Equation 2 · Part 1 · Agentic Coding Tools in 2035: Four Scenarios, Their Signals, and What Would Falsify Them
Symbol mu
What this part means
the what raises.
Its job in the formula
mu is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Full expression→Symbol mu→Article meaning
Where the article explains it
What raises is the less obvious half, and it is exactly where the two axes touch: if evidence generated under one tool’s verification pass has to be regenerated from scratch every time a change crosses a tool or organizational boundary, the effective available at any single gate is lower than the organization’s raw checking capacity, because part of that capacity is spent re-proving what was already proven elsewhere.
The passage around this formula
The two axes are not independent, and the coupling matters more than either axis alone. Picture agent-produced candidate changes arriving at an organization’s review-and-merge gate at rate , while the organization’s verification stage — tests, evaluators, human reviewers — disposes of them at rate . Treated as a simple queue, it is stable only while
Learn the underlying idea
A variable is a named place for a value. Its letter is a local label: x can mean position in one formula and a data point in another.
Open the illustrated variables: a letter stands for a value guide →
See this notation across published equations →
Sources cited in the article section
- [12] "The Maintainability Gap: AI Code Quality in 2026" ↗
- [3] Best Practices for Claude Code ↗
- [15] SLSA Specification Version 1.2 ↗
These citations provide research context; check each source for the exact claim it supports.