Writing that changed how I think about programming languages (Score: 150+ in 6 hours)
Link: https://readhacker.news/s/6usuJ
Comments: https://readhacker.news/c/6usuJ
Link: https://readhacker.news/s/6usuJ
Comments: https://readhacker.news/c/6usuJ
Max Bernstein
Writing that changed how I think about PL
Every so often I come across a paper, blog post, or (occasionally) video that completely changes how I think about a topic in programming languages and compilers. For some of these posts, I can’t even remember how I thought about the idea before reading it—it…
Build real-time knowledge graph for documents with LLM (Score: 150+ in 17 hours)
Link: https://readhacker.news/s/6urfH
Comments: https://readhacker.news/c/6urfH
Link: https://readhacker.news/s/6urfH
Comments: https://readhacker.news/c/6urfH
cocoindex.io
Build Real-Time Knowledge Graph For Documents with LLM | CocoIndex
CocoIndex now supports knowledge graph with incremental processing. Build live knowledge for agents is super easy with CocoIndex!
The recently lost file upload feature in the Nextcloud app for Android (Score: 154+ in 7 hours)
Link: https://readhacker.news/s/6usC4
Comments: https://readhacker.news/c/6usC4
Link: https://readhacker.news/s/6usC4
Comments: https://readhacker.news/c/6usC4
Nextcloud
Unhappy with the recently lost file upload feature in the Nextcloud app for Android? So are we. Let us explain. - Nextcloud
Discover why Nextcloud file uploads for Android app are not working properly, and how Google’s app store rules are hurting Nextcloud users.
Ash Framework – Model your domain, derive the rest (❄️ Score: 151+ in 4 days)
Link: https://readhacker.news/s/6ufeF
Comments: https://readhacker.news/c/6ufeF
Link: https://readhacker.news/s/6ufeF
Comments: https://readhacker.news/c/6ufeF
Ash HQ
Ash Framework
Model your domain, derive the rest.
Fingers wrinkle the same way every time they’re in the water too long (Score: 150+ in 14 hours)
Link: https://readhacker.news/s/6urWr
Comments: https://readhacker.news/c/6urWr
Link: https://readhacker.news/s/6urWr
Comments: https://readhacker.news/c/6urWr
How to Build a Smartwatch: Picking a Chip (Score: 152+ in 7 hours)
Link: https://readhacker.news/s/6usMa
Comments: https://readhacker.news/c/6usMa
Link: https://readhacker.news/s/6usMa
Comments: https://readhacker.news/c/6usMa
Ericmigi
How To Build A Smartwatch: Picking A Chip
Databricks and Neon (Score: 151+ in 4 hours)
Link: https://readhacker.news/s/6ut8K
Comments: https://readhacker.news/c/6ut8K
Link: https://readhacker.news/s/6ut8K
Comments: https://readhacker.news/c/6ut8K
Databricks
Databricks and Neon | Databricks Blog
Databricks agrees to acquire Neon, a serverless Postgres database company, to bring speed and flexibility to production workloads.
What Is HDR, Anyway? (🔥 Score: 158+ in 2 hours)
Link: https://readhacker.news/s/6utuh
Comments: https://readhacker.news/c/6utuh
Link: https://readhacker.news/s/6utuh
Comments: https://readhacker.news/c/6utuh
Lux
What is HDR, anyway?
It's not you. HDR confuses tons of people. In this post, we finally explain what HDR actually means, the problem it presents, and three ways to solve it.
SMS 2FA is not just insecure, it's also hostile to mountain people (🔥 Score: 158+ in 2 hours)
Link: https://readhacker.news/s/6utBT
Comments: https://readhacker.news/c/6utBT
Link: https://readhacker.news/s/6utBT
Comments: https://readhacker.news/c/6utBT
stillgreenmoss
SMS 2FA is not just insecure, it's also hostile to mountain people — stillgreenmoss
i have a friend -- she's an old lady born and raised here in the western north carolina mountains. she hates computers, yes, but she's be...
AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms (🔥 Score: 159+ in 1 hour)
Link: https://readhacker.news/s/6utZb
Comments: https://readhacker.news/c/6utZb
Link: https://readhacker.news/s/6utZb
Comments: https://readhacker.news/c/6utZb
Google DeepMind
AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms
New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators
Membrane: Media Framework for Elixir (❄️ Score: 150+ in 4 days)
Link: https://readhacker.news/s/6ufeM
Comments: https://readhacker.news/c/6ufeM
Link: https://readhacker.news/s/6ufeM
Comments: https://readhacker.news/c/6ufeM
membrane.stream
Membrane framework
Reliable & scalable multimedia streaming framework for Elixir
Interferometer Device Sees Text from a Mile Away (❄️ Score: 150+ in 4 days)
Link: https://readhacker.news/s/6ufjf
Comments: https://readhacker.news/c/6ufjf
Link: https://readhacker.news/s/6ufjf
Comments: https://readhacker.news/c/6ufjf
Physics
Interferometer Device Sees Text from a Mile Away
A high-resolution imaging system captures distant objects by shining laser light on them and detecting the reflected light.
A server that wasn't meant to exist (Score: 156+ in 4 hours)
Link: https://readhacker.news/s/6uu9M
Comments: https://readhacker.news/c/6uu9M
Link: https://readhacker.news/s/6uu9M
Comments: https://readhacker.news/c/6uu9M
IT Notes
The Server That Wasn't Meant to Exist
A story from 16 years ago - trust, tech, and a server that had to disappear. They offered me a blank check. I said no.
Changes since congestion pricing started in New York (Score: 151+ in 1 day)
Link: https://readhacker.news/s/6upxD
Comments: https://readhacker.news/c/6upxD
Link: https://readhacker.news/s/6upxD
Comments: https://readhacker.news/c/6upxD
Nytimes
Here Is Everything That Has Changed Since Congestion Pricing Started in New York
Fewer cars. Faster travel. Less honking. And some questions we still can’t answer.
The cryptography behind passkeys (Score: 151+ in 12 hours)
Link: https://readhacker.news/s/6utfz
Comments: https://readhacker.news/c/6utfz
Link: https://readhacker.news/s/6utfz
Comments: https://readhacker.news/c/6utfz
The Trail of Bits Blog
The cryptography behind passkeys
This post will examine the cryptography behind passkeys, the guarantees they do or do not give, and interesting cryptographic things you can do with them, such as generating cryptographic keys and storing certificates.
Git Bug: Distributed, Offline-First Bug Tracker Embedded in Git, with Bridges (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6upzw
Comments: https://readhacker.news/c/6upzw
Link: https://readhacker.news/s/6upzw
Comments: https://readhacker.news/c/6upzw
GitHub
GitHub - git-bug/git-bug: Distributed, offline-first bug tracker embedded in git
Distributed, offline-first bug tracker embedded in git - git-bug/git-bug
Writing N-body gravity simulations code in Python (❄️ Score: 150+ in 4 days)
Link: https://readhacker.news/s/6ueLr
Comments: https://readhacker.news/c/6ueLr
Link: https://readhacker.news/s/6ueLr
Comments: https://readhacker.news/c/6ueLr
Perverse incentives of vibe coding (Score: 150+ in 6 hours)
Link: https://readhacker.news/s/6uuTD
Comments: https://readhacker.news/c/6uuTD
Link: https://readhacker.news/s/6uuTD
Comments: https://readhacker.news/c/6uuTD
Medium
The Perverse Incentives of Vibe Coding
I’ve been using AI coding assistants like Claude Code for a while now, and I’m here to say (with all due respect to people who have…
Show HN: Muscle-Mem, a behavior cache for AI agents (Score: 150+ in 7 hours)
Link: https://readhacker.news/s/6uuUP
Comments: https://readhacker.news/c/6uuUP
Hi HN! Erik here from Pig.dev, and today I'd like to share a new project we've just open sourced:
Muscle Mem is an SDK that records your agent's tool-calling patterns as it solves tasks, and will deterministically replay those learned trajectories whenever the task is encountered again, falling back to agent mode if edge cases are detected. Like a JIT compiler, for behaviors.
