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Agent-based review

Assess

Techniques

An LLM-based review step that evaluates code against architectural and quality constraints.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

  • 5Hacker News·8/27/2026research
    Harness Engineering for AI-Assisted Coding

    The article introduces harness engineering, a workflow for keeping AI-generated code correct and consistent over time by combining context documents, deterministic checks, and agent-based review. It argues that functional tests alone are not enough, and that teams need verification points to enforce architectural decisions, conventions, and constraints.