AI tools that help throughout the development process.
Link to sectionCoding 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.
Group by:
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Εμπειρία
- Το έχω χρησιμοποιήσει: Respondents who have used an item.
- Το έχω ακουστά: Respondents who have heard about an item, but haven't used it.
- Δεν το έχω ακουστά: Respondents who have never heard about an item.
Γνώμη
- Θετική: Συμμετέχοντες οι οποίοι ενδιαφέρονται να μάθουν περισσότερα για μία τεχνολογία, ή θα ήθελαν να την ξαναχρησιμοποιήσουν.
- Ουδέτερη: Συμμετέχοντες οι οποίοι δεν έδειξαν κάποιο συναίσθημα για μία τεχνολογία.
- Αρνητική: Συμμετέχοντες οι οποίοι δεν ενδιαφέρονται να μάθουν περισσότερα για μία τεχνολογία, ή την έχουν χρησιμοποιήσει και είχαν αρνητική εμπειρία.
Link to sectionCoding 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 to sectionOther 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?
Freeform
Multiple
Link to sectionNumber of Items
Number of Items
How many items in this category respondents have used.
Link to sectionPaid 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 to sectionRecommended Resources
Recommended Resources
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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