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LLM as an Engineer vs. a Founder?

1•dm03514•44s ago•0 comments

Show HN: Engineering Perception with Combinatorial Memetics

https://twitter.com/alansass/status/2019904035982307406
1•alan_sass•1m ago•0 comments

Crosstalk inside cells helps pathogens evade drugs, study finds

https://phys.org/news/2026-01-crosstalk-cells-pathogens-evade-drugs.html
2•PaulHoule•1m ago•0 comments

Show HN: Design system generator (mood to CSS in <1 second)

https://huesly.app
1•egeuysall•1m ago•1 comments

Show HN: 26/02/26 – 5 songs in a day

https://playingwith.variousbits.net/saturday
1•dmje•2m ago•0 comments

Toroidal Logit Bias – Reduce LLM hallucinations 40% with no fine-tuning

https://github.com/Paraxiom/topological-coherence
1•slye514•5m ago•1 comments

Top AI models fail at >96% of tasks

https://www.zdnet.com/article/ai-failed-test-on-remote-freelance-jobs/
3•codexon•5m ago•1 comments

The Science of the Perfect Second (2023)

https://harpers.org/archive/2023/04/the-science-of-the-perfect-second/
1•NaOH•6m ago•0 comments

Bob Beck (OpenBSD) on why vi should stay vi (2006)

https://marc.info/?l=openbsd-misc&m=115820462402673&w=2
2•birdculture•9m ago•0 comments

Show HN: a glimpse into the future of eye tracking for multi-agent use

https://github.com/dchrty/glimpsh
1•dochrty•10m ago•0 comments

The Optima-l Situation: A deep dive into the classic humanist sans-serif

https://micahblachman.beehiiv.com/p/the-optima-l-situation
2•subdomain•10m ago•0 comments

Barn Owls Know When to Wait

https://blog.typeobject.com/posts/2026-barn-owls-know-when-to-wait/
1•fintler•11m ago•0 comments

Implementing TCP Echo Server in Rust [video]

https://www.youtube.com/watch?v=qjOBZ_Xzuio
1•sheerluck•11m ago•0 comments

LicGen – Offline License Generator (CLI and Web UI)

1•tejavvo•14m ago•0 comments

Service Degradation in West US Region

https://azure.status.microsoft/en-gb/status?gsid=5616bb85-f380-4a04-85ed-95674eec3d87&utm_source=...
2•_____k•14m ago•0 comments

The Janitor on Mars

https://www.newyorker.com/magazine/1998/10/26/the-janitor-on-mars
1•evo_9•16m ago•0 comments

Bringing Polars to .NET

https://github.com/ErrorLSC/Polars.NET
3•CurtHagenlocher•18m ago•0 comments

Adventures in Guix Packaging

https://nemin.hu/guix-packaging.html
1•todsacerdoti•19m ago•0 comments

Show HN: We had 20 Claude terminals open, so we built Orcha

1•buildingwdavid•19m ago•0 comments

Your Best Thinking Is Wasted on the Wrong Decisions

https://www.iankduncan.com/engineering/2026-02-07-your-best-thinking-is-wasted-on-the-wrong-decis...
1•iand675•19m ago•0 comments

Warcraftcn/UI – UI component library inspired by classic Warcraft III aesthetics

https://www.warcraftcn.com/
1•vyrotek•21m ago•0 comments

Trump Vodka Becomes Available for Pre-Orders

https://www.forbes.com/sites/kirkogunrinde/2025/12/01/trump-vodka-becomes-available-for-pre-order...
1•stopbulying•22m ago•0 comments

Velocity of Money

https://en.wikipedia.org/wiki/Velocity_of_money
1•gurjeet•24m ago•0 comments

Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•29m ago•1 comments

You can't QA your way to the frontier

https://www.scorecard.io/blog/you-cant-qa-your-way-to-the-frontier
1•gk1•30m ago•0 comments

Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
1•latentio•30m ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
2•Anon84•34m ago•0 comments

Nestlé couldn't crack Japan's coffee market.Then they hired a child psychologist

https://twitter.com/BigBrainMkting/status/2019792335509541220
1•rmason•36m ago•1 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•37m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•44m ago•0 comments
Open in hackernews

Understanding Droids

https://docs.factory.ai/user-guides/droids/understanding-droids
5•data_delaurier•8mo ago

Comments

data_delaurier•8mo ago
I have tried every single tool I can get my hands on in this space. From the Codeium VS Code extension, introduced a few years ago, which has now evolved into the powerful Windsurf IDE, as well as others like Blackbox, Refraction.dev (low-key super awesome still), v0, Replit, others I can't remember right now, and of course one of the most popular, Cursor.

They all were wonderful in their own ways, each with its own style, quirks, and various ways of tackling the automation and streamlining the prompt -> model output -> codebase flow. Every time a new model is released, I tend to go back and try them all again, to see how they improve upon previous iterations of the tools they each provide. This caused me to spend quite a bit in subscription fees, as I'm sure all of you have as well.

I think at this point I have gone back and forth between Cursor and Windsurf at least four times, but who's counting, right? I do my best to make evidence-based recommendations, as hype-free as possible, to my friends and colleagues on which tools will help them more efficiently develop and ship the software and hardware they are all feverishly building. At this point, they know if I tell them that switching to a new tool or an old one that has been updated, I am doing it out of love for the game, not to promote things. Well, I've started using a new tool, recommended to me by my friend Robert Scoble (@Scobleizer), and it's the best one yet. Factory AI (by The San Francisco AI Factory Inc.)

I don't need to explain how coding agents work to y'all, so I'm not going to do that. What I will tell you is that the team behind it seems to be a group of some of the most genuine people in the space with talent to produce what I consider to be the SOTA code agent framework to date (5/29/25). This could change overnight considering the pace of acceleration we are all barely keeping up with, but I would give it a try because I'm absolutely positive you won't be disappointed. Here is my workflow now (use whatever tools you want, not here to argue over that stuff):

1. Use Windsurf to flesh out the structure and initial code, push to GitHub. 2. Decide what features I want to add, do some research using Grok/Sonnet-3.6/o3/o4-mini APIs (yes, I'm crazy). 3. Create a development plan and prompt using the Anthropic Workbench (my favorite prompt building method). 4. Send the plan and prompt to Factory AI's Code Droid (code agent).

After testing everything that's built, I continue through their different Droids (Reliability, Knowledge, and Product) until I have what I envisioned in the first place.

What I am very excited about and has opened up more free time for me, is the fact that the Factory Droids work until they are done, and their ability to ingest and understand VERY large codebases is unmatched. In my experience (so far), the need for human intervention has been almost non-existent; the agents just chug along and get the work done while I go for a walk to clear my head.

We live in the future, and I'm loving every second of it!

Go try it out at Factory dot ai