๐Ÿ“ฐ ๅทฒๆŠ“ๅ–ๆ–‡็ซ 

26 ็ฏ‡
1
How we contain Claude across products
2
An update on recent Claude Code quality reports
3
Scaling Managed Agents: Decoupling the brain from the hands
4
Claude Code auto mode: a safer way to skip permissions
5
Harness design for long-running application development
6
Eval awareness in Claude Opus 4.6โ€™s BrowseComp performance
7
Building a C compiler with a team of parallel Claudes
8
Quantifying infrastructure noise in agentic coding evals
9
Designing AI-resistant technical evaluations
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
Claude Code: Best practices for agentic coding
14
Demystifying evals for AI agents
15
Raising the bar on SWE-bench Verified with Claude 3.5 Sonnet
16
Building effective agents
17
Introducing Contextual Retrieval
18
The "think" tool: Enabling Claude to stop and think in complex tool use situations
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
25
Effective context engineering for AI agents
26
A postmortem of three recent issues
โ† ่ฟ”ๅ›ž้ฆ–้กต