At Pig, we built computer-use agents for automating legacy Windows applications (healthcare, lending, manufacturing, etc).
A recurring theme we ran into was that businesses already had RPA (pure-software scripts), and it worked for them in most cases. The pull to agents as an RPA alternative was not to have an infinitely flexible "AI Employees" as tech Twitter/X may want you to think, but simply because their RPA breaks under occasional edge-cases and agents can gracefully handle those cases.
Using a pure-agent approach proved to be highly wasteful. Window's accessibility APIs are poor, so you're generally stuck using pure-vision agents, which can run around $40/hr in token costs and take 5x longer than a human to perform a workflow. At this point, you're better off hiring a human.
The goal of Muscle-Mem is to get LLMs out of the hot path of repetitive automations, intelligently swapping between script-based execution for repeat cases, and agent-based automations for discovery and self-healing.
While inspired by computer-use environments, Muscle Mem is designed to generalize to any automation performing discrete tasks in dynamic environments. It took a great deal of thought to figure out an API that generalizes, which I cover more deeply in this blog:
https://erikdunteman.com/blog/muscle-mem/
Check out the repo, consider giving it a star, or dive deeper into the above blog. I look forward to your feedback!
Link: https://readhacker.news/s/6uuUP
Comments: https://readhacker.news/c/6uuUP
Hi HN! Erik here from Pig.dev, and today I'd like to share a new project we've just open sourced:
Muscle Mem is an SDK that records your agent's tool-calling patterns as it solves tasks, and will deterministically replay those learned trajectories whenever the task is encountered again, falling back to agent mode if edge cases are detected. Like a JIT compiler, for behaviors.
At Pig, we built computer-use agents for automating legacy Windows applications (healthcare, lending, manufacturing, etc).
A recurring theme we ran into was that businesses already had RPA (pure-software scripts), and it worked for them in most cases. The pull to agents as an RPA alternative was not to have an infinitely flexible "AI Employees" as tech Twitter/X may want you to think, but simply because their RPA breaks under occasional edge-cases and agents can gracefully handle those cases.
Using a pure-agent approach proved to be highly wasteful. Window's accessibility APIs are poor, so you're generally stuck using pure-vision agents, which can run around $40/hr in token costs and take 5x longer than a human to perform a workflow. At this point, you're better off hiring a human.
The goal of Muscle-Mem is to get LLMs out of the hot path of repetitive automations, intelligently swapping between script-based execution for repeat cases, and agent-based automations for discovery and self-healing.
While inspired by computer-use environments, Muscle Mem is designed to generalize to any automation performing discrete tasks in dynamic environments. It took a great deal of thought to figure out an API that generalizes, which I cover more deeply in this blog:
https://erikdunteman.com/blog/muscle-mem/
Check out the repo, consider giving it a star, or dive deeper into the above blog. I look forward to your feedback!
GitHub
GitHub - pig-dot-dev/muscle-mem: A cache for AI agents to learn and replay complex behaviors.
A cache for AI agents to learn and replay complex behaviors. - pig-dot-dev/muscle-mem
Copaganda: How Police and the Media Manipulate Our News (Score: 151+ in 4 hours)
Link: https://readhacker.news/s/6uvxF
Comments: https://readhacker.news/c/6uvxF
Link: https://readhacker.news/s/6uvxF
Comments: https://readhacker.news/c/6uvxF
Teen Vogue
How to Sniff Out ‘Copaganda’: When the Police and the Media Manipulate Our News
"By cherry-picking anecdotes, news reports can distort our interpretation of the world."