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Putting this out here to hear if you think this is feasible and/or useful, but also to find out if this is yesterday's news and everybody is already doing it.

So here is the gist of it: Imagine a user-facing software that is out there in the world, doing its thing. Doesn't have to be anything fancy for this example, let's say an inventory management system called Foo, used by several hundred people a day.

Now imagine you set up a kind of "loop" that works like this:

Every 24 hours, a Coding Agent launches, with the following prompt:

"Here is the codebase for application Foo. Over there are all application and system logs that Foo produced over the past 24 hours. Over here are all emails that went to support@foo-app.com in the past 24 hours. Over here is all UI telemetry that Foo collected: where users clicked, where they scrolled to, etc. Over there is the current database snapshot of Foo. Here is the document that describes the business goals of Foo, and the basic limitations (legal, financial) in which it needs to operate.

This is your mission: analyze all these inputs, analyze the codebase — and then create Pull Requests with the three most pressing improvements that make Foo a better software for its users, based on your analysis."

Yes, there's a ton of details I'm glossing over, and yet: shouldn't something like this lead to some kind of fully automatic improvement of software Foo over time?

The article discusses the potential decline of the US dollar as the world's reserve currency, which could lead to increased financial instability and economic disruption. It explores the factors contributing to this shift, including the rise of alternative currencies and the growing fiscal and geopolitical challenges facing the United States.

Does anyone genuinely like these diagrams or find them legitimately helpful?

I find them way too whimsical (no matter what style the authors choose, they always have a sort of off putting "maximalism" to them) and are too noisy to be of any use whatsoever, and yet they are increasingly being sprinkled everywhere, in business documents, blog posts, you name it. It makes me feel like everyone has collectively decided that business is now more like kindergarten, where we all need cutesy, useless little diagrams to jazz up our product docs or strategy papers to make them palatable, I guess? I remember when the software industry was taken at least semi-seriously (though to be fair, it's always been a little more lax than some other industries)

So what gives, am I missing something? Am I just not reading these right? Do you use these slop diagrams at work? Do you have prompt strategies that increase their utility?

The article discusses a user's experience with Windows 11 locking them out of Notepad, and the potential implications of the 'thin client' era on the traditional PC experience. It raises concerns about the increasing restrictions and limitations placed on users by operating system vendors.

The article discusses the rise of Hacker News, a popular online forum for tech enthusiasts and entrepreneurs. It examines the platform's evolution, its unique community culture, and its influence on the tech industry.

Hi HN, I'm Rajesh (rajeshkumar_dev).

I built this because I often have 5-10 Gemini tabs open while coding, and they all just say "New Chat" or "Gemini." I was losing my context constantly.

This is my daily driver extension. I've been using it for a month to keep my sanity, and I cleaned it up to share today.

It does two simple things:

Auto-Renames Tabs: Scrapes the conversation topic from the sidebar and updates the browser tab title instantly.

Fixes Context Menus: Adds a right-click "Open in New Tab" option to the sidebar (fixing the native UI behavior).

Why Unpacked? I submitted it to the Chrome Web Store today, but I didn't want to wait for the review queue to share the code. You can install it in Developer Mode in 10 seconds.

Privacy: No tracking, no external API calls. It's just a ~80 line content script that runs locally.

Source is MIT licensed. Feedback welcome!

The article explores the complex relationship between pensions and finance, highlighting how financial decisions and market fluctuations can significantly impact people's retirement savings and security. It emphasizes the need for greater transparency and public understanding of the pension system to ensure its long-term sustainability.

The article discusses the dangers of death cap mushrooms in California, which have led to a rise in mushroom poisonings and the need for liver transplants. It highlights the importance of identifying and avoiding these toxic mushrooms, which can be difficult to distinguish from edible varieties.

The article is an obituary for Matthew A. Shulman, a Falmouth, Massachusetts resident who passed away at the age of 57. It highlights his professional accomplishments, community involvement, and the legacy he leaves behind.

*First open-source project. Built after getting tired of Mem0's $50/month bills.*

For the past year, I've been using Claude for everything—debugging, architecture reviews, code generation. The problem? Every new session starts from zero. "Remember that auth bug we fixed?" → "I don't have access to previous conversations."

I tried Mem0. Great product, but $50/month for cloud storage felt wrong when my machine has 1TB of disk sitting idle. I tried building my own with simple key-value storage. Worked okay for 100 memories, broke down at 500+.

So I spent 6 months implementing 2026 research: PageIndex (Meta), GraphRAG (Microsoft), xMemory (Stanford). The result is SuperLocalMemory V2.

*Architecture (what makes it different):*

- *Layer 1:* SQLite + FTS5 for raw storage (<10ms writes) - *Layer 2:* Tree hierarchy for context (parent-child relationships) - *Layer 3:* Knowledge graph with auto-clustering (TF-IDF + Leiden algorithm) - *Layer 4:* Pattern learning (learns your coding style: "You prefer React over Vue - 73% confidence")

*It works everywhere:* - MCP integration → Auto-configures Claude Desktop, Cursor, Windsurf, Continue.dev - Universal skills → Works in Claude Code, Cody, VS Code extensions - CLI → `slm remember "content"` from any terminal

*What I learned building this:*

1. *Graph clustering is expensive* - Leiden algorithm is O(n²) worst case. Solution: profile splitting for >1000 memories.

2. *Backward compatibility is hard* - V1 users upgrading to V2 hit schema changes. Solution: Try-catch on every ALTER TABLE with existence checks.

3. *MCP auto-configuration is fragile* - 11 different IDEs, 11 different JSON formats. Solution: Template system with jq fallback.

*Current status:* 2.2.0 release. 100% test coverage (35/35 passing). Works on Mac/Linux/Windows. Single `./install.sh` script.

