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(Bsky thread) "This turns the maintainer into an unwitting vibe coder"

https://bsky.app/profile/fullmoon.id/post/3meadfaulhk2s
1•todsacerdoti•23s ago•0 comments

Software development is undergoing a Renaissance in front of our eyes

https://twitter.com/gdb/status/2019566641491963946
1•tosh•42s ago•0 comments

Can you beat ensloppification? I made a quiz for Wikipedia's Signs of AI Writing

https://tryward.app/aiquiz
1•bennydog224•1m ago•1 comments

Spec-Driven Design with Kiro: Lessons from Seddle

https://medium.com/@dustin_44710/spec-driven-design-with-kiro-lessons-from-seddle-9320ef18a61f
1•nslog•2m ago•0 comments

Agents need good developer experience too

https://modal.com/blog/agents-devex
1•birdculture•3m ago•0 comments

The Dark Factory

https://twitter.com/i/status/2020161285376082326
1•Ozzie_osman•3m ago•0 comments

Free data transfer out to internet when moving out of AWS (2024)

https://aws.amazon.com/blogs/aws/free-data-transfer-out-to-internet-when-moving-out-of-aws/
1•tosh•4m ago•0 comments

Interop 2025: A Year of Convergence

https://webkit.org/blog/17808/interop-2025-review/
1•alwillis•5m ago•0 comments

Prejudice Against Leprosy

https://text.npr.org/g-s1-108321
1•hi41•6m ago•0 comments

Slint: Cross Platform UI Library

https://slint.dev/
1•Palmik•10m ago•0 comments

AI and Education: Generative AI and the Future of Critical Thinking

https://www.youtube.com/watch?v=k7PvscqGD24
1•nyc111•10m ago•0 comments

Maple Mono: Smooth your coding flow

https://font.subf.dev/en/
1•signa11•11m ago•0 comments

Moltbook isn't real but it can still hurt you

https://12gramsofcarbon.com/p/tech-things-moltbook-isnt-real-but
1•theahura•15m ago•0 comments

Take Back the Em Dash–and Your Voice

https://spin.atomicobject.com/take-back-em-dash/
1•ingve•15m ago•0 comments

Show HN: 289x speedup over MLP using Spectral Graphs

https://zenodo.org/login/?next=%2Fme%2Fuploads%3Fq%3D%26f%3Dshared_with_me%25253Afalse%26l%3Dlist...
1•andrespi•16m ago•0 comments

Teaching Mathematics

https://www.karlin.mff.cuni.cz/~spurny/doc/articles/arnold.htm
2•samuel246•19m ago•0 comments

3D Printed Microfluidic Multiplexing [video]

https://www.youtube.com/watch?v=VZ2ZcOzLnGg
2•downboots•19m ago•0 comments

Abstractions Are in the Eye of the Beholder

https://software.rajivprab.com/2019/08/29/abstractions-are-in-the-eye-of-the-beholder/
2•whack•19m ago•0 comments

Show HN: Routed Attention – 75-99% savings by routing between O(N) and O(N²)

https://zenodo.org/records/18518956
1•MikeBee•20m ago•0 comments

We didn't ask for this internet – Ezra Klein show [video]

https://www.youtube.com/shorts/ve02F0gyfjY
1•softwaredoug•20m ago•0 comments

The Real AI Talent War Is for Plumbers and Electricians

https://www.wired.com/story/why-there-arent-enough-electricians-and-plumbers-to-build-ai-data-cen...
2•geox•23m ago•0 comments

Show HN: MimiClaw, OpenClaw(Clawdbot)on $5 Chips

https://github.com/memovai/mimiclaw
1•ssslvky1•23m ago•0 comments

I Maintain My Blog in the Age of Agents

https://www.jerpint.io/blog/2026-02-07-how-i-maintain-my-blog-in-the-age-of-agents/
3•jerpint•24m ago•0 comments

The Fall of the Nerds

https://www.noahpinion.blog/p/the-fall-of-the-nerds
1•otoolep•25m ago•0 comments

Show HN: I'm 15 and built a free tool for reading ancient texts.

https://the-lexicon-project.netlify.app/
2•breadwithjam•28m ago•1 comments

How close is AI to taking my job?

https://epoch.ai/gradient-updates/how-close-is-ai-to-taking-my-job
1•cjbarber•29m ago•0 comments

You are the reason I am not reviewing this PR

https://github.com/NixOS/nixpkgs/pull/479442
2•midzer•30m ago•1 comments

Show HN: FamilyMemories.video – Turn static old photos into 5s AI videos

https://familymemories.video
1•tareq_•32m ago•0 comments

How Meta Made Linux a Planet-Scale Load Balancer

https://softwarefrontier.substack.com/p/how-meta-turned-the-linux-kernel
1•CortexFlow•32m ago•0 comments

A Turing Test for AI Coding

https://t-cadet.github.io/programming-wisdom/#2026-02-06-a-turing-test-for-ai-coding
2•phi-system•32m ago•0 comments
Open in hackernews

Show HN: Vector-logic, a lightweight rules engine from first principles

https://github.com/dmitry-lesnik/vector-logic
8•dmitry_stratyfy•2mo ago

Comments

dmitry_stratyfy•2mo ago
Hi HN, I'm one of the creators. I've been tackling the problem of managing complex business rules for years (especially in fintech), and wanted a lightweight, Python-native tool that was built on a solid theoretical foundation.

We built vector-logic (it's on PyPI) and wrote a hands-on guide for Towards Data Science: https://towardsdatascience.com/building-a-rules-engine-from-...

The whole framework is based on a theory we call 'State Algebra,' which we co-authored for arXiv: https://arxiv.org/abs/2509.10326

Happy to answer any questions!

Antibabelic•2mo ago
How does this compare to something like Prolog?
dmitry_stratyfy•2mo ago
Prolog is heavy-weight 1st order logic machine.

vector-logic is light-weight propositional logic inference engine. Optimised for simple queries like "what is the value of 'y' given all rules and evidences", and also allows you to iterate through the entire valid set (all valid assignments).

We also bothered to make the interface very simple and intuitive - you'll have very shallow learning curve.

nch1357•2mo ago
Hi Dmitry. This is really cool -- thanks for sharing! This is very clean and intuitive, and it definitely come in handy when I'm mapping out systems logic.
dmitry_stratyfy•2mo ago
Glad to hear that! Ping me if you have any questions
d_blumberg•2mo ago
Is it brute force or uses some sort of heuristics?
dmitry_stratyfy•2mo ago
Good point. Yes, it uses optimisation for various tasks.

First of all, it uses compact representatin of rules - similar to DNF, but converted to a sparse matrix.

Second, for the inference (which is a process of compiling the knowledge base) the order in which rules are compiled is crucial. We use two types of heuristic optimisations for this process, one is based on Jaccard similarity, another is so called predator-pray heuristics.

Happy to give more details, let me know

d_blumberg•2mo ago
I checked your benchmarks. Runtime with 30 rules is 5x longer than with 45 rules. Am I missing something?
dmitry_stratyfy•2mo ago
This is an expected behaviour. More rules impose more constraints on the feasible space. The space with more rules is hence much smaller. The only pitfall is that in the middle of calculation the feasible space may blow up before eventually shrinking. This is where the optimisation heuristics helps. Your previous question was spot on :)