Unverified50% confidenceOpinionExact time
Most mainstream enterprise-level Agent deployment solutions are currently situated between the process orchestration and engineering foundation stages, while fully autonomous engineering Agents are still rapidly evolving.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/18/2026
First Seen
Valid until: 12/17/2026
Sources
Related Entities
Related Claims
VerifiedAgent development is moving from an experimental phase to an engineering phase.76% similarUnverified在大模型应用开发领域，Agent（智能体）是最核心的落地形态74% similarUnverifiedMajor technology companies are successively launching Agent platforms, and enterprise demand for Agent development talent continues to rise.74% similarUnverifiedThe Agent engineer advancement path proposed in the article is: first get model calls running, then enable the model to use tools, then build it into a stable interactive system, and finally package the project results into a resume.73% similarUnverifiedWith the rise of agent protocols and agent marketplace concepts, agents will increasingly need to dynamically select collaborators at runtime.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/931866API
curl https://kongchang.com/api/v1/knowledge/claims/931866MCP
get_claim(id=931866)