paperarXivTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
Cheap Code, Costly Judgment: A Case Study on Governable Agentic Software Engineering
Generative AI is shifting software engineering from a practice organized around scarce implementation effort toward one organized around abundant, low-cost code production. This shift changes the central engineering problem: not whether AI can generate useful code, but how engineers organize architectures, tools, evidence, and feedback loops so that AI-mediated development remains inspectable, correctable, and maintainable. We study this problem through a first-person case study: a 12-week development effort in which a single expert software engineer used frontier AI coding agents to build a
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- LinkedLinked via unknownOpen-source agent framework crosses 50k stars →
- LinkedLinked via unknownPatronus AI lands $50M to build ‘digital worlds’ that stress-test AI agents →
- LinkedLinked via unknownAI coding agents taught robots how to install GPUs and cut zip ties →
- LinkedLinked via unknownClaude Code costs up to $200 a month. Goose does the same thing for free. →
- LinkedLinked via unknownReflections on Software Engineering in the Age of AI →
- LinkedLinked via unknownVibe Coding / Agentic workflow →
- PossiblePossibly related (embedding) · 55%jonwiggins/optio →
- PossiblePossibly related (embedding) · 53%closedloop-ai/claude-plugins →
Covers
newsOpen-source agent framework crosses 50k starsnewsPatronus AI lands $50M to build ‘digital worlds’ that stress-test AI agentsnewsAI coding agents taught robots how to install GPUs and cut zip tiesnewsClaude Code costs up to $200 a month. Goose does the same thing for free.newsReflections on Software Engineering in the Age of AI
Covers (incoming)
newsVibe Coding / Agentic workflownewsDecypher: A Deep Semantic Code Graph for Agentic Coding and Engineering (Now in Beta)newsThe 26.1 Percent Problem: Why One Independent Researcher Started Grading Every AI Skill on GitHub - Programming InsidernewsA randomized trial by METR found that experienced developers completed real coding tasks 19% slower when allowed to use AI tools — yet afterwards, they estimated on average that AI had made them 20% faster. - ScienceBlog.comnewsPluggable by design: An agent mesh for software modernization that adopts the next model releasenewsThe cleanup trap: Stop asking RAG to fix bad datanewsThe real bottleneck for AI agents may be proving who they arenewsWhy good AI agents still produce bad system outputsnewsHow AI drove Shopify back to clean code
Implements (incoming)
repojonwiggins/optiorepoclosedloop-ai/claude-pluginsrepopotpie-ai/potpierepospring-projects/spring-airepoProductive-Superintelligence/lllmrepoNeuralInverse/neuralinverserepoSakshxm1/hermes-agency-orchestratorrepoGreen-PT/honey-for-devsreposammcj/mcp-devtoolsrepoalibaba/spring-ai-alibabarepologanthorneloe/ai-for-software-engineersrepospec2ship/spec2shiprepopatchy631/ai-engineering-hubrepostas00/ml-engineeringrepocobusgreyling/loop-engineeringrepoFosowl/agenticSeekrepoNirDiamant/Prompt_EngineeringrepoSATYAM-PRATIBHAN/arcmindAIrepoAgent-Field/pr-afrepoTechMitten/Tips-Tricks-for-Agentic-Coderrepozhu1090093659/spec_driven_developrepotruffle-ai/dextorepowindagency/valora.airepoWecoAI/aidemlrepoarthurpanhku/dvalincoderepodyoshikawa/rulesyncrepoggwhite/4xrepomajiayu000/harnessrepo7-e1even/learn-agent
authored (incoming)
Related across the graph
newsHow AI drove Shopify back to clean coderepoSakshxm1/hermes-agency-orchestratornewsDecypher: A Deep Semantic Code Graph for Agentic Coding and Engineering (Now in Beta)repoProductive-Superintelligence/lllmrepoggwhite/4xpersonKirsten A. DavisnewsThe real bottleneck for AI agents may be proving who they arerepo7-e1even/learn-agentrepoAgent-Field/pr-afnewsThe 26.1 Percent Problem: Why One Independent Researcher Started Grading Every AI Skill on GitHub - Programming Insiderrepotruffle-ai/dextorepojonwiggins/optioreposammcj/mcp-devtoolsrepostas00/ml-engineeringrepozhu1090093659/spec_driven_developrepoNeuralInverse/neuralinverserepopotpie-ai/potpierepomajiayu000/harnessnewsAI coding agents taught robots how to install GPUs and cut zip tiesnewsOpen-source agent framework crosses 50k starsrepopatchy631/ai-engineering-hubpersonTanmay SinglarepoSATYAM-PRATIBHAN/arcmindAIrepoTechMitten/Tips-Tricks-for-Agentic-CoderpersonBerk ÇakarrepoFosowl/agenticSeekrepospec2ship/spec2shipnewsPatronus AI lands $50M to build ‘digital worlds’ that stress-test AI agentsrepospring-projects/spring-ainewsVibe Coding / Agentic workflownewsPluggable by design: An agent mesh for software modernization that adopts the next model releasenewsA randomized trial by METR found that experienced developers completed real coding tasks 19% slower when allowed to use AI tools — yet afterwards, they estimated on average that AI had made them 20% faster. - ScienceBlog.comrepowindagency/valora.airepoGreen-PT/honey-for-devsnewsClaude Code costs up to $200 a month. Goose does the same thing for free.repodyoshikawa/rulesyncrepoWecoAI/aidemlpersonJames C. Davisrepologanthorneloe/ai-for-software-engineersrepoarthurpanhku/dvalincoderepoNirDiamant/Prompt_EngineeringpersonPaschal C. Amusuorepoalibaba/spring-ai-alibabarepoclosedloop-ai/claude-pluginsrepocobusgreyling/loop-engineeringnewsReflections on Software Engineering in the Age of AInewsWhy good AI agents still produce bad system outputsnewsThe cleanup trap: Stop asking RAG to fix bad data