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# The Four Horsemen of Agentic Coding

65 points · 34 comments

[Full discussion](<https://news.ycombinator.com/item?id=49934511>)

[Read original](<https://distantprovince.substack.com/p/the-four-horsemen-of-agentic-coding>)

Category: [Agents & Coding](<https://hacksnap.live/?category=agents-coding>)

## Skept-o-meter & Hotness

Skept\-o\-meter: Low\. Estimated from 4 comments\.

4 comments for the summary\.

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Time in Top 10: 2\.0 hours

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The essay argues agentic coding brings slop, alienation, deskilling and team fallout; commenters corroborate team and review harms but dispute that slop is inherent or unsolved\.

## The brief

Alex Martsinovich argues agentic coding is useful but harmful in four ways: slop, alienation, deskilling, and team fallout\. He contends LLM code has a persistent off\-putting style, agents distance engineers from their work and erode skills, and agent\-mediated workflows reduce team communication and skill expression\. The essay offers no solution, warning that the supply of seasoned engineers who can wield LLMs productively may not last unless learning adapts\.

- LLM\-generated code has a distinctive 'slop' smell; sloppiness appears persistent rather than a growing pain\.
- Agentic coding increases distance between engineers and their work, reducing ownership and care\.
- Deskilling is real: AI erodes existing skills, impedes learning, and offers no meaningful skill progression\.
- Agents weaken team social fabric by reducing interpersonal communication, increasing self\-reliance, and hindering skill expression\.
- The current supply of seasoned engineers who can use LLMs productively is a historical anomaly and will not last unless learning in the AI age is understood\.
- Advice that early\-career engineers avoid AI is not viable for humanity as a whole because the easy button shifts incentives to learn\.

## Discussion themes

Analyzed: 2026\-10\-02T18:01:20\.36416\+00:00

Analysis sample: Based on 4 of 4 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.

### Code quality and review burden

Frontier\-model code quality is disputed; one commenter says reading is unnecessary, while another reports slop\-induced review fatigue and a critical AI\-missed bug\.

Sources: [Comment 49934615](<https://news.ycombinator.com/item?id=49934615>) · [Comment 49935610](<https://news.ycombinator.com/item?id=49935610>)

### Team communication collapse

Slack channels become ghost towns as agent\-written PRs, summaries and review comments replace human discussion and knowledge sharing\.

Sources: [Comment 49935303](<https://news.ycombinator.com/item?id=49935303>)

### Small\-team problem solving

Agentic methods let a small team tackle daunting software problems, especially for engineers motivated by problem\-solving rather than craft alone\.

Sources: [Comment 49935783](<https://news.ycombinator.com/item?id=49935783>)

### Engineer split and backlash

Backlash is attributed to a pre\-existing split between job\-oriented engineers and problem\-solvers, not a universal reaction\.

Sources: [Comment 49935783](<https://news.ycombinator.com/item?id=49935783>)

## Sources & coverage

AI-generated summary · 2026\-10\-02T18:01:20\.834487\+00:00

Based on 4 of 4 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.