AI tools that help throughout the development process.
Tautan menuju bagianCoding 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.
Kelompokkan berdasarkan:
Urutkan berdasarkan:
Pengalaman
- <span aria-hidden="true">🤓</span> Sudah pakai: Responden yang sudah pakai.
- <span aria-hidden="true">👀</span> Pernah dengar: Responden yang sudah dengar, tetapi belum pernah pakai.
- <span aria-hidden="true">🤷</span> Belum pernah dengar: Responden yang belum pernah dengar.
Sentimen
- Positif: Responden yang tertarik untuk belajar tentang sebuah teknologi; atau yang ingin menggunakannya lagi.
- Netral: Responden yang tidak memiliki sentimen akan sebuah teknologi.
- Negatif: Responden yang tidak tertarik untuk belajar tentang sebuah teknologi; atau yang sudah pernah pakai dan memiliki pengalaman negatif.
Tautan menuju bagianCoding 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.
Tautan menuju bagianOther 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?
(Pertanyaan bebas)
Multiple
Tautan menuju bagianNumber of Items
Number of Items
How many items in this category respondents have used.
Tautan menuju bagianPaid 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
Tautan menuju bagianRekomendasi Sumber
Rekomendasi Sumber
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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.
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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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