Ubuyobozi

Kode ya AI

AI coding uses models to help explain, generate, modify, or review software.

2 min somaIbiherutse kuvugururwa Part of the Practical Use learning path

Incamake

The output is a proposed implementation that needs the same attention to requirements, behavior, security, and maintainability as other code. Plausible syntax and a confident explanation do not establish correctness.

Ibyingenzi byingenzi

  • Provide requirements and repository context.
  • Verify APIs and dependencies.
  • Test behavior and inspect the final change.

Kwibira cyane

Give the system the relevant context: the problem, existing architecture, interfaces, constraints, and examples of expected behavior. A solution that compiles can still solve the wrong problem or conflict with repository conventions. Review dependencies and API assumptions. Models can suggest nonexistent functions, outdated interfaces, or packages whose purpose and provenance have not been checked. Use current official documentation and inspect the code that will actually run. Test behavior with meaningful cases, including boundaries and failures. A test that merely reproduces the implementation’s assumptions can pass while the requirement remains unmet. For a bug fix, include evidence that the original failure is corrected without removing the test or weakening its expectation. Keep changes reviewable and verify the final artifact. Examine diffs for unrelated edits, sensitive data, destructive operations, and missing error handling. If the code changes a user interface or external workflow, inspect the rendered or operational result as well as running automated checks.

Ubushishozi

Compilation checks syntax and type constraints, not the full intent of a program. Runtime behavior, data assumptions, permissions, and side effects require additional verification.

Catch a plausible sorting bug

  1. Imagine generated JavaScript sorting the numbers 2, 10, and 1 without a numerical comparator.
  2. The default string-based ordering can produce 1, 10, 2 rather than the required numerical order.
  3. Test varied values and define the intended ordering explicitly before accepting the function.

The constructed example shows why a short, valid-looking function still needs behavioral checks.

Ingaruka z'Ingamba

Build choices

Igishushanyo-cy-urwego rugena niba AI itezimbere ibisubizo nyabyo.

Itsinda hamwe nakazi

Guhuza ibikorwa byiza bikora umusaruro wunguka abakoresha bashobora kwizera.

Risk and safety

Gukoresha neza ibibazo bigabanya umunaniro wimpinduka hamwe ningaruka zo gushyira mubikorwa.

Gushyira mu bikorwa Isi

Ask for a small change with explicit input-output examples and review the resulting diff.

Use an assistant to explain a failing test before changing the implementation.

Ingaruka & Kurinda

Gutangiza inzira yamenetse birashobora kongera ibibazo bihari.

Amakipe arashobora gukora cyane kandi agakuraho ibitekerezo byabantu bikenewe.

Ubwiza burashobora gutemba niba ibisubizo bidahwema gusuzumwa.

Igishushanyo mbonera

1

Shushanya ibikorwa byubu hanyuma umenye intambwe-yo guterana hejuru.

2

Sobanura aho abantu bagenzura mbere yo kwikora byuzuye.

3

Hugura abakoresha kubisobanuro, inzira zo kuzamuka, hamwe nubuziranenge.

4

Kurikirana ibisubizo-urwego rwibisubizo kugirango wemeze agaciro karambye.

Inkomoko no gusoma

Komeza Ubushakashatsi

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Ubuyobozi bukurikira

Ibikoresho bya Kode ya AI

Ibibazo bikunze kubazwa

Does passing a type check prove generated code is correct?

No. It establishes only the checked type constraints. The code can still violate requirements or fail at runtime.