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Codejudge Project Assessment: Run Tests, Submit the Project, and Confirm Completion
Prepare for a Codejudge project assessment with API test cases, workspace checks, submission evidence, and a clear distinction between Run, Submit, and End Test
A Codejudge project assessment asks you to deliver working software, but there are three different things to verify: your tests ran, the platform received the intended project, and the assessment itself ended. A green local test result proves only the first. Before you leave, check the submission status and the completion message shown by your particular test.
This guide explains the provider's documented workflow and gives you an original API rehearsal.
Evidence boundary: Official Codejudge help pages were checked on October 4, 2026. They describe several interfaces and assessment types, so your invitation and current instructions take priority. We did not find two independent same-cycle candidate reports establishing a standard project format; this article makes no employer-specific timing, score, or question prediction. The rehearsal and submission ledger below are original preparation recommendations, not reported assessment questions.
What does each Codejudge action establish?
Official fact: The candidate FAQ explicitly distinguishes testing or submitting a question from ending the whole test. It names Submit, Submit Project, Compile and Test, and Execute and Test as actions that do not themselves end the assessment. It describes End Test as the final assessment action.
That distinction matters when the project already looks finished. You may have tested an earlier revision, submitted a different artifact, or left another section unanswered. Treat each state as something requiring its own evidence.
The same FAQ cautions that submitted programming code cannot be changed. Meanwhile, Codejudge's project reporting guide discusses submission records and selection of a candidate's best submission. These pages address different views and task types. They do not establish that your particular project permits unlimited retries. Read the current submission warning before acting.
Preparation inference: Keep a short ledger with three entries: what you tested, what the platform acknowledged, and what confirmed completion. This prevents confidence in your implementation from becoming an unsupported assumption about delivery.
Prepare the workspace before committing to the timed attempt
Codejudge's Local IDE instructions describe creating a workspace, choosing a language and framework, accepting a generated GitHub collaborator invitation, and verifying the server connection and commit check before starting. Its Cloud IDE instructions describe a related repository and workspace flow, including a cloud development environment and connection checks.
These are documented options, not a promise that every invitation offers both. Follow the workspace offered to you. Do not replace a required cloud editor with your local setup because a different Codejudge page supports local development.
For preparation, rehearse the operations that commonly fail outside algorithm practice: starting from a clean checkout, installing declared dependencies, running the specified server command, and locating the entrypoint. Confirm the runtime version and required port from the supplied project. Avoid changing them merely to match your usual development environment.
Codejudge's sample-test guide provides a route to familiarizing yourself with an available sample. Use it when your invitation offers that option. Completing a sample does not prove the real project's framework, timer, or permitted resources will be identical.
Write down the invitation's expiration, test duration, allowed technologies, and rules on external resources or AI assistance. These are separate constraints. An invitation window tells you when you may begin; a timer governs the attempt after you start. Resolve accessibility or setup questions with the recruiter before entering the timed test when possible.
Read the project as an observable contract
Before coding, identify what the evaluator can observe. For a backend task, that may include routes, methods, status codes, response bodies, validation, persistence, and startup behavior. For a frontend project, it may include rendered states and interactions. Preserve the supplied structure unless the instructions authorize a change.
Official fact: Codejudge's React project walkthrough separates application preview, running test cases, and submitting code. A working preview is useful feedback, but it is not equivalent to a submitted solution.
A backend has the same practical distinction. Seeing one successful request in a browser says little about a missing identifier, invalid payload, or fresh server start. Translate the prompt into concrete assertions before adding abstractions.
Ask yourself: which behavior is explicitly required, which is unspecified, and which would be an extra feature? If authentication is not required, a custom authentication system may consume time and interfere with evaluation. If persistence is required, an in-memory demonstration is incomplete even when every happy-path route works.
Record any necessary assumption in the README. An assumption should explain a choice within the prompt's gaps; it should not silently redefine a requirement. For example, treating task titles as case-sensitive can be a documented choice if uniqueness is unspecified. Returning an unexpected response format cannot be excused by a README when the contract specifies it.
Original rehearsal: a task API with tests that expose defects
Use this small project before your assessment. It is an invented practice contract, not a Codejudge question or a prediction about your invitation.
Build a task API with three operations: create a task, retrieve it by identifier, and mark it complete. A task has an integer identifier, a nonblank title, and a Boolean completion field. Creating it returns 201; retrieving a missing task returns 404; invalid creation returns 400. Completing an already completed task returns the same task without creating another record.
