Unverified50% confidenceOpinionExact time
Agents that can access external systems, execute actions, and write and run code would cause far greater harm than traditional large language models if they break free from their constraints.
1
Sources
50%
Confidence
Long-term
Relevance
9/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedCode agents have tool-calling capabilities and can actively read and write files, execute terminal commands, call external tools like Git, forming a closed loop of perception-planning-execution.73% similarUnverifiedLarge language models can automate the analysis of malicious code, generate exploit scripts, and simulate social engineering attack scripts, compressing work that would previously take highly skilled hackers hours down to minutes.72% similarUnverifiedCurrent mainstream coding agents have evolved from pure code generation into autonomous systems capable of reading the file system, executing terminal commands, running tests, and self-correcting based on error messages.70% similarUnverified后台编码智能体无需人类实时介入,能够自主完成读取代码仓库、理解任务、生成变更、提交 PR 的完整闭环69% similarUnverifiedThe plugin mechanism allows large language models to obtain real-time data and perform specific operations by calling external APIs, addressing the limitations of LLMs' knowledge cutoffs and inability to interact with external systems.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/860992API
curl https://kongchang.com/api/v1/knowledge/claims/860992MCP
get_claim(id=860992)