Agent-first software engineering, orchestration, and failure-aware systems.
Research
View all →Notes
View all →AI-Native Engineering: From Autocomplete to Agent Orchestration
Exploring the shift from AI-augmented to AI-native engineering, the context stack, and the systemic verification crisis.
Authority-First Agent Architecture
Decoupling permission logic from reasoning loops to build safer, more predictable agentic systems.
Failure-Oriented Agent Orchestration
A governance-first approach to agent orchestration prioritizing predictability, containment, and recoverability over raw productivity.
Earned Agent Autonomy: A Governance Model for AI Systems
A risk-mitigated governance framework for integrating AI agents into production software engineering workflows through a staged autonomy ladder.
Agent Execution Contracts: Unifying Specification, Testing, and Labor
How specifications, tests, and agents collapse into a single machine-readable contract that governs autonomous labor.
Agent-First Software Engineering
A practical description of an agent-first workflow where engineering shifts from typing code to designing boundaries.
Typing Code Is Solved
Why the bottleneck in software engineering is no longer typing code, but context and judgment.
About
I’m Max, a software engineer focused on data-intensive systems, cloud platforms, and agent-assisted development. I work on problems where scale, constraints, and decision-making matter more than code volume. Increasingly, my focus is on how humans and AI agents collaborate: humans define intent and boundaries; agents execute within them. This site is where I publish technical notes, essays, and experiments on software engineering, systems thinking, and applied AI—written to clarify thinking, not to chase trends.
Contact
Interested in collaborating? Email at hello@rmax.ai.