๐Ÿ“ฐ ๅทฒๆŠ“ๅ–ๆ–‡็ซ 

24 ็ฏ‡
1
Scaling Managed Agents: Decoupling the brain from the hands
2
Claude Code auto mode: a safer way to skip permissions
3
Harness design for long-running application development
4
Eval awareness in Claude Opus 4.6โ€™s BrowseComp performance
5
Building a C compiler with a team of parallel Claudes
6
Quantifying infrastructure noise in agentic coding evals
7
Designing AI-resistant technical evaluations
8
Effective context engineering for AI agents
9
A postmortem of three recent issues
10
Writing effective tools for agents โ€” with agents
11
Desktop Extensions: One-click MCP server installation for Claude Desktop
12
How we built our multi-agent research system
13
Demystifying evals for AI agents
14
The "think" tool: Enabling Claude to stop and think in complex tool use situations
15
Raising the bar on SWE-bench Verified with Claude 3.5 Sonnet
16
Building effective agents
17
Introducing Contextual Retrieval
18
Claude Code: Best practices for agentic coding
19
Effective harnesses for long-running agents
20
Introducing advanced tool use on the Claude Developer Platform
21
Code execution with MCP: Building more efficient agents
22
Beyond permission prompts: making Claude Code more secure and autonomous
23
Equipping agents for the real world with Agent Skills
24
Building agents with the Claude Agent SDK
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