Do not rewrite what you have not measured
Modernization starts with behavior inventory, parity risks, service seams, and rollback criteria.
LongTermSoftware.com
The LongTermSoftware engineering principles for zero-regression modernization, human-reviewed AI, source-bound evidence, and conservative public claims.
Engineering manifesto
These principles keep the service model practical, evidence-led, and bounded.
Modernization starts with behavior inventory, parity risks, service seams, and rollback criteria.
AI drafts are not approved work. The system needs reviewers, acceptance states, fallback rules, and blocked-action logs.
Start with assessment or blueprint scope before expanding into implementation, app MVPs, RAG foundations, or retainers.
Technical buyers, executives, AI agents, and procurement tools need different representations of the same bounded evidence.
Public pages do not claim AGI, consciousness, certification, formal vendor partnership, or autonomous production authority.
Next step
The first conversation should decide whether the next step is a fixed-scope assessment, modernization blueprint, governed AI pilot, or reliability review.
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