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Claude Code Just Got WAY More Powerful

I break down the biggest announcements from Anthropic’s “Code with Claude” event and what they actually mean for builders shipping AI products today. From scheduled AI routines to outcome-based agents, multi-agent orchestration, and new memory systems, I walks throug the features she’s most excited to use immediately—and how they could reshape the future of agentic software. *What you’ll learn:* 1. How Claude Code routines let you automate recurring workflows on schedules or webhooks 2. What “Outcomes” are and how rubric-based agent grading works 3. How multi-agent orchestration enables specialized AI teams with different roles and tools 4. Why Anthropic’s new “Dreams” memory system matters for long-term agent behavior 5. The biggest launch today (higher rate limits!) 6. How I think about building practical agentic products today *Links and resources:* • Code with Claude: https://claude.com/code-with-claude • Claude Code Routines Docs: https://code.claude.com/docs/en/routines • Define Outcomes Docs: https://platform.claude.com/docs/en/managed-agents/define-outcomes • Dreams Docs: https://platform.claude.com/docs/en/managed-agents/dreams • Multi-Agent Docs: https://platform.claude.com/docs/en/managed-agents/multi-agent • Managed Agent Webhooks Docs: https://platform.claude.com/docs/en/managed-agents/webhooks#supported-event-types • Codex (OpenAI): https://openai.com/codex • GitHub: https://github.com _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email jordan@penname.co._

Claire Vohost
May 7, 202611mWatch on YouTube ↗

CHAPTERS

  1. What launched at “Code with Claude” and why it matters

    Claire recaps attending Anthropic’s first developer event and previews five practical updates across Claude Code and Claude Managed Agents. She frames the video as a fast tour of what shipped, how it works, and what she’d build with it.

  2. Claude Code Routines: scheduled or event-driven automations

    The first major update is “Routines” in the Claude Code app—automations you can trigger on a schedule or via webhooks. Claire highlights this as a long-awaited feature for turning repeated manual workflows into dependable background jobs.

  3. Building a weekly changelog-based newsletter routine

    Claire walks through creating a routine that reads a project changelog and drafts a customer-facing newsletter every Monday morning. She explains the prompt constraints to keep the content focused on customer value rather than internal work.

  4. Routines + connectors: Slack/GitHub integrations and team workflows

    She expands the routine idea with connectors and team-oriented triggers. The point is that routines can be invoked by other systems and can post results where teams already work.

  5. Managed Agents “Outcomes”: rubric-based self-iteration until done

    Next, Claire introduces “Outcomes” in Claude Managed Agents, similar to Codex’s /goal concept. You define what “done” means via a rubric, and the agent self-grades and iterates until it meets the target.

  6. Concrete Outcomes use case: shipping a “ship-ready PRD”

    She makes Outcomes tangible by describing PRD creation cycles that typically require repeated feedback and alignment. With a rubric, an agent could iteratively improve a PRD until it matches a “ship-ready” standard.

  7. Multi-agent teams in Managed Agents: orchestrator + delegates

    Claire highlights a new multi-agent framework where you can programmatically define a team of agents working in the same container/file system. It supports an explicit hierarchy and per-agent toolsets.

  8. Example multi-agent setup for PRDs: strategy, critic, and implementation review

    She proposes how a PRD product could benefit from specialized agent roles. The orchestrator coordinates while sub-agents provide distinct perspectives (product strategy, critique, technical review).

  9. Dreams: on-demand consolidation of agent memory across sessions

    The “Dreams” feature focuses on agent memory—writing helpful markdown artifacts to disk so future sessions perform better. Dreams provides an explicit API primitive to review many sessions and synthesize what should be remembered.

  10. Research preview and the bigger idea: memory (and forgetting) as primitives

    Claire notes Dreams is in research preview and not broadly accessible yet, but it signals how labs are productizing agent memory. She also raises the complementary need for “forgetting” and purging stale or harmful memories.

  11. Usage and rate limit increases: more time, fewer peak-hour constraints

    The final announcement is practical: higher Claude Code usage limits and improved rate limits. Claire emphasizes this as the change many users will feel immediately day-to-day.

  12. Wrap-up: the five takeaways and what they signal about Anthropic’s strategy

    Claire quickly reiterates the five launches and why they’re useful now: automation (Routines), goal-converging agents (Outcomes), coordinated teams (multi-agent), improved memory workflows (Dreams), and higher limits. She closes by positioning Anthropic as aiming to be a leading agent platform for builders.

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