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Top stories from https://news.ycombinator.com (with 100+ score) Contribute to the development here: https://github.com/phil-r/hackernewsbot Also check https://t.me/designer_news Contacts: @philr
Oda Ujiharu: Why the ‘weakest Samurai warlord’ is admired (Score: 150+ in 14 hours)
Link: https://readhacker.news/s/6sVCd
Comments: https://readhacker.news/c/6sVCd
How a Forgotten Battle Created a More Peaceful World (Score: 150+ in 22 hours)
Link: https://readhacker.news/s/6sUtB
Comments: https://readhacker.news/c/6sUtB
AI as Normal Technology (Score: 151+ in 1 day)
Link: https://readhacker.news/s/6sQep
Comments: https://readhacker.news/c/6sQep
US Government threatens Harvard with foreign student ban (Score: 153+ in 6 hours)
Link: https://readhacker.news/s/6sVKq
Comments: https://readhacker.news/c/6sVKq
Adipose tissue retains an epigenetic memory of obesity after weight loss (❄️ Score: 151+ in 3 days)
Link: https://readhacker.news/s/6sHYL
Comments: https://readhacker.news/c/6sHYL
Google Is a Monopolist in Online Advertising Tech, Judge Says (🔥 Score: 157+ in 1 hour)
Link: https://readhacker.news/s/6sWBj
Comments: https://readhacker.news/c/6sWBj
Concurrency in Haskell: Fast, Simple, Correct (❄️ Score: 150+ in 3 days)
Link: https://readhacker.news/s/6sJyk
Comments: https://readhacker.news/c/6sJyk
Encryption Is Not a Crime (🔥 Score: 167+ in 1 hour)
Link: https://readhacker.news/s/6sW7k
Comments: https://readhacker.news/c/6sW7k
US judge finds administration wilfully defied court order in deportation flights (Score: 150+ in 9 hours)
Link: https://readhacker.news/s/6sUY8
Comments: https://readhacker.news/c/6sUY8
Astronomers have found signs of alien life on a planet beyond our Solar System (🔥 Score: 151+ in 2 hours)
Link: https://readhacker.news/s/6sVuM
Comments: https://readhacker.news/c/6sVuM
Show HN: Plandex v2 – open source AI coding agent for large projects and tasks (Score: 151+ in 12 hours)
Link: https://readhacker.news/s/6sUk2
Comments: https://readhacker.news/c/6sUk2
Hey HN! I’m Dane, the creator of Plandex (https://github.com/plandex-ai/plandex), an open source AI coding agent focused especially on tackling large tasks in real world software projects.
You can watch a 2 minute demo of Plandex in action here: https://www.youtube.com/watch?v=SFSu2vNmlLk
And here’s more of a tutorial style demo showing how Plandex can automatically debug a browser application: https://www.youtube.com/watch?v=g-_76U_nK0Y.
I launched Plandex v1 here on HN a little less than a year ago (https://news.ycombinator.com/item?id=39918500).
Now I’m launching a major update, Plandex v2, which is the result of 8 months of heads down work, and is in effect a whole new project/product.
In short, Plandex is now a top-tier coding agent with fully autonomous capabilities. It combines models from Anthropic, OpenAI, and Google to achieve better results, more reliable agent behavior, better cost efficiency, and better performance than is possible by using only a single provider’s models.
I believe it is now one of the best tools available for working on large tasks in real world codebases with AI. It has an effective context window of 2M tokens, and can index projects of 20M tokens and beyond using tree-sitter project maps (30+ languages are supported). It can effectively find relevant context in massive million-line projects like SQLite, Redis, and Git.
A bit more on some of Plandex’s key features:
- Plandex has a built-in diff review sandbox that helps you get the benefits of AI without leaving behind a mess in your project. By default, all changes accumulate in the sandbox until you approve them. The sandbox is version-controlled. You can rewind it to any previous point, and you can also create branches to try out alternative approaches.
- It offers a ‘full auto mode’ that can complete large tasks autonomously end-to-end, including high level planning, context loading, detailed planning, implementation, command execution (for dependencies, builds, tests, etc.), and debugging.
- The autonomy level is highly configurable. You can move up and down the ladder of autonomy depending on the task, your comfort level, and how you weigh cost optimization vs. effort and results.
- Models and model settings are also very configurable. There are built-in models and model packs for different use cases. You can also add custom models and model packs, and customize model settings like temperature or top-p. All model changes are version controlled, so you can use branches to try out the same task with different models. The newly released OpenAI models and the paid Gemini 2.5 Pro model will be integrated in the default model pack soon.
- It can be easily self-hosted, including a ‘local mode’ for a very fast local single-user setup with Docker.
- Cloud hosting is also available for added convenience with a couple of subscription tiers: an ‘Integrated Models’ mode that requires no other accounts or API keys and allows you to manage billing/budgeting/spending alerts and track usage centrally, and a ‘BYO API Key’ mode that allows you to use your own OpenAI/OpenRouter accounts.
I’d love to get more HNers in the Plandex Discord (https://discord.gg/plandex-ai). Please join and say hi!
