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Attention Training for Writers and Programmers (Deep Work That Sticks)

Written by Suleman Asif, sourced from the studies cited below ยท Updated 2026-07-26

Short answer

Writers and programmers both depend on long, uninterrupted stretches of directed attention, exactly what constant notifications and task-switching erode fastest. Short daily single-task reps, phone-free blocks, and if-then plans for predictable interruptions rebuild the stamina deep work requires, the same foundations backed by attention-residue and implementation-intention research. Training the skill directly, rather than only blocking distractions, is what makes long stretches of writing or coding feel possible again.

Writers and programmers both depend on long, uninterrupted stretches of directed attention, exactly what constant notifications and context switching erode fastest. Short daily single-task reps, phone-free blocks, and if-then plans for predictable interruptions rebuild that stamina directly, rather than only walling off distractions and hoping focus shows up underneath.

Why does deep work feel harder for writers and programmers specifically?

Both crafts load working memory heavily: a half-finished paragraph or an unresolved bug lives entirely in your head until it is done. Attention residue research by Sophie Leroy found unfinished tasks leave the most residue behind after a switch, degrading performance on whatever comes next, and few tasks stay unfinished longer than a chapter or a feature branch. Every chat ping is not a ten-second cost; it is the ping plus the residue plus the climb back into the mental state you were holding.

Does keeping my phone nearby while writing or coding actually cost me anything?

Yes, and the cost lands on exactly the resource this work needs most. A 2017 study by Ward and colleagues found a visible phone reduced available working memory even when it was silenced and face-down. For work that already taxes working memory heavily, that is not a small tax: it is a direct hit to the same capacity you are trying to hold a function or an argument together with.

How do if-then plans help with mid-flow interruptions?

By making the decision in advance, before the interruption arrives. An if-then plan, in the research term an implementation intention, might read: if a message pings mid-function, then I finish this block and reply after. A meta-analysis of 94 studies by Gollwitzer and Sheeran found this style of pre-decided plan carries an average effect of d = 0.65, one of the larger effects in behavior-change research, because it removes the in-the-moment negotiation that a ping is designed to win.

Can working alongside someone else help, even on a solo project?

Often, yes. Body doubling, working in the quiet presence of another person without direct collaboration, is a longstanding practice among writers and in coworking spaces, and it draws on social facilitation, an effect documented since the 1890s, though modern reanalysis found the founding experiment weaker than its legend suggests. A settled co-worker or a silent virtual writing room can make starting easier, even when the two of you are on entirely different projects.

What does a realistic daily practice look like?

Frequently asked questions

Why is it so hard to get back into deep work after an interruption?

Attention residue research found unfinished tasks leave the most residue behind after a switch, which is why a half-written paragraph or an open bug keeps costing focus long after the interruption itself ends.

Does having my phone visible while coding or writing really matter?

Yes. A 2017 study found a visible phone reduced available working memory even when silenced and face-down, which is a direct cost to the same capacity deep work depends on.

Is body doubling useful for a solo creative or technical project?

Many writers and programmers report it helps, even without any direct collaboration. The evidence for body doubling itself is still thin, but its underlying mechanism, social facilitation, is long documented.

Sources

  1. Leroy, S. (2009), "Why Is It So Hard to Do My Work? The Challenge of Attention Residue When Switching Between Work Tasks", Organizational Behavior and Human Decision Processes Found unfinished tasks leave the most attention residue, and that a short resumption plan reduces it.
  2. Ward, Duke, Gneezy & Bos (2017), "Brain Drain: The Mere Presence of One's Own Smartphone Reduces Available Cognitive Capacity", Journal of the Association for Consumer Research Found a visible smartphone reduced available working memory even when silenced and face-down.
  3. Gollwitzer, P.M. & Sheeran, P. (2006), "Implementation Intentions and Goal Achievement: A Meta-Analysis of Effects and Processes", Advances in Experimental Social Psychology Meta-analysis of 94 studies finding implementation intentions had an average effect of d = 0.65.
  4. Stroebe, W. (2012), "The Truth About Triplett (1898), But Nobody Seems to Care", Perspectives on Psychological Science Modern reanalysis of the founding social-facilitation experiment, finding the original results weaker than the commonly retold version.

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