hngrok

GPT-5.2 from openai.com
220 by atgctg 1h ago | |

Discussion (197):

Comment analysis in progress.
Litestream VFS from fly.io
89 by emschwartz 1h ago | |

Discussion (28):

Comment analysis in progress.
Going Through Snowden Documents, Part 1 from libroot.org
36 by libroot 47m ago | |

Discussion (11):

Comment analysis in progress.
Show HN: SIM – Apache-2.0 n8n alternative from github.com/simstudioai
35 by waleedlatif1 2h ago | |

Discussion (4):

More comments needed for analysis.
Craft software that makes people feel something from rapha.land
146 by lukeio 5h ago | |

Discussion (62):

Comment analysis in progress.
An Orbital House of Cards: Frequent Megaconstellation Close Conjunctions from arxiv.org
65 by rapnie 4h ago | |

Discussion (34):

Comment analysis in progress.
Show HN: I've asked Claude to improve codebase quality 200 times from gricha.dev
289 by Gricha 2d ago | | |
Article: 22 min

An article discussing an experiment where Claude, an AI agent, was asked to improve the quality of a codebase 200 times over a Thanksgiving weekend. The process led to significant changes in the codebase, including increased lines of code, tests, and utility functions, but also resulted in some unnecessary or unmaintainable additions.

AI-generated code may lead to unexpected changes in software projects, potentially affecting maintainability and development efficiency.
- Claude was asked to improve the codebase 200 times using a specific prompt.
- The process led to substantial changes, including increased lines of code and tests.
- Some of the changes were unnecessary or unmaintainable, such as reinventing utilities and implementing patterns from other programming languages.
Quality:
The article provides a detailed account of the experiment and its outcomes, without overly sensationalizing the results.
Discussion (222):

The comment thread discusses the utility of Rust's result-handling system in various contexts, comparing it to exception throwing conventions and other languages' error handling methods.
- Rust's system can be useful in certain contexts
Counterarguments:
- Exception throwing conventions are preferred for quick projects
- Clunkier implementation in TypeScript compared to Go style or Rust enum
Artificial Intelligence AI Applications, Code Generation
Pop!_OS 24.04 LTS with Cosmic Desktop Environment Released from blog.system76.com
23 by onnnon 36m ago | |

Discussion (2):

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Prove It All Night: With no fame or fortune, what keeps a band onstage? (1999) from chicagoreader.com
17 by NaOH 8d ago | |

Discussion (0):

More comments needed for analysis.
Rivian Unveils Custom Silicon, R2 Lidar Roadmap, and Universal Hands Free from riviantrackr.com
74 by doctoboggan 1h ago | |

Discussion (86):

Comment analysis in progress.

In the past 13d 23h 15m, we processed 2437 new articles and 103165 comments with an estimated reading time savings of 48d 14h 27m