AI Coding Agents
Software Maintenance
Runtime upgrades with coding agents
September 24, 2026 - 2 minute read
AI Coding Agents
Software Maintenance
September 24, 2026 - 2 minute read
Runtime upgrades with coding agents can reduce the manual search involved in moving a large codebase to a supported language or framework version. The hard part remains compatibility. A repository may pin the runtime in CI, containers, local tooling, deployment configuration, and generated files, while its dependencies rely on APIs that changed between releases.
The upgrade should begin from an explicit target and a passing baseline. For example, the Node.js project publishes its release and support status, including which lines receive long-term maintenance. That schedule is a better input than a request to “use the latest version.”
Inventory every place that selects or assumes a runtime. Check version managers, container images, workflow files, package metadata, deployment manifests, developer setup guides, and lockfiles. Search for native extensions and build tools because they may support a narrower range than the application itself.
Record the current build, test, lint, and packaging results before changing versions. A failing baseline makes later failures ambiguous. Preserve the exact commands and environment needed to reproduce it.
Factory’s AGENTS.md guidance lets a team store those commands and repository constraints beside the code. A coding agent can use that durable context to update the right version declarations without replacing project-specific steps with generic ones.
Separate mechanical version changes from application repairs when the repository allows it. First update the declared runtime and regenerate the lockfile with the approved package manager. Then run the narrowest failing command and repair one compatibility class at a time.
Compiler errors, removed APIs, changed module resolution, and native build failures need different evidence. Capture the first failure, identify the component that owns it, and confirm the upstream migration guidance before editing. Avoid broad dependency refreshes unless the target runtime requires them. Extra upgrades increase the review surface and make regressions harder to attribute.
For a migration across many repositories, use the same checklist but preserve separate pull requests. Factory Missions can coordinate long-running work while validators check each change. Repository owners still decide the rollout order and merge each result.
Run the full repository gate on the new runtime, then build the same artifact used in deployment. Containerized services should rebuild from a clean base image. Libraries should test their supported version range rather than only the newest interpreter.
Exercise startup, shutdown, background work, network clients, serialization, and any native modules. These paths can fail after compilation succeeds. Compare logs and warnings with the baseline, and treat new deprecation messages as follow-up work with an owner.
The pull request should state the old and new runtime lines, every version selector changed, dependency updates required, commands run, and any unsupported environment. Keep rollback simple by avoiding unrelated refactors.
A complete migration leaves one source of truth for each environment. Remove obsolete pins only after consumers have moved, and add a check that reports drift between local development, CI, and deployment. That check prevents the next runtime upgrade from starting with another inventory project.
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