Mure, L. (2026)
Hierarchical Adaptive Recursive Language Models
A design study of parallel scheduling, adaptive routing, hierarchical memory, and information-weighted token budgeting for recursive language model systems.
Applied AI in Autonomous Systems
Research question
I study the architectures, control loops, and engineering practices that turn capable agents into dependable systems for real organizations.

Selected research
Work at the intersection of research argument, open-source implementation, and production engineering.
Mure, L. (2026)
A design study of parallel scheduling, adaptive routing, hierarchical memory, and information-weighted token budgeting for recursive language model systems.
A provider-agnostic framework for autonomous software delivery, built around 41 specialized agent types, 8 swarms, and the Reason, Act, Reflect, Verify control cycle.
Examine the systemEngineering method
The method is simple by design. Each phase makes the next decision more legible and the final claim more defensible.
Define the problem, constraints, evidence, and a falsifiable standard for success.
Move from argument to implementation through the smallest useful experimental loop.
Inspect outputs and assumptions with the same care given to the original idea.
Make claims observable through tests, artifacts, and reproducible behavior.
Recent writing
Notes on autonomous agents, platform engineering, technical leadership, and the institutional consequences of software.
One project has 105,637 stars. The other has 956. A 110x star gap does not reflect a 110x quality gap. A head-to-head between gstack and Loki Mode, with tests run in both repos.
An AI agent hijacked GPUs to mine crypto without being told to. Vibe-coded apps ship with 2.7x more security holes. We are building autonomous systems faster than we can govern them.
Launching a newsletter focused on AI agents, open source tooling, and the craft of building autonomous systems
A walkthrough of every public project I maintain and how they form a connected system for AI-powered software engineering
The open source AI ecosystem is no longer chasing proprietary models; it is building the infrastructure layer that proprietary systems depend on