Introducing Claude Opus 4.8
… Users on claude.ai now have control over the amount of effort Claude puts into a task. Claude Code has a new “dynamic workflows” feature that allows it to tackle very large-scale problems. …
"Agent" can be defined in several ways. Some customers define agents as fully autonomous systems that operate independently over extended periods, using various tools to accomplish complex tasks. Others use the term to describe more prescriptive implementations that follow predefined workflows. At Anthropic, we categorize all these variations as agentic systems, but draw an important architectural distinction between workflows and agents: Workflows are systems where LLMs and tools are orchestrated through predefined code paths.Agents, on the other hand, are systems where LLMs dynamically direc
Building Effective AI Agents… Users on claude.ai now have control over the amount of effort Claude puts into a task. Claude Code has a new “dynamic workflows” feature that allows it to tackle very large-scale problems. …
… Claude writes orchestration code Instead of requesting tools one at a time, Claude generates Python code: { "type": "server tool use", "id": "srvtoolu abc", "name": "code execution", "input": { "code": "team = get team members 'engineering' \n..." the code example above } } 3. …
… Similarly, pay attention to instructions or code within the skill that instruct Claude to connect to potentially untrusted external network sources. The future of Skills Agent Skills are supported today across Claude.ai , Claude Code, the Claude Agent SDK, and the Claude Developer Platform. …
… At Anthropic, we categorize all these variations as agentic systems , but draw an important architectural distinction between workflows and agents : Workflows are systems where LLMs and tools are orchestrated through predefined code paths. …
… Claude Opus 4.5 delivers high-quality code and excels at powering heavy-duty agentic workflows with GitHub Copilot. Early testing shows it surpasses internal coding benchmarks while cutting token usage in half , and is especially well-suited for tasks like code migration and code refactoring. …
… We asked the surveyed engineers and researchers to rate how often they used Claude for various types of coding tasks, such as “debugging” using Claude to help fix errors in code , “code understanding” having Claude explain existing code to help the human user understand the codebase , “refactoring”… …
… Claude Code offers the opposite tradeoff. Because Claude Code is our own product, we can link requests across sessions and understand entire agent workflows from start to finish. …
… These “primitives”—simple, foundational measures of how Claude is used, which we generate by asking Claude specific questions about anonymized Claude.ai and first-party 1P API transcripts—cover five dimensions relevant to AI’s economic impact: user and AI skills, how complex tasks are, the degree o… …