What this error means
Next.js 16.2.x + Turbopack build failure blocks docker compose build web is a Docker failure pattern reported for developers trying to fix next.js 16.2.x turbopack build failure blocking docker compose production frontend rebuild. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
kagura-ai/memory-cloud issue #643: Production frontend rebuild via docker compose fails with Next.js 16.2.x + Turbopack errors. Different errors on each environment, not attributable to specific PR. Blocks production deployment.
Common causes
- Developers deploying Next.js apps in Docker containers encounter build failures with Next.js 16.2.x + Turbopack. Different errors on each environment make debugging difficult, blocking production deployments.
- kagura-ai/memory-cloud issue #643: Production frontend rebuild via docker compose fails with Next.js 16.2.x + Turbopack errors. Different errors on each environment, not attributable to specific PR. Blocks production deployment.
Quick fixes
- Confirm the exact error signature matches
Next.js 16.2.x + Turbopack build failure blocks docker compose build web. - Check the Docker account, local tool state, and provider configuration involved in the failing workflow.
- Compare the failing environment with a known working setup, then change one configuration value at a time.
Platform/tool-specific checks
- Verify the command, editor, extension, or API client that produced the error.
- Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
- Avoid deleting credentials, local model data, or project settings until the failing scope is clear.
Step-by-step troubleshooting
- Capture the exact error message and the command, editor action, or request that triggered it.
- Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
- Review the source evidence below and compare it with your environment.
- Apply one change at a time and rerun the smallest failing action.
- Keep the working fix documented for the team or deployment environment.
How to prevent it
- Keep provider/tool configuration documented.
- Record non-secret diagnostics such as tool version, provider name, model name, and command path.
- Add a lightweight check before CI or production workflows depend on the tool.