Deterministic tooling
AssessTools
Rule-based checks such as linters, scripts, or file-structure assertions that produce pass/fail results.
Why it's here
Placed in Assess: 3 article(s) of evidence from 3 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 53%.
Evidence (3)
- 5Hacker News·8/27/2026researchHarness 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.
- 6InfoQ·8/19/2026researchAI Code Review Creates a Knowledge-Sharing Problem
The article argues that AI-generated code is overwhelming traditional code review, making it harder for engineers to learn from one another during the review process. It introduces the idea of cognitive debt, where teams can lose shared understanding of the system if knowledge-sharing does not shift earlier in the development cycle.
- 4InfoQ·7/7/2026researchDesigning Reliable AI Platforms
Aaron Erickson describes how NVIDIA designs and tests AI agent hierarchies for production use. The presentation emphasizes combining deterministic tools with agentic discovery, using rare context effectively, and applying LLM-as-a-judge test pyramids to improve reliability at scale.