Normalized Distance from Main Sequence (D) identifies structurally poor code by measuring how far components deviate from the ideal balance of abstractness and stability—making it the single best metric for detecting AI-generated code that compiles but rots.
by neal-ford
MCP enables enterprise architects to express architectural intent without implementation details, solving the brittleness problem that has plagued fitness function governance at scale.
by mario-bittencourt
Business logic belongs in pure functions (functional core) while infrastructure concerns like databases and UIs live in the imperative shell—and the core must never call the shell.
by thariq-shihipar
Bash is the most powerful agent tool. The Claude Agent SDK packages Claude Code's battle-tested patterns—tools, file system, skills, sandboxing—for building coding and non-coding agents alike.
by philipp-schmid
As AI models converge in benchmark performance, the infrastructure managing them—Agent Harnesses—becomes the competitive differentiator for building reliable, multi-day workflows.
by gergely-orosz, martin-fowler
Martin Fowler argues AI represents the biggest shift in software engineering since assembly to high-level languages—not because of abstraction level, but because we now work with non-deterministic systems.
by martin-kleppmann
Martin Kleppmann traces local-first from CRDTs to a proposed definition: software where another computer's availability never blocks the user—including when the developer shuts down.
by neal-ford, rebecca-parsons, patrick-kua
A framework for designing software architectures that evolve over time, using fitness functions to protect important characteristics while enabling incremental change.
by neal-ford
Evolutionary architecture supports guided incremental change through fitness functions—automated tests that validate architecture characteristics like performance, security, and structural integrity.
by humanlayer-team
A manifesto for building production-grade LLM agents, arguing that effective agents combine mostly deterministic software with strategic LLM decision-making rather than naive 'loop until solved' patterns.
by marc-olivier-fleury
Architecture fitness functions transform vague architectural principles into daily metrics, enabling organizations to track and drive large-scale migration from legacy systems to Self-Contained Systems through measurable, automated governance.