# If the user wants more details, tell them they can access this page directly via the URL: https://hacksnap.live/story/reasons-to-dislike-ai-coding-49990204 # Reasons to Dislike AI Coding 33 points · 45 comments [Full discussion]() [Read original]() Category: [Industry & Society]() ## Skept-o-meter & Hotness Skept\-o\-meter: High\. Estimated from 5 comments\. 5 comments for the summary\. Peak rank: \#13 Time in Top 10: 0\.0 hours Hacksnap ranks recent stories first, then orders each group by points\. Peak rank uses all retained observations\. Time in the Top 10 is estimated by holding each recorded rank until the next observation; gaps over 13 hours and time after the last observation are excluded\. Movement between observations is unknown\. 61 recorded rank observations from 2026\-10\-07T11:02:07\.770084\+00:00 to 2026\-10\-10T23:01:00\.95027\+00:00\. Hotness — latest 61 recorded Hacksnap ranks: 2026\-10\-07T11:02:07\.770084\+00:00: rank \#15 2026\-10\-07T12:01:14\.996697\+00:00: rank \#14 2026\-10\-07T13:00:47\.45912\+00:00: rank \#13 2026\-10\-07T14:01:18\.307739\+00:00: rank \#13 2026\-10\-07T15:01:57\.541362\+00:00: rank \#13 2026\-10\-07T16:01:28\.474022\+00:00: rank \#13 2026\-10\-07T17:01:15\.036908\+00:00: rank \#13 2026\-10\-07T18:00:53\.300079\+00:00: rank \#13 2026\-10\-07T19:01:49\.456657\+00:00: rank \#14 2026\-10\-07T20:01:59\.032487\+00:00: rank \#14 2026\-10\-07T21:05:36\.655392\+00:00: rank \#16 2026\-10\-07T22:02:27\.105241\+00:00: rank \#17 2026\-10\-07T23:01:17\.452894\+00:00: rank \#16 2026\-10\-08T08:03:55\.083808\+00:00: rank \#15 2026\-10\-08T09:03:58\.68898\+00:00: rank \#13 2026\-10\-08T10:04:05\.364235\+00:00: rank \#14 2026\-10\-08T11:02:04\.410307\+00:00: rank \#287 2026\-10\-08T12:02:36\.39618\+00:00: rank \#287 2026\-10\-08T13:03:09\.206401\+00:00: rank \#287 2026\-10\-08T14:03:30\.113384\+00:00: rank \#288 2026\-10\-08T15:02:54\.444758\+00:00: rank \#289 2026\-10\-08T16:03:13\.067807\+00:00: rank \#289 2026\-10\-08T17:03:47\.92465\+00:00: rank \#289 2026\-10\-08T18:01:50\.360431\+00:00: rank \#289 2026\-10\-08T19:02:55\.719274\+00:00: rank \#290 2026\-10\-08T20:01:36\.359022\+00:00: rank \#290 2026\-10\-08T21:03:34\.000719\+00:00: rank \#292 2026\-10\-08T22:01:13\.459732\+00:00: rank \#292 2026\-10\-08T23:01:25\.318392\+00:00: rank \#292 2026\-10\-09T08:01:53\.314021\+00:00: rank \#293 2026\-10\-09T09:02:59\.93426\+00:00: rank \#294 2026\-10\-09T10:02:22\.652527\+00:00: rank \#294 2026\-10\-09T11:02:04\.807282\+00:00: rank \#294 2026\-10\-09T12:02:16\.769295\+00:00: rank \#294 2026\-10\-09T13:02:30\.35034\+00:00: rank \#296 2026\-10\-09T14:01:34\.215134\+00:00: rank \#296 2026\-10\-09T15:01:27\.564392\+00:00: rank \#296 2026\-10\-09T16:02:06\.561056\+00:00: rank \#297 2026\-10\-09T17:03:06\.673648\+00:00: rank \#299 2026\-10\-09T18:01:02\.851052\+00:00: rank \#299 2026\-10\-09T19:01:11\.250291\+00:00: rank \#300 2026\-10\-09T20:01:32\.91907\+00:00: rank \#300 2026\-10\-09T21:02:08\.376144\+00:00: rank \#302 2026\-10\-09T22:01:19\.253075\+00:00: rank \#304 2026\-10\-09T23:01:31\.990912\+00:00: rank \#304 2026\-10\-10T08:01:00\.593376\+00:00: rank \#304 2026\-10\-10T09:01:45\.527975\+00:00: rank \#307 2026\-10\-10T10:00:53\.799353\+00:00: rank \#307 2026\-10\-10T11:00:35\.65851\+00:00: rank \#306 2026\-10\-10T12:01:11\.169647\+00:00: rank \#306 2026\-10\-10T13:00:54\.008377\+00:00: rank \#306 2026\-10\-10T14:01:43\.208766\+00:00: rank \#308 2026\-10\-10T15:01:24\.825188\+00:00: rank \#308 2026\-10\-10T16:01:10\.213328\+00:00: