Highlights from Anthropic’s Code w/ Claude 2026 Conference
2The Code w/ Claude 2026 event brought together AI developers and enthusiasts to explore the latest updates on Anthropic’s AI models and tools. The morning keynote sessions showcased new features, partnerships, and insights into how companies are leveraging AI to improve productivity and creativity. Here’s a breakdown of the key moments from the event.
Keynote Highlights and New Developments
The event kicked off with an animated introduction featuring a pixel art version of Claude, setting a playful tone. Anthropic’s Chief Product Officer Ami Vora took the stage, replacing Mike Krieger, to discuss the company’s focus on making AI more useful and reliable. She shared stories about teams at Stripe and Binti that have increased their developer velocity, emphasizing the importance of tools that help teams work faster.
While there were no new models announced, the presentation highlighted improvements in existing products. Notably, API usage on the Anthropic platform has grown 17 times compared to last year. The company is also rolling out updates to Claude managed agents, including multi-agent orchestration and routines for code generation. These features aim to help users automate complex tasks and coordinate multiple AI agents seamlessly.
Exciting news was announced regarding API rate limits. Developers using Claude Code and the API will now see doubled five-hour limits for their accounts. Additionally, Anthropic is partnering with SpaceX to utilize their Colossus data center, which, despite environmental concerns, provides increased capacity for AI processing. This move underscores the company’s commitment to scaling AI infrastructure.
Advances in Model Capabilities and Platform Features
Dianne Na Penn, Head of Product for Research, shared insights into how AI models are now supporting more complex tasks. She emphasized the importance of tool use, long context understanding, and adaptive thinking. The latest version, Opus 4.7, has a strong focus on visual design and higher judgment, making models better at code and creative tasks. Context windows now feel almost infinite when combined with improved memory, enabling sustained and detailed interactions.
One of the most notable features is multi-agent coordination, allowing several AI agents to work together towards big goals. This setup can accomplish tasks that would be impossible for a single AI to handle alone. The session also covered the evolution of models from working for minutes to running for hours, reflecting significant progress in AI stability and usefulness.
Another key topic was designing for future models. Teams are encouraged to build solutions that may not fully work today but will improve with upcoming upgrades. This approach helps users stay ahead as AI technology advances. The session also highlighted how companies are experimenting with automated evaluations, scaffolding, and innovative applications to maximize the value of AI models.
New Tools and Customer Success Stories
Later in the day, product leaders Katelyn Lesse and Angela Kiang discussed the Claude Platform’s new features aimed at delivering better outcomes. One such feature, the “advisor strategy,” allows smaller models to receive advice from Opus, resulting in higher quality results at lower costs. For example, a customer named Eve achieved similar performance to larger models while spending five times less.
Claude Managed Agents was introduced as a way to accelerate project delivery. It includes three new features: multi-agent orchestration, outcome setting for success metrics, and a “Dreaming” capability. Dreaming enables AI to review previous sessions and self-improve by creating new memories, making long-term projects more feasible. An example showed how multiple AI agents could collaborate on a lunar drone landing mission, demonstrating the potential for complex automation.
Though some features like multi-agent orchestration and outcomes are in public beta, Dreaming remains a research preview. The session highlighted how these tools can help teams build more ambitious projects and reduce manual effort. Several companies, including Shopify and Mercado Libre, shared their success stories using Claude’s tools to manage large-scale coding and data tasks.
Overall, the event showcased Anthropic’s commitment to evolving AI capabilities, with a focus on practical tools that support real-world applications. The conference left attendees excited about the future of AI development and the possibilities that new features and partnerships will unlock for developers everywhere.
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