Choose persistence explicitly for the rehearsal. If you use a JSON file, define how the application reads existing records at startup and allocates the next identifier. This is a small single-process exercise, not a claim that a JSON file provides production-grade concurrent storage.
| Rehearsal case | Evidence to collect |
|---|---|
| Create a valid task | 201, a nonempty identifier, and the expected body fields |
| Reject a whitespace-only title | 400 and no new stored record |
| Retrieve a missing identifier | 404 rather than a crash or empty success |
| Complete the same task twice | Stable identifier and unchanged record count |
| Restart and retrieve the task | Persistence works from a fresh process |
Separate pure validation tests from request-level tests. A function accepting a title does not prove the route parses JSON, returns the correct status, or preserves the supplied field names. Add one test through the actual application boundary for each operation.
Now deliberately introduce a defect: assign every task the identifier 1. A single create-and-read test can pass. Creating two tasks reveals an overwrite. This illustrates why increasing test count without varying the observable contract gives false confidence.
Introduce a second defect: write the persistence file relative to whichever directory launched the server. Your usual command may work, while a clean invocation from the project root fails. Fix the path against a documented location and rerun the restart case. The point is to make startup assumptions visible, not to imitate proprietary hidden tests.
Make the evaluated revision reproducible
A project that runs only inside your existing terminal is fragile. Dependencies may already be installed, environment variables may be set implicitly, and generated files may hide a missing build step.
Preparation recommendation: Verify the final revision in a clean, disposable local directory using the same documented commands. Do this during rehearsal and, where time and assessment rules permit, before final submission. Do not reset or delete assessment work to manufacture a clean environment.
Your README should give a short route from checkout to a working application: supported runtime, dependency installation, startup, tests, and any required configuration. State which features are complete and any known limitation. Keep credentials and private information out of the repository.
For the task API, a useful explanation might be: “The service validates titles before writing, stores task records across restarts, and treats repeated completion as an idempotent operation. Tests cover the HTTP boundary and a fresh-process reload. Concurrent file writes are outside this exercise's scope.” That is inspectable. “Production ready” without evidence is not.
Before using a package, check the assessment's allowed technology list. Availability on your laptop does not establish permission or evaluator availability. Pin dependencies through the project's existing mechanism rather than introducing an unrelated package manager.
Use a submission evidence ledger
Codejudge's cloud workspace guide describes checking submission status after submitting the project, including an Accepted result when its tests pass. That is evidence about evaluation within the documented flow; it is not an offer decision or a guarantee that the entire assessment is closed.
For your rehearsal, keep a ledger like this:
| State | Record before moving on |
|---|---|
| Tested | Revision identifier, exact command, and result |
| Submitted | Artifact or revision intended for evaluation and visible server acknowledgment |
| Completed | Final assessment state shown after the closing action |
Do not invent a receipt that the interface does not provide. If there is no visible revision identifier, record the available status and time, while acknowledging that limitation. During a real assessment, collect only evidence permitted by its rules; do not capture confidential questions when screenshots are prohibited.
The ledger also helps with recovery. A timeout after clicking Submit is ambiguous: the server may have received the project even if your browser did not show the acknowledgment. Check the submission history or status exposed by the current interface before assuming failure or repeating the action. If the interface provides no safe recovery path, use the test's support instructions.
What should you do when tests or submission fail?
First locate the failing layer. An application that will not start needs a startup diagnosis. A request with the wrong response needs a contract diagnosis. A working server with a failed connection check needs a workspace diagnosis. A pending submission needs a delivery or evaluation diagnosis.
Use the shortest experiment that separates those possibilities. Verify the server command before rewriting application logic. Inspect the actual returned status before changing a database query. Preserve the last working revision when attempting a risky fix.
Do not assume all evaluator details are visible. The candidate FAQ distinguishes visible samples from internal tests for programming questions. Your project may expose different feedback. A failure without detailed logs does not justify claiming the platform is broken; it also does not identify a specific defect in your code.
If support is necessary, report the affected stage, approximate time, visible error, and whether you saw a submission acknowledgment. Include the invitation or test identifier through the authorized support route. Avoid sending secrets or confidential assessment content. Ask whether the attempt can be resumed or reviewed; do not promise yourself that refreshing will restore access.
End the assessment only after checking the remaining work
The completion guide describes a closing confirmation that calls attention to remaining work. Other documented interfaces use Complete rather than End Test. Use the wording and warning in your actual assessment, especially if closing is irreversible.
Before confirming, check the project status, required sections, unanswered items, and any instruction to provide a written explanation. After confirming, read the resulting state. An email may arrive, but absence of an email alone does not prove failure; the platform's visible completion status is the first evidence available to you.
| Question | What to rehearse |
|---|---|
| Implement CRUD API and tests | Deliver a small API with observable behavior |
| Design automated regression tests for an API | Choose tests that distinguish regressions |
| Debug Failing Tests in a Django Movie Search and Filter API | Read a supplied application before repairing it |
| Implement test failure analytics APIs | Connect endpoints, data, and failure evidence |
| Turning Interview Code into a Reusable Library or API | Explain packaging and execution boundaries |
Then practice proving that your repaired revision was tested and submitted, and separately confirming that the assessment ended.