AgentLog highlights an ablation study of coding agents. Its briefing reports comparisons of context and planning components. The practical lesson is to measure what each part contributes instead of assuming that more mechanisms produce a better agent.
Choose representative tasks and acceptance criteria before the experiment. Compare a baseline with one additional component at a time. Keep inputs consistent and record quality, time and consumption so a gain is not attributed to the wrong factor.
Include a variant with reduced, processed context. Code files may contain names, emails, credentials or customer information. A personal data barrier does not replace secret detection; exclude keys and confidential material before sending anything.
Check whether sanitization preserves the task and whether summaries reintroduce identifiers. Benchmark outcomes do not predict performance in your project. Rota supplies a data policy and usage records to support the experiment, without conducting the evaluation for you.