These papers go beyond introductory coverage to address the structural engineering challenges that determine whether agentic AI workflows succeed at scale—failure taxonomy, workflow architecture, sub-agent design, remediation patterns, and the human review practices that underpin it all.
A complete engineering methodology for teams building with AI coding agents. The series opens with a sixteen-mode failure taxonomy organized into four priority tiers, then constructs the structural defenses that address each one: workflow architecture, sub-agent design patterns, checkpoint verification, provenance chains, goal-fidelity checks, and a human review runbook calibrated to risk level.
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01
The complete sixteen-mode failure taxonomy across four priority tiers, LLM-general vs. agentic-specific classification, and a roadmap for the series. Explains why the most dangerous failures are the ones that produce plausibly correct output.
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02
Introduces the five domain-independent structural principles through a concrete security review use case. Establishes the self-scaffolding checklist pattern that grounds the entire methodology.
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03
Defines the seven sub-agent archetypes—Researcher, Analyst, Validator, Executor, Auditor, Synthesizer, Coordinator—with enforced tool restrictions and handoff contracts.
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04
Automated remediation with structured human checkpoints: how to gate on risk tier, preserve audit trail, and keep human review focused on judgment calls rather than mechanical verification.
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05
Live demonstration of the full workflow end-to-end, with annotated outputs showing what correct agent behavior looks like at each stage and how failure modes manifest in practice.
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06
Generalizing the security review pattern to testing review, API review, migration review, and performance auditing—showing which elements are domain-specific and which transfer unchanged.
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07
Extracts the domain-independent orchestration pattern and applies it to automated test generation, API code review, database migration review, and performance auditing with complete sub-agent definitions.
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08
Detailed implementation of remediations across all four failure tiers: checkpoint-verifier sub-agent, provenance chains, re-grounding gates, goal-fidelity checks, scope boundary enforcement, consistency reconciliation, and irreversibility gates.
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09
The human side of the methodology: a structured review process for evaluating agent output, calibrated to the four priority tiers. Where to apply scrutiny, what to spot-check, and when to reject versus remediate.
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