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Public story · 2026-03-04 · source-backed
Hot memory + 19 specialized agents + cold knowledge base, evaluated across 283 sessions on a 108K-line codebase. Open-source companion repo. Blueprint for scaling agentic coding with structured context engineering. (arXiv 2602.20478)
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Three-component infrastructure for maintaining agent coherence in a 108K-line C# codebase: hot-memory constitution, 19 specialized domain-expert agents, and cold-memory knowledge base. Quantitative metrics from 283 sessions. Directly actionable for multi-agent coding workflows...
Research paper validates a three-tier architecture for AI coding context: hot-memory constitution (conventions + retrieval hooks), specialized domain-expert agents, and cold-memory on-demand specs. Projects with AGENTS.md showed 29% reduction in median runtime and 17% in outpu...
40. arXiv — Codified Context 41. arXiv — MindGuard 42. arXiv — Memory-R1 43. arXiv — Protocol Security Comparison 44. arXiv — FeatBench
Strategic partnership produces an enterprise research system combining NVIDIA's parallel execution with LangGraph runtime. Positions LangGraph as the orchestration layer for NVIDIA-powered agentic compute. Source
First academic paper providing a replicable blueprint for building terminal-first AI coding assistants. Dual-agent planning/execution separation, workload-specialized model routing (5 workflow slots), adaptive context compaction, cross-session memory. Install via uv pip instal...
Traced across 557 SWE-chat sessions (94,813 events) and 33,097 agentic pull requests from AIDev. Agent-facing artifacts account for 60.5% of documentation interactions versus 10.6% for classical technical docs and 1.3% for API references. Consultation is self-initiated 70.2% o...
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