Atrophy – measure whether AI is eroding your unaided coding skill
Measure what your brain is losing while AI does your work - unaided-skill baselines, decay curves, reliance drills - ashutosh-rath02/atrophy
Atrophy – measure whether AI is eroding your unaided coding skill launched on July 7, 2026 with 5 votes, #4,557 of 24,623 launches that month and more than 75% of that year's launches.
What it does
Are you getting worse at coding without AI? Atrophy tells you - with a number. Atrophy is a command-line app that regularly hands you a small coding exercise to solve without any AI help - no Copilot, no chat, just you and your editor. It grades your solution automatically, keeps a skill rating for you (like a chess Elo), and charts how that rating moves over the weeks. If AI assistance is quietly eroding your ability to code unaided, the chart shows you - before an interview, an outage, or a day without wifi does. $ atrophy drill Binary search misses the edges [debugging · python · tier 2] ──────────────────────────────────────────────────────────── binary_search(items, target) should…from github.com
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Dev Atrophy Test2025 · devatrophy.com · ▲180Hey HN, I'm Per from Scrimba (YC S20), the code-learning platform. There's been a lot of talk lately about whether AI tools are causing skill atrophy amongst developers. We get a front-row seat to this, and we see more and more students struggle with basic concepts, and building apps on their own. This is almost always a consequence of relying too much on ChatGPT and vibe coding tools. So we built a small side project: https://devatrophy.com It's a test of your core web dev knowledge — no handholding, no back rubs, no AI autocomplete. Just you, your brain, and 10 questions. There…
I made an iOS app to gauge AI over-reliance and AI psychosisMay 2026 · apps.apple.com · ▲5Atrophy is an iOS self-report quiz aimed at software engineers who use LLMs heavily enough at work to wonder if they're trending toward AI over-reliance or some form of AI psychosis. I built it because I noticed a pattern: formerly AI-skeptical coworkers now open every standup or design discussion with "I asked Claude..." or "Claude told me..." for technical problems and design decisions. I've felt the same pull myself to delegate every task or problem to AI. It's easy to lean on these tools for almost any amount of critical thinking or problem solving, and I'm worried about what it means…
AI memory with biological decay (52% recall)Apr 2026 · github.com · ▲98Most RAG setups fail because they treat memory like a static filing cabinet. When every transient bug fix or abandoned rule is stored forever, the context window eventually chokes on noise, spiking token costs and degrading the agent's reasoning. This implementation experiments with a biological approach by using the Ebbinghaus forgetting curve to manage context as a living substrate. Memories are assigned a "strength" score where each recall reinforces the data and flattens its decay curve (spaced repetition), while unused data eventually hits a threshold and is pruned. To solve the…
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