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Oct 23Fri
  1. Tessl Blog38

    Who should own the keys when writing code through an agent?

    The amount and speed of code generated by the agent make manual review a bottleneck; the team needs to use tools as a substitute; the agent is only responsible for writing code without deployment permissions, deployment is controlled by pipelines; all data read by the agent is considered untrusted, the pipeline must ensure security through hash verification and short-term identity, and continuously monitor permission changes.

  2. 36Kr · AI75

    Yuzhu Wang Xingxing: Physical AI will break through in the next two to three years, very afraid of wasting every day.

    Wang Xingxing, founder of Yuzhu, stated at the 2026 World Physics AI Conference that physical AI may achieve major breakthroughs in the next one to three years. He believes that general large models like GPT-6 Astra can directly control robots to complete some tasks, although there are still shortcomings in perceiving real environmental changes and correcting operational errors.

Oct 20Tue
  1. Tessl Blog75

    From Standalone Coding Tools to Development Platforms: How Trust Affects the Adoption of AI Code Assistants

    Engineering teams' trust in AI code assistants determines their scope of use, ranging from viewing code differences to full authorization for merging. Trust is built through rapid validation mechanisms. Development platform costs increase with the intensity of AI agent work, with about 80% of the budget consumed by 20% of heavy users, requiring an evaluation of the effective cost per unit of work. Successful teams start with auxiliary tasks and gradually expand the scope of AI, rather than applying it directly to core systems.

Oct 7Wed
  1. AWS Machine Learning Blog

    AWS has launched an automated value model, redefining the business case for agent automation.

    AWS has proposed an automated value model, redefining the business case for agent automation. Traditional RPA investment return models overlook the value of agent automation in exception handling, decision quality, process adaptability, and value realization. Enterprises need to consider the redeployment value of released labor time or the reduction in cash costs, as well as the cost of exception correction, to build a credible business case.