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Self-Improving Agents Need Hard Boundaries
Self-improving agents can rewrite code, prompts and memory. Production teams need rollback, approval gates and evaluator change control.
Agent Benchmarks Need Runtime Receipts, Not Model Labels
RuBench's revised 19 July 2026 release contains a small but important warning for coding-agent buyers: one audited product configuration silently...
Multimodal Agents Are Still Missing the Workflow
Multimodal agents can see and act in interfaces, but production value still depends on workflow grounding, reliable UI actions and verification.
Agent Accountability Is Becoming Runtime Infrastructure
Agent accountability is becoming runtime infrastructure: identity, delegated authority, trace logs, approvals and incident reconstruction.
Evaluation-Aware Memory: How Agents Should Remember What They Can Prove
Agent memory should promote facts only after evals prove they improve task outcomes, not just because retrieval found them.
Where Agent Adoption Fails: The Function-by-Function Pattern
Function-by-function adoption fails when agents miss workflow ownership, evaluation, integration, or trust boundaries.
Small-Model Routing With Frontier Fallback: The Production Cost Pattern
Small-model routing cuts inference bills only when fallback is measured, budgeted and guarded against confidence failure.
RAG Maintenance After Deployment: The Failure Mode Nobody Budgets For
RAG maintenance after deployment is the hidden operating cost: stale indexes, drifting corpora, weak evals, and silent retrieval failure.
Agent State Migration and Rollback: The Missing Reliability Layer
Agent state migration rollback is becoming the reliability layer between agent memory, workflow versioning, and production recovery.
Multi-Agent Human Handoff Patterns: When the Swarm Needs a Person
Human handoff is not a fallback button. It is the control plane that decides when multi-agent systems should stop acting.