Can AI replace a software developer?
The useful starting question is which tasks can be supported safely, not whether the whole profession disappears. Generating code and proving that it meets a specification are different activities. Tests, permissions and production constraints matter.
Separate the task treatments
- Draft boilerplate for a bounded interface: assisted preparation with human review.
- Run a deterministic formatting step: a bounded candidate with testable outputs and exception handling.
- Review security-sensitive changes: verification before use.
What not to infer
Passing familiar tests does not prove security or cover unknown cases. Never paste secrets into this diagnostic. This is an illustrative workflow analysis, not a current capability benchmark, legal/clinical advice or forecast of displacement.
A useful first pilot
Use a small isolated change with meaningful tests, code review and a rollback plan. Include review and correction time in the measurement, not just generation speed.
Questions before delegation
- What invariant must remain true?
- Which adversarial case is missing from tests?
- Can the change be reversed safely?
Map your own software developer tasks
Scoring and sources · Explore how you solve uncertain problems
Questions, answered
Is this an employment prediction?
No. Tasks, model choice, data quality, permissions and organizational context all affect whether assistance is useful.
What should I measure?
Compare correctness, review time, exceptions and consequences in a supervised low-stakes pilot.
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