LongTermSoftware.com

Engineering Manifesto

The LongTermSoftware engineering principles for zero-regression modernization, human-reviewed AI, source-bound evidence, and conservative public claims.

Engineering manifesto

The operating principles behind the service ladder

These principles keep the service model practical, evidence-led, and bounded.

Do not rewrite what you have not measured

Modernization starts with behavior inventory, parity risks, service seams, and rollback criteria.

Make AI reviewable before it becomes operational

AI drafts are not approved work. The system needs reviewers, acceptance states, fallback rules, and blocked-action logs.

Use the smallest credible first move

Start with assessment or blueprint scope before expanding into implementation, app MVPs, RAG foundations, or retainers.

Expose proof in human and machine-readable forms

Technical buyers, executives, AI agents, and procurement tools need different representations of the same bounded evidence.

Do not widen claims beyond evidence

Public pages do not claim AGI, consciousness, certification, formal vendor partnership, or autonomous production authority.

Next step

Start with a short fit call, then scope the assessment.

The first conversation should decide whether the next step is a fixed-scope assessment, modernization blueprint, governed AI pilot, or reliability review.

Book a 20-minute fit call