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Article URL: https://tanstaafl.email

Comments URL: https://news.ycombinator.com/item?id=47286300

Points: 4

# Comments: 1

Article URL: https://docs.modular.com/mojo/manual/python-to-mojo/

Comments URL: https://news.ycombinator.com/item?id=47286297

Points: 3

# Comments: 0

Article URL: https://arxiv.org/abs/2508.01832

Comments URL: https://news.ycombinator.com/item?id=47286294

Points: 1

# Comments: 0

Article URL: https://linkedrecords.com/

Comments URL: https://news.ycombinator.com/item?id=47286287

Points: 1

# Comments: 0

Article URL: https://www.pewresearch.org/religion/2026/03/05/in-25-country-survey-americans-especially-likely-to-view-fellow-citizens-as-morally-bad/

Comments URL: https://news.ycombinator.com/item?id=47286285

Points: 3

# Comments: 0

Article URL: https://twitter.com/bcherny/status/2030193932404150413

Comments URL: https://news.ycombinator.com/item?id=47286274

Points: 1

# Comments: 0

Article URL: https://www.lollipopstar.com/

Comments URL: https://news.ycombinator.com/item?id=47286254

Points: 1

# Comments: 0

Article URL: https://www.youtube.com/watch?v=l7YxzS2SGro

Comments URL: https://news.ycombinator.com/item?id=47286247

Points: 2

# Comments: 0

Article URL: https://nikomc.com/2026/03/05/elife-fallout/

Comments URL: https://news.ycombinator.com/item?id=47286245

Points: 1

# Comments: 0

RedDragon is an experiment in building a compiler pipeline that analyses code (malformed / without dependencies / unknown language) across ~15 languages through a single 27-opcode IR, with LLM fallbacks. The design question: where exactly can LLMs enter a compiler pipeline?

RedDragon has three specific insertion points:

- LLM as an alternative compiler frontend. For languages without a built-in parser, the LLM receives a formal IR spec (all 27 opcodes, lowering templates, worked examples) and translates source to IR directly. No language-specific code needed. This works for Haskell, Elixir, Perl — anything with parseable source.

- LLM for syntax repair. When the parser hits a parse error in malformed source, an LLM fixes the broken spans and the system re-parses. The repair is constrained to syntactic fixes; the LLM doesn't change what the code does.

- LLM as runtime resolver. When the VM hits a call to a function that doesn't exist in the IR (e.g., requests.get()), an LLM can produce plausible return values and side effects, so that execution continues through incomplete code.

All three are optional. When code is complete and well-formed, the pipeline makes zero LLM calls. When an LLM fails at any point, the system falls back to symbolic placeholders and keeps going.

Comments URL: https://news.ycombinator.com/item?id=47286241

Points: 1

# Comments: 0

Article URL: https://www.ifixit.com/News/115995/how-apple-used-to-design-its-laptops-for-repairability

Comments URL: https://news.ycombinator.com/item?id=47286238

Points: 3

# Comments: 0

When it comes to taxes, AI still needs an audit.

Comments URL: https://news.ycombinator.com/item?id=47286067

Points: 1

# Comments: 0

Hello HN,

I'm a French firefighter and independent developer. For several years I have been building a simple tool called GeoDirect.

It allows anyone to create a universal location link in seconds that works across different map apps and platforms.

No login No installation No tracking Works with Android, iOS, email, messaging apps and QR codes.

The goal is very simple: make sharing a place universal and effortless.

I would love to hear your feedback.

Comments URL: https://news.ycombinator.com/item?id=47286062

Points: 1

# Comments: 0

Article URL: https://github.com/Ali-Meh619/System_Design_Principles

Comments URL: https://news.ycombinator.com/item?id=47286052

Points: 2

# Comments: 1

Hi HN,

I created a GitHub repository that explains system design concepts using diagrams and real-world examples (Twitter, Uber, Netflix), as well as machine learning key points.

The goal is to make system design and ML easier for engineers preparing for interviews.

I would really appreciate feedback or suggestions for new systems to include.

GitHub: https://github.com/Ali-Meh619/System_Design_Principles

Comments URL: https://news.ycombinator.com/item?id=47286042

Points: 1

# Comments: 0

Article URL: https://cleantechnica.com/2026/03/06/while-hinkley-nuclear-was-being-built-the-uk-grid-decarbonized/

Comments URL: https://news.ycombinator.com/item?id=47286030

Points: 1

# Comments: 1

Article URL: https://github.com/philzook58/scryerpy

Comments URL: https://news.ycombinator.com/item?id=47286002

Points: 1

# Comments: 0

Article URL: https://blog.openchaos.dev/posts/weeks-8-and-9-the-bot-only-listened-to-its-master

Comments URL: https://news.ycombinator.com/item?id=47285998

Points: 1

# Comments: 0

Post body: Hi HN, I built CV10X (cv10x.com) — an AI career workspace for job seekers who apply to multiple roles and are tired of starting from scratch every time. The core problem I wanted to solve: Most resume builders make you re-enter your information every single time. When you're applying to 20+ jobs, that's exhausting and error-prone. What I built: Memo Context — save your career history, experience, and skills once. Every resume and cover letter you generate automatically pulls from your saved profile. Profile Image — upload your photo once, automatically included in every resume. Other features:

AI resume & cover letter builder tailored to job descriptions ATS analyzer to catch keyword gaps before submission Interview prep built around your own resume Upload existing resumes as PDF or image and let AI rebuild them Free ATS-compatible templates PDF export

Business model: Free tier with limits, Standard $8.99/mo, Pro $19/mo What I'm looking for: Feedback on the product, pricing, and positioning. Especially from anyone who has been through a serious job search recently. cv10x.com — free tier, no credit card required.

Comments URL: https://news.ycombinator.com/item?id=47285996

Points: 1

# Comments: 0