Unverified50% confidenceFactExact time
The developer proposed a seven-step workflow: understand the problem, plan the implementation, use AI agents for assistance, review every meaningful change, run tests and check edge cases, verify security and correctness, and improve and document the results.
1
Sources
50%
Confidence
Long-term
Relevance
10/30/2026
First Seen
Sources
Related Entities
Related Claims
Unverified文章演示的UI组件生成命令包含7个步骤：Git安全检查、自动创建分支、TDD测试驱动开发流程（先写测试、再写组件、运行测试验证）以及预览与总结74% similarUnverifiedN.O.V.A.'s flow has six stages: generating questions by candidate level, evaluating on four dimensions of accuracy/clarity/completeness/reasoning, adaptive follow-up questions, explaining concepts when stuck, tracking weaknesses and misconceptions, and generating a personalized preparation plan.72% similarUnverifiedThe standard agent improvement process includes: discover a production problem → find the corresponding trace → sample to form a dataset → analyze the root cause → design a solution → build an evaluation → run experiments → ship, then loop.71% similarUnverifiedSeparating the score that measures progress from the conditions that allow a workflow to be put into production is a key design principle for AI workflow acceptance.71% similarUnverifiedThe AIoT pilot roadmap includes six steps: select a quantifiable entry point, establish a baseline, check data readiness, validate in a test environment (never let a model under validation control critical links of the factory), assess operational value, and scale cautiously.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1115701API
curl https://kongchang.com/api/v1/knowledge/claims/1115701MCP
get_claim(id=1115701)