And of course I’d love to hear your feedback, whether positive or negative. Thanks so much!
Meilisearch – search engine API bringing AI-powered hybrid search (❄️ Score: 150+ in 2 days)
Link: https://readhacker.news/s/6sJNv
Comments: https://readhacker.news/c/6sJNv
Zoom outage caused by accidental 'shutting down' of the zoom.us domain (🔥 Score: 157+ in 2 hours)
Link: https://readhacker.news/s/6sULF
Comments: https://readhacker.news/c/6sULF
Damn Vulnerable MCP Server (Score: 150+ in 8 hours)
Link: https://readhacker.news/s/6sTcx
Comments: https://readhacker.news/c/6sTcx
Man who built ISP instead of paying Comcast expands to hundreds of homes (2022) (🔥 Score: 161+ in 1 hour)
Link: https://readhacker.news/s/6sU5C
Comments: https://readhacker.news/c/6sU5C
HDR‑Infused Emoji (Score: 152+ in 6 hours)
Link: https://readhacker.news/s/6sWzy
Comments: https://readhacker.news/c/6sWzy
Gemini 2.5 Flash (🔥 Score: 150+ in 1 hour)
Link: https://readhacker.news/s/6sXBp
Comments: https://readhacker.news/c/6sXBp
eInk Mode: Making web pages easier to read (❄️ Score: 150+ in 2 days)
Link: https://readhacker.news/s/6sN3n
Comments: https://readhacker.news/c/6sN3n
This 'College Protester' Isn't Real. It's an AI-Powered Undercover Bot for Cops (🔥 Score: 152+ in 3 hours)
Link: https://readhacker.news/s/6sWmD
Comments: https://readhacker.news/c/6sWmD
Passing planes and other whoosh sounds (Score: 152+ in 10 hours)
Link: https://readhacker.news/s/6sVgE
Comments: https://readhacker.news/c/6sVgE
An Intro to DeepSeek's Distributed File System (🔥 Score: 151+ in 2 hours)
Link: https://readhacker.news/s/6sW5U
Comments: https://readhacker.news/c/6sW5U
TikTok Is Harming Children at an Industrial Scale (🔥 Score: 167+ in 1 hour)
Link: https://readhacker.news/s/6sWgK
Comments: https://readhacker.news/c/6sWgK
Making Software (❄️ Score: 150+ in 3 days)
Link: https://readhacker.news/s/6sHYS
Comments: https://readhacker.news/c/6sHYS
Astronomers Detect a Possible Signature of Life on a Distant Planet (Score: 150+ in 12 hours)
Link: https://readhacker.news/s/6sUAi
Comments: https://readhacker.news/c/6sUAi
A Postmortem of a Startup (Score: 150+ in 23 hours)
Link: https://readhacker.news/s/6sS8U
Comments: https://readhacker.news/c/6sS8U
Dirty tricks 6502 programmers use (2019) (Score: 151+ in 18 hours)
Link: https://readhacker.news/s/6sSL3
Comments: https://readhacker.news/c/6sSL3
An Introduction to Stochastic Calculus (2022) (Score: 150+ in 16 hours)
Link: https://readhacker.news/s/6sS7R
Comments: https://readhacker.news/c/6sS7R
Jellyfin as a Spotify alternative (🔥 Score: 155+ in 2 hours)
Link: https://readhacker.news/s/6sUGc
Comments: https://readhacker.news/c/6sUGc
Nintendo Bled Atari Games to Death (Score: 151+ in 9 hours)
Link: https://readhacker.news/s/6sSre
Comments: https://readhacker.news/c/6sSre
12-factor Agents: Patterns of reliable LLM applications (Score: 152+ in 23 hours)
Link: https://readhacker.news/s/6sQJ9
Comments: https://readhacker.news/c/6sQJ9
I've been building AI agents for a while. After trying every framework out there and talking to many founders building with AI, I've noticed something interesting: most "AI Agents" that make it to production aren't actually that agentic. The best ones are mostly just well-engineered software with LLMs sprinkled in at key points.
So I set out to document what I've learned about building production-grade AI systems: https://github.com/humanlayer/12-factor-agents. It's a set of principles for building LLM-powered software that's reliable enough to put in the hands of production customers.
In the spirit of Heroku's 12 Factor Apps (https://12factor.net/), these principles focus on the engineering practices that make LLM applications more reliable, scalable, and maintainable. Even as models get exponentially more powerful, these core techniques will remain valuable.
I've seen many SaaS builders try to pivot towards AI by building greenfield new projects on agent frameworks, only to find that they couldn't get things past the 70-80% reliability bar with out-of-the-box tools. The ones that did succeed tended to take small, modular concepts from agent building, and incorporate them into their existing product, rather than starting from scratch.
The full guide goes into detail on each principle with examples and patterns to follow. I've seen these practices work well in production systems handling real user traffic.
I'm sharing this as a starting point—the field is moving quickly so these principles will evolve. I welcome your feedback and contributions to help figure out what "production grade" means for AI systems!