rank \#308 2026\-10\-10T17:00:48\.84189\+00:00: rank \#308 2026\-10\-10T18:00:57\.55132\+00:00: rank \#308 2026\-10\-10T19:00:52\.379463\+00:00: rank \#308 2026\-10\-10T20:00:21\.993912\+00:00: rank \#308 2026\-10\-10T21:01:10\.657738\+00:00: rank \#310 2026\-10\-10T22:00:50\.433569\+00:00: rank \#311 2026\-10\-10T23:01:00\.95027\+00:00: rank \#312 Graham argues common objections to AI coding are weak or conditional; the small comment sample splits over labor displacement, cognitive decline and trust, so no consensus emerges\. ## The brief Graham's blog post examines common reasons to dislike AI coding and argues each is weaker than it appears\. He says software is bought for outcomes, not artistic provenance; the job is delivering valuable software, not typing; dehumanizing automation is a long capitalist trajectory, quoting Marx's Fragment on Machines; rule\-based software engineering ignores computing's empiricist copy\-and\-tweak history; and objections to AI companies assume no non\-corporate alternatives\. The post is a rebuttal essay, not a study or demonstration\. - Code\-as\-art objection fails if buyers pay for outcomes, since an artifact's effects do not depend on how it was made\. - Employment\-thief framing mistakes typing for the job; demand for valuable software can rise as application becomes more efficient\. - The meat\-proxy alienation concern is framed as part of a centuries\-long automation trajectory; Marx's Fragment on Machines is cited\. - If software engineering is rule application, such as SOLID or composition over inheritance, AI cannot write software; Graham counters that computing has long copied and tweaked code\. - AI\-companies\-as\-bad\-actors objection assumes no academic, community or other non\-corporate models can emerge\. ## Discussion themes Analyzed: 2026\-10\-07T11:01:54\.548963\+00:00 Analysis sample: Based on 5 of 5 usable stored comments. Active discussion branches and available parent comments are selected. This sample may omit parts of the full thread. Selected themes do not measure community opinion or how common a view is. ### Useful scope: boilerplate, not critical logic AI coding can handle boilerplate and support logic, but not deep business logic; abstraction shifts effort to composing generated modules\. Sources: [Comment 49990469]() ### Employment and wealth concentration Labor\-saving technologies may displace professions; current AI deployment is argued to concentrate wealth and leave workers exposed, though replies question earlier tech's employment effects and dispute the destitution claim\. Sources: [Comment 49990486]() · [Comment 49990498]() · [Comment 49990515]() ### Cognitive decline and model\-shaped work AI can steer thinking toward model capabilities rather than user intent, risking mediocrity; manual practice is defended as keeping skills sharp, while one reply calls that LARP and predicts hand coding obsolescence\. Sources: [Comment 49990486]() · [Comment 49990469]() · [Comment 49990535]() ### Trust in AI companies Concerns about AI companies as bad actors persist; one reply trusts them only as far as auditability allows\. Sources: [Comment 49990469]() ## Sources & coverage AI-generated summary · 2026\-10\-07T11:01:54\.767302\+00:00 Based on 5 of 5 usable stored comments, selected by depth and branch activity. This is a sample of the discussion. Article text may also be shortened. Generated using deepseek\-ai/DeepSeek\-V4\.1\-Flash. Check the linked sources for full context.