Unverified50% confidenceOpinionExact time
Prompt engineering remains a key step, and the author adopts a mode that separates "planning" from "execution": a model good at planning (GPT) generates structured prompts, which are then handed to an AI programming tool with tool-calling capabilities for implementation.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/25/2026
First Seen
Valid until: 1/23/2027
Sources
Related Entities
Related Claims
UnverifiedThe development starting point is to verbally describe requirements to ChatGPT or Claude and have the AI convert the scattered description into a structured prompt and a detailed step-by-step action plan.75% similarUnverifiedWriting internal strategy memos is a prime area where "writing as thinking" suffers most; a better approach is to first use AI to build an outline and iterate on ideas, then have AI write the full text once the outline is solid.73% similarUnverifiedDoubao's Expert Mode invokes a more complete reasoning chain and performs more stably than Fast Mode on tasks such as creative writing and script adaptation.72% similarUnverified作者预先定义完整的工作流让智能体照着执行,而非随意发提示词,以保证开发过程的高度一致性71% similarUnverifiedThe addition of context engineering capabilities may upgrade prompt engineering tools from assisting with writing prompts to assisting with building AI applications.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1097422API
curl https://kongchang.com/api/v1/knowledge/claims/1097422MCP
get_claim(id=1097422)