Hacker News

Article URL: https://github.com/evinjohnn/natively-cluely-ai-assistant

Comments URL: https://news.ycombinator.com/item?id=46947012

Points: 1

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Article URL: https://www.haproxy.com/blog/haproxy-security-audit-results

Comments URL: https://news.ycombinator.com/item?id=46947008

Points: 1

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Article URL: https://nolanlawson.com/2026/02/01/15-years-of-blogging/

Comments URL: https://news.ycombinator.com/item?id=46947000

Points: 1

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Article URL: https://plausiblegame.com/en

Comments URL: https://news.ycombinator.com/item?id=46946287

Points: 1

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Article URL: https://www.robert-glaser.de/the-elastic-loop-introducing-agentic-engineering-strategically/

Comments URL: https://news.ycombinator.com/item?id=46946282

Points: 1

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I’ve been obsessed with a specific problem in AI video: the transition mess. Most models today (Sora, Kling, etc.) are great at generating a single pretty shot, but as soon as the camera moves or the scene changes, the physics fall apart and the visuals start warping into nonsense.

After testing the new Seedance 2.0 models from ByteDance, I noticed they handle scene changes differently. It feels like the model actually understands "editorial logic"—likely because ByteDance (the team behind CapCut/TikTok) trained it on professional editing patterns, not just raw pixels.

I built aiseedance2.app to experiment with this "narrative-first" workflow.

The Current Setup: The Seedance 2.0 API is still in a closed rollout, so I’ve launched this playground using Seedance 1.5 Pro as the engine for now. Even with 1.5 Pro, the temporal consistency and "shot flow" are significantly better than what I've seen in other models. I’ll be migrating to the 2.0 multi-modal reference system the second it's fully public.

Why this matters: If we want AI video to be used for actual filmmaking, the model needs to understand how to "cut" like a human editor. Seedance seems to be the first one to get this right.

I’d love to get your thoughts on the "flow" of these generations.

Comments URL: https://news.ycombinator.com/item?id=46946280

Points: 1

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Article URL: https://fakepixels.substack.com/p/twenty-five-percent-without-thinking

Comments URL: https://news.ycombinator.com/item?id=46946271

Points: 1

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Article URL: https://compliance.getprobo.com/overview

Comments URL: https://news.ycombinator.com/item?id=46946266

Points: 1

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1. *Bridge between Static & Dynamic*: Validates charts/manifests and live cluster state in one tool.

2. *Drift Detection*: Native capability to detect configuration drift (`--compare-to`).

3. *Auto-Fix*: Generates actionable fix plans (`--fix`) rather than just reporting errors.

4. *Exposure Analysis*: Built-in network exposure assessment.

Comments URL: https://news.ycombinator.com/item?id=46946265

Points: 1

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Article URL: https://github.com/SukinShetty/Nemp-memory

Comments URL: https://news.ycombinator.com/item?id=46946254

Points: 1

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I built rowbot because I was getting frustrated reading 500 word responses from LLMs, when what I wanted was not an essay, but a conceptual model.

I wondered if I made the LLM answer in a row-based structure, if it might increase the communication bandwidth.

Admitedly, rowbot is probably not a grand leap forward in how we process information (unless you're trying to conceptualise a database schema). But I think it's an interesting direction to explore – forcing the LLM to return structured data, then rendering it with some kind of infographic engine.

Would love to hear any suggestions on where to take this!

Comments URL: https://news.ycombinator.com/item?id=46946250

Points: 1

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Article URL: https://www.bbc.com/news/articles/c8d5pl34vv0o

Comments URL: https://news.ycombinator.com/item?id=46946248

Points: 2

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Article URL: https://thenewaiorder.substack.com/p/data-teams-should-become-context

Comments URL: https://news.ycombinator.com/item?id=46946246

Points: 1

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Hi HN fam,

If it’s helpful to anyone here, I’m building Lawgmented - a desktop app that helps you review and redraft contracts in Microsoft Word.

Most early-stage founders (and other non-legal folk) deal with contracts in two ways - they grab a template (or worse, generate one with AI) and hope it’s sensible, or they receive the counterparty’s template and try to figure out what it really says. Lawgmented is a guardrail for both scenarios: it helps non-lawyers spot landmines and sanity-check a contract before negotiating and signing.

Lawgmented is a standalone Windows desktop app that runs alongside Microsoft Word to help review contracts in just a few clicks. It highlights key clauses in the document, explains risks in plain language, and suggests role-tailored redrafts you can apply in Word. It’s only $9/mo with a 7-day free trial.

Would love your feedback! Thanks

Comments URL: https://news.ycombinator.com/item?id=46946237

Points: 1

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Article URL: https://www.reuters.com/business/imec-opens-25-bln-euros-chip-pilot-line-europe-looks-strengthen-ai-hand-2026-02-09/

Comments URL: https://news.ycombinator.com/item?id=46946236

Points: 1

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Article URL: https://www.ai21.com/blog/query-dependent-chunking/

Comments URL: https://news.ycombinator.com/item?id=46946229

Points: 2

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Article URL: https://github.com/sipeed/picoclaw

Comments URL: https://news.ycombinator.com/item?id=46946227

Points: 1

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In the yesteryears we had a multitude who thrived. The math wiz, the memorizer, the loner, the high aptitude. Since the boom of the 2010s the field attracted the ambitious, the glitzy, and the influencer.

Ones who thrived in coding as their identity are finding it hard. The entrepreneurs are loving it.

Who is the CS degree for going forward? Who should safely stay away from it?

Comments URL: https://news.ycombinator.com/item?id=46946226

Points: 1

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Article URL: https://www.garymm.org/blog/2026/02/06/testing-software-coding-agents/

Comments URL: https://news.ycombinator.com/item?id=46946217

Points: 1

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Hi HN! I'm Matt, founder of Frontend Mentor (https://www.frontendmentor.io). We provide front-end and full-stack coding challenges with professional Figma designs, enabling developers to build real projects and grow their skills.

The problem: AI coding tools are great, but they can work against you when you're learning. Ask Copilot or Cursor to help with a beginner project, and they'll happily write the whole thing for you. You ship the project, but you didn't really learn anything.

What we did: We added AGENTS.md (and CLAUDE.md) files to every challenge's starter code. These files tell AI tools how to help based on the challenge's difficulty level, so the AI becomes a learning partner rather than an answer machine.

The idea is simple: AI guidance should scale with the learner.

- Newbie: AI acts as a patient mentor. Breaks problems into tiny steps, uses analogies, and gives multiple hints before showing an approach. Won't hand you a complete solution.

- Junior: AI becomes a supportive guide. Introduces debugging, encourages DevTools usage, and explains the "why," not just the "what."

- Intermediate: AI acts like an experienced colleague. Presents trade-offs, shows multiple approaches, and lets you make decisions.

- Advanced: AI acts like a senior dev. Challenges your thinking, plays devil's advocate, gives honest feedback.

- Guru: AI acts like a peer. Debates approaches, references specs, brings different viewpoints.

The core principle across all levels: guide thinking, don't replace it.

Since tools like Cursor and Copilot already look for AGENTS.md in project directories, this works out of the box with no setup.

We don't think anyone has fully figured out AI-assisted learning yet, and the landscape is shifting so quickly. This is our first attempt at making AI tools better by default for people who are trying to build foundational coding skills, not just ship projects.

Would love to hear your thoughts, especially from anyone considering how AI tools and skill development can work together.

Comments URL: https://news.ycombinator.com/item?id=46946215

Points: 1

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