AI tools that help throughout the development process.
ลิงก์ไปยังส่วนนี้Coding Agents/Assistants Experience & Sentiment
Coding Agents/Assistants Experience & Sentiment
Once again Claude shows a clear lead over the competition in terms of positive sentiment, with Claude Code topping the rankings even if GitHub Copilot technically has a larger user base.
จัดกลุ่มตาม:
จัดเรียงตาม:
Experience
- <span aria-hidden="true">🤓</span> เคยใช้: Respondents who have used an item.
- <span aria-hidden="true">👀</span> เคยได้ยิน: Respondents who have heard about an item, but haven't used it.
- <span aria-hidden="true">🤷</span> ไม่เคยได้ยิน: Respondents who have never heard about an item.
Sentiment
- Positive: Respondents who are interested in learning more about a technology; or are willing to use it again.
- Neutral: Responents who did not indicate any sentiment about a technology.
- Negative: Respondents who are not interested in learning more about a technology; or have used it and had a negative experience.
ลิงก์ไปยังส่วนนี้Coding Agents & Assistants Ratios Over Time
Coding Agents & Assistants Ratios Over Time
Claude Code and OpenAI Codex are neck-and-neck in terms of respondent satisfaction, but the Anthropic coding tool is actually used way more than its rival.
ลิงก์ไปยังส่วนนี้Other Coding Agents/Assistants
Other Coding Agents/Assistants
Given its popularity, OpenCode should probably have been part of the main survey options. But it makes up for that omission by establishing a comfortable lead over the competition here, with Cursor a close second.
What other coding agents or assistants are you currently using?
แบบอิสระ
Multiple
ลิงก์ไปยังส่วนนี้Number of Items
Number of Items
How many items in this category respondents have used.
ลิงก์ไปยังส่วนนี้Paid Usage
Paid Usage
Echoing results from the Models section, Claude Code also comes in first when it comes which coding assistants developers are willing to open their wallets for.
Out of the agents & assistants mentioned here, which one do you or your company actually pay for?
Multiple
ลิงก์ไปยังส่วนนี้แหล่งข้อมูลที่แนะนำ
แหล่งข้อมูลที่แนะนำ
Scott Moss
Netflix
AI Engineering Fundamentals
Add an agentic chat interface to an existing application. Then establish a rigorous eval harness to systematically improve the agent through context engineering, advanced tool use, RAG, and reliable production feedback loops.
Scott Moss
Netflix
AI Agents Fundamentals, v2
Learn the foundations of agent development like tool calling, agent loops, and and evals. Add human-in-the-loop approvals for higher-stakes operations.
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