Systems in practice
AI Coding Agents
Operating models, security limits, benchmarks and agent loops inside real repositories.
7mapped notes1 live · 0 scheduled · 6 researchContent graph / 07 nodes
Research path
Start with the pillar, move into a focused cluster, then follow its supporting field notes. Every node in the AI Coding Agents architecture is exposed here.
- Live
- 1
- Scheduled
- 0
- Research
- 6
Parent–child pathPPillarCClusterSSupporting note
- 01PillarAI Coding Agents: Capabilities, Limits, and TestsLearn how to choose and operate an AI coding agent for a real repository. Evidence artifact, failure checks, verification, and decision rule included.ai coding agentsLive720 US/mo · KD 30
- 01.01ClusterCoding Agent Benchmarks: Measure Repository WorkLearn how to build a fair repository-level coding agent benchmark. Evidence artifact, failure checks, verification, and decision rule included.coding agent benchmarksResearchIntent mapped
- 01.02ClusterCoding Agent Security: Threat Model the Tool LoopLearn how to threat-model a coding agent before granting tools. Evidence artifact, failure checks, verification, and decision rule included.coding agent securityResearchIntent mapped
- 01.03ClusterHow AI Coding Agents WorkLearn how to understand the loop from context gathering to verification. Evidence artifact, failure checks, verification, and decision rule included.how do ai coding agents workResearchIntent mapped