I normally dislike working with survey data since there 
    is a high possibility of selection bias among 
    the respondents.[..] For this reason, I will 
    show confidence intervals whenever possible to
    reflect the proportionate uncertainty for 
    groupings with insufficient data [..]

That... is not how statistics work(?). I mean – confidence intervals help with small sample sizes, but they do nothing for systematic errors such as those introduced by selection bias.

    [continued from above] and to also account for 
    possibility that a minority of respondents may 
    be dishonest and nudge their programming ability 
    a few points higher than the truth.

There's a surprising amount of assumptions that went into this sentence. I'd question the assertions that:

- people are "dishonest" (My intuition would point to a subconscious bias more than actual dishonesty)

- It's a minority (The second chart shows that >50% of respondents with one year of experience or less rate themselves as better than average).

- That subconscious biases only work in one direction

... and once again I have no idea how confidence intervals can help. A large interval may indicate bad measurement. It may also indicate high variability in the actual data.

    Also, keep in mind that these groupings alone 
    do not imply a causal relationship between 
    the two variables.

... someone paid attention in his middle-school statistics club...

    Employing traditional regression analysis to 
    build a model for predicting programming ability
    would be tricky: does having more experience 
    cause programming skill to improve, or does having
    strong innate technical skill cause developers to
    remain in the industry and grow?

... but failed statistics 101. A regression analysis doesn't care about causality. If "Mac users are more likely to be college-educated" it doesn't matter that "buying a Mac may not actually make you smarter". I can still make the prediction "a given Mac user is more likely to have a college degree".