A green lint result does not prove that code is correct. It proves only that the linter completed without reporting an applicable violation in the files and rules it checked—or, for some tools, that it fixed reported issues. If a team cannot tell what ran, what it examined, and whether failures reached CI, a passing job can create false confidence.
What does a clean lint run actually mean?
It means the configured checks found no reportable violations within their scope. That scope depends on the command, the files it includes, the rules enabled, and any ignores or suppressions. A clean result is therefore evidence about a particular check, not a general certificate of correctness.
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For example, Ruff’s documentation describes rule selection and ignore settings that determine which violations it reports. Its linter documentation explains how select, extend-select, and ignore affect the active rules. A rule that is not selected, or a finding that is suppressed or ignored, cannot appear as a reported violation in that run.
Why can code with a bug still pass?
The bug is outside the selected rules
Linters apply configured rules; they do not check every conceivable property of a program. A linter may be set up to flag style issues or particular error patterns without being configured to identify the defect in question. Review the effective configuration rather than assuming the tool’s full rule catalog is active.
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The relevant file was not checked
The command may target only some directories or file types, while ignore settings may exclude additional paths. If the buggy file is outside that set, a successful run says nothing about it. Confirm the command used in CI and compare its target paths with the files you expect it to cover.
Linting does not execute the program
ESLint describes static analysis as examining code without building or running it, in contrast with dynamic analysis such as tests. That distinction matters: a lint rule can identify certain patterns without observing how the program behaves with actual inputs. A bug that appears only at runtime may not trigger any configured static rule. See the ESLint glossary for its definitions of static and dynamic analysis.
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Linting is not type checking
A linter and a type checker address overlapping but different problems. Ruff’s FAQ says Ruff is not a type checker and recommends using complementary tools where appropriate. A linter may flag a suspicious pattern that a type checker does not, while a type checker may identify a type inconsistency outside the linter’s remit. Neither tool’s clean result substitutes for the other.
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Interpret the status according to the specific tool. Ruff documents exit status 0 when there are no violations or when all present violations were automatically fixed; status 1 indicates violations, and 2 indicates abnormal termination, such as invalid configuration, invalid options, or an internal error. These are Ruff’s documented conventions, not a universal standard for all linters.
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This means a CI job that reports success after Ruff exits with 0 may have found no violations, or may have fixed them. If the distinction matters, inspect the command and output rather than treating the status alone as proof that no issues were encountered. Also check that the CI step actually propagates a failing status instead of masking it.
How should teams make a passing lint job trustworthy?
- Inspect the CI command. Confirm which executable and options run, which paths or file patterns are targeted, and whether the step runs in the intended job.
- Review the effective configuration. Check selected and extended rules, ignores, and inline suppressions. For Ruff, verify how
select,extend-select, andignorecombine in the configuration used by CI. - Verify failure handling. Make sure violations and abnormal termination cause the CI job to fail as intended. Do not assume that a green overall pipeline means every check ran successfully.
- Add checks for other failure modes. Use type checking where type consistency matters, and tests that exercise relevant behavior and inputs. Each adds a different kind of evidence; none guarantees that every defect has been found.
What can static analysis establish—and what can’t it?
A successful static-analysis run establishes that the configured analyzer completed and did not leave reportable findings under that run’s rules and scope, subject to the tool’s own status behavior. It cannot establish that the program has no bugs. A research paper, “Fixing Vulnerabilities Automatically with Linters,” makes the broader conceptual point that, except for trivial properties, static analysis cannot generally eliminate both false positives and false negatives. That is a limit on what can be guaranteed, not a measured estimate of how many defects a linter misses.
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The practical lesson is not to abandon linting. It is to treat its result as one layer of checking, and to make that layer visible: know what ran, what it examined, which rules applied, and what other checks cover the questions linting does not answer.
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