible colony-chaos report into a loadable situation, letting you find the originating agent decision and fix the AI flaw at the root of the cascade.

Build a colony-replay regression suite

Colony sims, as simulations driven by colony state, suit save-replay regression testing, though their emergence adds nuance. Each captured problematic colony becomes a test: load it, run the simulation, and assert the agents behave sensibly and no cascade develops. A fix to an AI decision can be verified against the exact colony situation that triggered the broken behavior, confirming the agent now acts correctly.

This testing is valuable because colony sim AI and systems are interconnected and a change to one agent behavior or system can produce new emergent problems elsewhere, in colony situations you did not anticipate. Running your library of captured colonies after every change catches these regressions, and because the originating situations are captured, you can verify the specific broken behaviors stay fixed. Over time the library becomes a collection of the emergent situations your players colonies have produced, providing AI-behavior coverage that a colony sim needs to keep its autonomous agents behaving sensibly as the simulation grows in depth.

Colony sim bugs emerge from one agent's broken AI and cascade. Capture the colony and the agents to find the origin.