•6 min read
From Beta to v1: The Contract Invariant Must Earn
What Invariant already guarantees in Beta, what still blocks v1, and the evidence required before the project can make a stable compatibility promise.
InvariantBeta
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Technical Blog & Architecture
Infrastructure, not just prompts.
In-depth engineering notes on building reliable AI agents: durable memory, deterministic runtimes, event sourcing, and execution authority.
Topics:#Invariant#Beta#Roadmap#Durable Execution#Release Engineering#AI Agents#Control Plane#Architecture#Systems Engineering#Production#Infrastructure#Memory#Event Sourcing#Runtime#Source Available#ELv2#Licensing#Philosophy
★ Featured Article
•6 min read•Reliable Agent Architecture
Why AI Should Propose, Not Execute
Why the fundamental missing boundary in production AI is not orchestration syntax, but the structural separation between probabilistic reasoning and authoritative execution.
J
José Vásquez
Founder & Lead Engineer @ Invariant
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Recent Articles
•4 min readPart 3
Agent Frameworks Aren't Enough for Production Execution
Prompt chains, graph wrappers, and simple while loops solve orchestration syntax, but fail at real-world systems engineering.
AI AgentsArchitecture
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•3 min readPart 1
Context Is Not Memory: Why Durable Agent Memory Must Be Infrastructure
LLMs reason over working context, but durable memory, idempotency, and state persistence belong in deterministic infrastructure.
AI AgentsMemory
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•4 min readPart 2
Why Agents Need a Deterministic Runtime
Probabilistic models are great for reasoning, but terrible at execution. Here is why infrastructure must enforce the execution boundary.
AI AgentsRuntime
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•9 min read
Why I Chose ELv2 — and What It Means for Invariant
Building software for models, the reality of independent engineering, and why Elastic License 2.0 (ELv2) provides the right balance for Invariant.
Source AvailableELv2
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