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  1. Home
  2. /Repositories
  3. /golobokov.misha/llm-review-agents
Read original ↗
repoGitLabTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

golobokov.misha/llm-review-agents

LLM agents for code review.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 48%AgentTrace →
  • PossiblePossibly related (embedding) · 47%Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents? →
  • PossiblePossibly related (embedding) · 47%TraceLab: Characterizing Coding Agent Workloads for LLM Serving →
  • PossiblePossibly related (embedding) · 46%SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction Tests →
  • PossiblePossibly related (embedding) · 46%[R] Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost →
  • PossiblePossibly related (embedding) · 47%JPLoft Recognized as a Trusted LLM Development Company for Enterprise AI - The National Law Review →
  • PossiblePossibly related (embedding) · 47%For the people who got reviews back from neurips, cvpr, eccv, etc and also tested their paper through an agentic reviewer like the stanford one, how different were the reviews? [D] →

Related to

toolAgentTrace

Implements

paperAre Performance-Optimization Benchmarks Reliably Measuring Coding Agents?paperTraceLab: Characterizing Coding Agent Workloads for LLM ServingpaperSWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction Tests

Covers

news[R] Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost

Covers (incoming)

newsJPLoft Recognized as a Trusted LLM Development Company for Enterprise AI - The National Law ReviewnewsFor the people who got reviews back from neurips, cvpr, eccv, etc and also tested their paper through an agentic reviewer like the stanford one, how different were the reviews? [D]

Related across the graph

paperAre Performance-Optimization Benchmarks Reliably Measuring Coding Agents?paperTraceLab: Characterizing Coding Agent Workloads for LLM ServingnewsJPLoft Recognized as a Trusted LLM Development Company for Enterprise AI - The National Law ReviewnewsFor the people who got reviews back from neurips, cvpr, eccv, etc and also tested their paper through an agentic reviewer like the stanford one, how different were the reviews? [D]paperSWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction Testsnews[R] Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less CosttoolAgentTrace
Knowledge path·PAre Performance-Optimization Benchmarks Reliably Measuring Coding Agents?→PTraceLab: Characterizing Coding Agent Workloads for LLM Serving→NJPLoft Recognized as a Trusted LLM Development Company for Enterprise AI - The National Law Review→Rgolobokov.misha/llm-review-agents

Topics

gitlabopen-source

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Graph trust82Primary