AI-assisted engineers are burning out, is this fine?—Martian Chronicles, Evil Martians’ team blog
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AI-assisted coding workflows are contributing to developer burnout through a combination of higher cognitive intensity, reduced fulfillment, and inflated workloads. When AI handles code generation, developers lose the meditative, rewarding aspects of crafting code and replace them with exhausting review and oversight tasks. This creates a productivity trap: finishing faster leads to taking on more work rather than working less. Contributing factors include loss of codebase context, elimination of passive thinking time, false expectations set by early AI-assisted sprints, review bottlenecks, and endless low-friction iteration. Practical coping strategies include acknowledging wins, rethinking AI workflow habits (plan more, review less), protecting dedicated craft hours without AI, maintaining strict work-life boundaries, and finding new sources of professional satisfaction in the evolving role.
Table of contents
TL;DRThe real question was never about the future of AISo, your developers use AI now—here's what to knowAI’s biggest promise (is sort of) a lieThe math behind the productivity trapWhat we lose when AI writes the codeA quiet career changeDaily reasons contributing to burnoutSelf-help action itemsEpilogueSort: