Context Management & Reliability
15%Context preservation, escalation strategies, error propagation, large codebase navigation, human review, and information provenance.
Keeping Claude focused over long conversations. Summarization strategies, context window budgeting, key information anchoring, and the 'lost in the middle' effect that causes critical facts to vanish.
When Claude should escalate to a human, when it should ask for clarification, and when it should proceed. Designing explicit escalation criteria, handling ambiguous policies, and resolving multiple-match scenarios.
How errors cascade through multi-agent systems, why generic error statuses hide valuable context, and how to design structured error propagation that enables intelligent recovery by the coordinator.
Strategies for navigating large codebases with Claude: subagent delegation for isolated exploration, scratchpad files for persisting findings, crash recovery manifests, and the /compact pattern for reducing context mid-session.
Designing human-in-the-loop review workflows with field-level confidence scoring, stratified sampling for error rate measurement, and routing logic that sends low-confidence extractions to human review while automating high-confidence ones.
Tracking where information comes from in multi-agent research systems. Claim-source mappings, handling conflicting statistics across credible sources, temporal data attribution, and rendering content types appropriately.