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Coding Assistants

Your personal coding buddy.

Coding Assistants Experience & Sentiment

While it's no surprise seeing GitHub Copilot top the usage and positive sentiment rankings, it's worth noting that Supermaven has the second highest amount of positive sentiment despite only ranking 4th in terms of usage. This kind of discrepancy is often the sign of a new rising star that could make waves in the year to come.

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71.1%
27.3%
3,938
17.1%
27%
55.4%
3,925
12.7%
50.8%
35.8%
3,921
9.9%
18.2%
71.4%
3,926
7.6%
14.4%
77.4%
3,920
7.1%
29.7%
62.8%
3,926
3.1%
10.7%
85.9%
3,920

Experience

  • Used it: Respondents who have used an item.
  • Heard of it: Respondents who have heard about an item, but haven't used it.
  • Never heard of it: 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.
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技術名をクリックすると、その技術の詳細や、より細かい関連データを見られます。

Other Coding Assistants

What other coding assistants are you currently using?
Freeform
Multiple
0%
20%
40%
60%
80%
100%
9

Other Answers

Answers matching “Other Answers” 109
0%
20%
40%
60%
80%
100%
回答数に占める割合(%)

How many items in this category respondents have used.

0%
9%
17%
26%
34%
43%
1

0

1,040
2

1

1,792
3

2

894
4

3

335
5

4

90
6

5

22
7

6

6
8

7

2
0%
9%
17%
26%
34%
43%
%の質問回答数

Coding Assistants Pain Points

Once again hallucinations and inaccuracies prove to be a big obstacle to wider adoption.

And just like for IDEs, coding assistants having limited context window was also a major issue.

Which pain points have you encountered when using coding assistants?
Freeform
Multiple
0%
20%
40%
60%
80%
100%
1

Hallucination & inaccuracies

2

Context & memory limitations

3

Intrusive or distracting suggestions

4

Poor generated code quality

5

Slow response time

6

Poor UI/UX

7

Poor suggestions

8

Tool integration issues

9

High monetary cost

10

Poor response quality

0%
20%
40%
60%
80%
100%
回答数に占める割合(%)