AI tools that help throughout the development process.
Link til delCoding 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.
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Erfaring
- Brukt det: Respondents who have used an item.
- Hørt om det: Respondents who have heard about an item, but haven't used it.
- Aldri hørt om det: Respondents who have never heard about an item.
Oppfatning
- Positiv: Respondenter som er interessert i å lære mer om en teknologi; eller er villige til å bruke den igjen.
- Nøytral: Respondenter som hadde en nøytral oppfatning av en teknologi.
- Negativ: Respondenter som ikke er interessert i å lære mer om en teknologi; eller har brukt den og hatt en negativ opplevelse.
Link til delCoding 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.
Link til delOther 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?
Fritekstformat
Multiple
Link til delNumber of Items
Number of Items
How many items in this category respondents have used.
Link til delPaid 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
Link til delAnbefalte ressurser
Anbefalte ressurser
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.
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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