Defensive Programming
A programming practice that does not assume external input conforms to conventions, but instead treats the output of every layer as untrusted input to be checked and validated, so as to isolate errors and prevent faults from propagating.
Timeline (last 90 days)
Defensive programming is a programming paradigm that emphasizes preemptively adding extensive checks, validation, and exception handling to cope with erroneous input or abnormal states; it is necessary in safety-critical systems, but overuse in everyday business development leads to code bloat and rising maintenance costs.
Defensive programming in LLM output parsing means not assuming that the model will necessarily follow the format convention, but instead treating every layer of output as untrusted input to be checked, thereby confining unpredictability to the system boundary and preventing a single format anomaly from spreading into a global failure.
AI programming assistants typically lack real-time security verification capabilities when recommending dependencies, which objectively expands the attack surface.
Precondition checking draws on the concepts of defensive programming and design-by-contract from software engineering, where a function verifies that all preconditions are satisfied before executing its core logic.
Defensive programming refers to developers writing excessively redundant code, adding unnecessary abstraction layers, or deliberately avoiding complex logic to protect themselves, which over time leads to codebase bloat and the accumulation of technical debt.
All Facts (5)
Defensive programming is a programming paradigm that emphasizes preemptively adding extensive checks, validation, and exception handling to cope with erroneous input or abnormal states; it is necessary in safety-critical systems, but overuse in everyday business development leads to code bloat and rising maintenance costs.
50%UnverifiedDefensive programming in LLM output parsing means not assuming that the model will necessarily follow the format convention, but instead treating every layer of output as untrusted input to be checked, thereby confining unpredictability to the system boundary and preventing a single format anomaly from spreading into a global failure.
50%UnverifiedAI programming assistants typically lack real-time security verification capabilities when recommending dependencies, which objectively expands the attack surface.
50%UnverifiedPrecondition checking draws on the concepts of defensive programming and design-by-contract from software engineering, where a function verifies that all preconditions are satisfied before executing its core logic.
50%UnverifiedDefensive programming refers to developers writing excessively redundant code, adding unnecessary abstraction layers, or deliberately avoiding complex logic to protect themselves, which over time leads to codebase bloat and the accumulation of technical debt.
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