Burn Your Flags: Interactive CLIs for Agents — Mark Lummus & Navinkumar Patil, PayPal

Offers an alternative to piling on command flags: expose interactive CLI state to agents through structured side channels or explicit context, keeping the human workflow intact.

• PayPal engineers show that an agent can miss an interactive terminal prompt without any error: where a human sees a question and arrow-key options, the agent sees a redraw loop and loses the interface state.
• They argue adding more command flags only works when inputs are independent and the path is known in advance; it breaks down when later questions depend on earlier answers or live API responses.
• Three alternatives are presented: tmux sessions to send keys and capture terminal state, IPC side channels that expose structured JSON instead of screen scraping, and context injection that makes options and constraints explicit to the agent.

• context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
• benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.

• videoHow Secrets Leak Through AI Agents (and How to Stop It) — Venice AI
• videoFrom Zero to Leaderboard: Agent Evaluation — Wolfram Ravenwolf, Weights & Biases
• videoBuild a Platform and Watch It Burn — Michael Forrester, Accenture & Whitney Lee, Datadog
• videoContinuously Improving Agents with Langfuse — Annabell Schäfer & Lotte Verheyden, ClickHouse

• videoDesigning CLIs for Agents, Not Humans — Pedro Lopez, AirbyteAI Engineer
• videoThe Dark Arts of Web Automation: Teaching Agents to Use Websites Like Humans — Corey Gallon, RexmoreAI Engineer
• videoAgent Frameworks Considered Harmful — Rémi Louf, .txtAI Engineer

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