Signalbox: Structural Trust for AI Development Workflows
Signalbox rebuilds the TRIP development loop as Emergent event topologies. Its gates, validators, and barriers make workflow trust a property of structure instead of prompts.
Observations on how systems coordinate, why constraints shape behavior, and what makes APIs feel right.
Signalbox rebuilds the TRIP development loop as Emergent event topologies. Its gates, validators, and barriers make workflow trust a property of structure instead of prompts.
Resemblance is the weakest place a copying case can start. What separates real copying from coincidence—and how generative AI changes the analysis.
A 1998 pattern called Adaptive Object Model was overengineering when humans owned the schema. Agents iterate too fast for that. Here is what stops SchemaForge from becoming stringly-typed chaos.
Most accounting software was designed before AI could do the bookkeeping. That assumption is now a bug.
Constrain each component to one of three roles (Source, Handler, Sink) and complex coordinated behavior emerges without orchestrators, brokers, or coordination protocols.
Why agent systems break when you change URLs, and how separating names from addresses solves it.
What Roblox chat restrictions teach about designing constraints that guide rather than block.
How borrowing distributed systems patterns from Erlang creates maintainable, efficient terminal applications with independently managed regions.
What happens when you stop designing coordination and start constraining it? A research exploration of stigmergic coordination for LLM agents.
A case study in how a programming language's type system can guide developers toward correct usage, and why that matters for security libraries.
The design philosophy behind acton-reactive: how intentional API constraints eliminate entire error classes at compile time.