Disposable Implementations: What Is Software Engineering For?

Existing implementations are usually maintained for most of their life and replaced only as an exception. Coding agents may change that. If agents can produce new implementations from requirements, tests, architectural constraints, and operational records that survive replacement, changing a system may no longer require modifying its existing codebase. We call this process regeneration. An implementation is disposable when regeneration becomes a routine alternative to maintenance. Regenerating and verifying a clean implementation from current requirements and tests may be cheaper than having agents navigate (and potentially compound) existing technical debt, and could eliminate much of that debt. Yet existing code may contain knowledge absent from the preserved artifacts, including safeguards introduced after failures and assumptions that were never documented. A regenerated implementation may pass the available tests and still lose behavior that matters in production. This leaves open how to establish continuity across replacements and whether regeneration reduces maintenance effort or shifts it to the artifacts and processes that support it. We examine these questions through an exploratory review of practitioner literature. Published examples show that agents can replace existing implementations, but do not establish that repeated regeneration is safe or economical. If implementations become disposable, what should software engineering preserve?

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-11-03
DOI
https://doi.org/10.48550/arxiv.2611.04383
Primary Topic
Software Engineering Research
Type
preprint
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preprint

Disposable Implementations: What Is Software Engineering For?

Christoph Treude
arXiv (Cornell University)
Software Engineering Research
preprint

Disposable Implementations: What Is Software Engineering For?

Christoph Treude
preprint en

Abstract

Existing implementations are usually maintained for most of their life and replaced only as an exception. Coding agents may change that. If agents can produce new implementations from requirements, tests, architectural constraints, and operational records that survive replacement, changing a system may no longer require modifying its existing codebase. We call this process regeneration. An implementation is disposable when regeneration becomes a routine alternative to maintenance. Regenerating and verifying a clean implementation from current requirements and tests may be cheaper than having agents navigate (and potentially compound) existing technical debt, and could eliminate much of that debt. Yet existing code may contain knowledge absent from the preserved artifacts, including safeguards introduced after failures and assumptions that were never documented. A regenerated implementation may pass the available tests and still lose behavior that matters in production. This leaves open how to establish continuity across replacements and whether regeneration reduces maintenance effort or shifts it to the artifacts and processes that support it. We examine these questions through an exploratory review of practitioner literature. Published examples show that agents can replace existing implementations, but do not establish that repeated regeneration is safe or economical. If implementations become disposable, what should software engineering preserve?

arXiv (Cornell University)
Software Engineering Research
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Disposable Implementations: What Is Software Engineering For? — Christoph Treude · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS