Don't build tools for AI agentskept by hugows • sep 13The author argues that redesigning software for AI agents is unnecessary because agent-friendly tools already benefit humans and existing tools have training-data advantages.AboutFigure · Datadog · JiraFiled#ai-agents#automation#developer-tools#software-engineeringRelatedHow Human Should Your Humanoid Be? - by Chris PaxtonBoston Dynamics' new Atlas humanoid robot prioritizes functional design over human mimicry, arguing that non-human forms can be more efficient and cost-effective for industrial tasks.also on Figure, #automationFinance in the intelligence era: continuous decisions, portable assets, delegated distributionFinance in the intelligence era will shift to continuous decisions (metered intelligence), portable assets (tokenized records), and delegated distribution (customer agents), with the AI industry already building this infrastructure.also on Figure, #ai-agentsThe Software Development Lifecycle Is DeadAI agents collapse the software development lifecycle into a tight loop of intent, build, observe, and repeat, making stages like requirements, testing, and code review obsolete.also on Jira, Datadog, #ai-agents, #software-engineering, #developer-toolsStrongDM Software FactoryStrongDM describes building a Software Factory where agents write code from specs and scenarios, validated by a Digital Twin Universe, without any human-written or reviewed code.also on Jira, #automation, #ai-agents, #software-engineering, #developer-toolsHow Cognition Uses Devin to Build Devin - by Nader DabitCognition uses its own Devin agents across Slack, Linear, and CLI to merge 659 PRs weekly, automating code review, bug triage, and design-system audits.also on Datadog, #automation, #ai-agents, #software-engineering, #developer-tools
Don't build tools for AI agents