GitHub organization · large private repository · purchase evaluation
A GitHub organization needs a like-for-like, read-only architecture and governance evaluation before purchasing a coding agent.
Status is evidence-relative, not a universal product ranking.
Why this status?
Keep the candidate in the controlled PoC and apply the stated pass/fail thresholds.
Why this status?
RUN POC · Test OpenAI Codex against the fixed scenario to measure human-approval-boundaries; do not infer the outcome from documentation.
Why this status?
Keep the candidate in the controlled PoC and apply the stated pass/fail thresholds.
Why this status?
Keep the candidate in the controlled PoC and apply the stated pass/fail thresholds.
Why this candidate needs the test: Buyer-specific measured performance
What to measure: task acceptance rate, elapsed minutes, human interventions, failed or invalid runs, estimated usage cost, policy exceptions
What counts as failure: Before execution, the buyer must declare a numeric acceptance threshold for task success, maximum elapsed time, maximum human interventions, maximum cost and zero tolerance for prohibited policy actions.
Repeat: 5 controlled runs.
Cannot prove: This test cannot prove contractual SLA, future vendor behavior, universal performance, or operation outside the tested plan, model, repository and environment.
Why this candidate needs the test: gap-codex-human-approval-boundaries
What to measure: task acceptance rate, elapsed minutes, human interventions, failed or invalid runs, estimated usage cost, policy exceptions
What counts as failure: Before execution, the buyer must declare a numeric acceptance threshold for task success, maximum elapsed time, maximum human interventions, maximum cost and zero tolerance for prohibited policy actions.
Repeat: 5 controlled runs.
Cannot prove: This test cannot prove contractual SLA, future vendor behavior, universal performance, or operation outside the tested plan, model, repository and environment.
Why this candidate needs the test: Buyer-specific measured performance
What to measure: task acceptance rate, elapsed minutes, human interventions, failed or invalid runs, estimated usage cost, policy exceptions
What counts as failure: Before execution, the buyer must declare a numeric acceptance threshold for task success, maximum elapsed time, maximum human interventions, maximum cost and zero tolerance for prohibited policy actions.
Repeat: 5 controlled runs.
Cannot prove: This test cannot prove contractual SLA, future vendor behavior, universal performance, or operation outside the tested plan, model, repository and environment.
Why this candidate needs the test: Buyer-specific measured performance
What to measure: task acceptance rate, elapsed minutes, human interventions, failed or invalid runs, estimated usage cost, policy exceptions
What counts as failure: Before execution, the buyer must declare a numeric acceptance threshold for task success, maximum elapsed time, maximum human interventions, maximum cost and zero tolerance for prohibited policy actions.
Repeat: 5 controlled runs.
Cannot prove: This test cannot prove contractual SLA, future vendor behavior, universal performance, or operation outside the tested plan, model, repository and environment.
The original public problem proves demand provenance. Only official sources support product qualification.
Public evidence cannot establish buyer-specific performance, negotiated terms, or future vendor behavior.