Expired50% confidenceFactExact time
Even for large models supporting 200K tokens, the execution history accumulated over hours of continuous operation can rapidly fill the context window.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/7/2026
First Seen
Valid until: 10/5/2026(expired)
Sources
Three Role Shifts for Engineers in the AI Agent Era: From Coders to System Designers
twitterOpenAIDevs6/30/2026
Related Claims
UnverifiedIn real-world testing, GLM 5.1 restored a sketch into a runnable page at a speed close to 400 tokens per second, with the entire process from requirement to completed page development taking just over one minute.65% similarUnverifiedIn traditional full-stack development, the front-end and back-end integration phase alone can take hours or even days.64% similarUnverifiedLong-horizon agents need to maintain task state over timeframes of hours or even days, involving key technologies such as context window management, task decomposition and planning, and state persistence.63% similarUnverifiedManually walking through a moderately complex app may take 4–8 hours, while structured tools can compress the time to a few minutes.63% similarUnverifiedThis technology stack can compress the MVP build cycle from several weeks down to several days.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/129620API
curl https://kongchang.com/api/v1/knowledge/claims/129620MCP
get_claim(id=129620)