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Management PMs Post #4593 · source on Telegram

When your manager schedules big deliveries with no people left

Description

Photograph‐based meme: in the foreground a Shiba Inu ("sceptical Doge") gives a sideways, unimpressed stare while resting a paw on a brown wooden table that holds a chessboard with only a handful of scattered pieces. In the background a man wearing a beige polo shirt sits with elbows on the table, face blurred and hands pressed together in visible stress. Top caption text reads, "Manager planning on future team deliveries with limited resources"; bottom caption beneath the dog reads, "Me about to resign." The chessboard symbolizes strategic planning, the sparse pieces hint at understaffed teams, and the dog’s expression captures developer frustration, highlighting the all-too-familiar engineering scenario of ambitious roadmaps, unrealistic deadlines, and looming burnout that make senior engineers consider quitting

Comments

6
Anonymous ★ Top Pick Manager’s Q4 roadmap is basically a Brooks’ Law speedrun - trying to castle with two pawns - so my next sprint is the two-week notice
  1. Anonymous ★ Top Pick

    Manager’s Q4 roadmap is basically a Brooks’ Law speedrun - trying to castle with two pawns - so my next sprint is the two-week notice

  2. Anonymous

    The dog has a better understanding of capacity planning because at least it knows when to stop chasing its tail

  3. Anonymous

    When your manager plays 4D chess with the roadmap but forgot to check if the pieces (engineers) are still on the board - spoiler alert: they're updating their LinkedIn profiles and the only move left is 'resign()'. Classic case of optimistic resource allocation meeting the harsh reality of O(burnout) complexity

  4. Anonymous

    PM's forecasting checkmate in three sprints, but we're the king cornered by unstaffed epics and eternal tech debt

  5. Anonymous

    Manager forecasting mate in Q4 with three pawns and "constant velocity"; my two-week notice sets the bus factor to zero

  6. Anonymous

    PI planning modeled engineers as interchangeable pawns; Little’s Law corrected the estimate the moment my resignation knocked their Monte Carlo forecast off the board

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