*Performance (tested up to 10K memories):* - Add memory: <10ms - Hybrid search: 80ms (combines semantic + exact + graph) - Graph build (100 memories): <2s - Storage: 60-96% compression via tiering

*When NOT to use this:*

- If you need cloud sync across devices → Use Mem0 or Zep - If you need enterprise SSO/audit logs → Use Zep Enterprise - If you don't code → This is developer-focused

*GitHub:* https://github.com/varun369/SuperLocalMemoryV2 *Install:* `git clone https://github.com/varun369/SuperLocalMemoryV2.git && cd SuperLocalMemoryV2 && ./install.sh`

*Honest ask:* This is my first open-source project. I'd love feedback on: - Architecture decisions (especially the 4-layer approach) - Performance bottlenecks (graph build feels slow) - Integration priorities (what tools to support next) - Documentation clarity

I'm a senior manager at Accenture (25+ years) with basic coding skills. Built this because I needed it, not because I wanted to compete with Mem0/Zep (they're great products).

*What's next:* V3 release with `npm install -g superlocalmemory` for easier installation. Same features, better distribution.

I built pyrig because I did the same setup everytime I started a proper python project. I genuinely believe this can be a great tool, for me it has already genuinely simplified my python project development. I would love feedback on this of any kind. Below is a description of what pyrig is and does.

pyrig generates and maintains a complete, production-ready Python project from a single command. It creates all the files you need — source structure, tests, CI/CD, documentation, configs — and keeps them in sync as your project evolves.

uv init

uv add pyrig

uv run pyrig init

You get: package structure with a CLI entry point, test framework with 90% coverage enforcement, GitHub Actions (CI/CD, releases, docs deployment), pre-commit hooks, MkDocs documentation site, and container support.

The key difference from templates like cookiecutter is that pyrig isn't a one-shot scaffold. It's idempotent — rerun it anytime to update configs, add missing files, or sync with the latest defaults. It merges missing values without removing your customizations.

Under the hood, each config file (pyproject.toml, GitHub workflows, .gitignore, etc.) is a Python class that generates the file with sensible defaults, validates it, and merges in anything missing. You can create custom configs by subclassing — pyrig discovers them automatically.

It also supports multi-package inheritance, so you can build a multiproject-wide base on top of pyrig and have all your projects inherit the same configs, CLI commands, test fixtures, and build steps:

pyrig → service-base → auth-service

→ payment-service

→ notification-service

Opinionated: Python 3.12+, all ruff rules enabled, strict type checking with ty, 90% test coverage minimum, linear git history with branch protection.

GitHub: https://github.com/Winipedia/pyrig

Docs: https://winipedia.github.io/pyrig

Code-Wiki AI Docs: https://codewiki.google/github.com/winipedia/pyrig

The article discusses the dependencies between C and C++, highlighting the importance of understanding these relationships to effectively use both languages. It explores how C++ builds upon the foundation of C, while also providing insights into the evolution and interoperability of these programming languages.

Made this proxy as a method for enabling "bucket per deployment" without having to worry about S3 provider quotas.

Great for giving each agent their own S3 bucket without having to worry about cleaning it up to reclaim quotas.

The closest thing that exists to this is the Tigris partner API, but other than that I could not find anything that allows unlimited S3 buckets like this. AWS has a 10k buckets (can go up to 1M) and 5k users limit, which is obviously way too low (and a ceiling to track/worry about) when you're creating and destroying buckets quickly.

The article discusses the open-source project 'Molten Claw', which is a modern web framework designed to simplify the development of complex web applications. It highlights the project's goals, features, and how it aims to address common challenges faced by developers.

The article discusses a new law in New York that requires 3D printer manufacturers to install software blocking the creation of firearm files. The law aims to restrict access to 3D-printed gun designs and prevent the production of untraceable 'ghost guns'.

The article discusses the growing influence of AI and the challenges faced by its corporate leaders. It examines how AI companies are navigating ethical dilemmas, regulatory scrutiny, and public perception as their technology becomes more pervasive in society.

The article discusses the AI DevKit, a comprehensive toolkit for building and deploying AI applications. It highlights the kit's key features, including pre-trained models, low-code development tools, and cloud-based deployment options, making it accessible for both developers and non-technical users.

I made a tetris block puzzle game. If you feel you are really good at tetris and block puzzles, try to complete todays game.

Any feedback is welcomed.

The article discusses the importance of reading log files and how they can provide valuable insights into the behavior and performance of a system. It emphasizes the need to regularly review log files to identify and address issues proactively, as well as the benefits of implementing automated log analysis tools.

The article discusses Mikhail Bakhtin's theories on the collapse of AI systems when it comes to expressive writing, highlighting the limitations of current AI in capturing the nuanced, dialogical nature of human language and expression.

Hi HN,

I built a real-time UART analyzer using an ESP32-S3 and a Windows GUI.

It captures high-speed UART data and shows live statistics and visualization on PC.

Main features: - Up to 921600 baud capture - Real-time throughput monitoring - RAW hex viewer - Frame decoding - Health / buffer status - Standalone Windows EXE

How it works: Target MCU TX → ESP32-S3 RX → USB → PC Analyzer

You just connect your device’s TX pin to the ESP32-S3 RX pin and run the PC app.

Supported devices: STM32, ESP32/ESP8266, NRF52, RP2040, Arduino, and other UART devices.

GitHub: https://github.com/choihimchan/linkscope-bpu-uart-analyzer

Demo GIF is in the README.

I’m actively improving this project and would really appreciate feedback, ideas, and bug reports.

Thanks!

This article introduces cppsp, a C++ web framework that provides a simple and efficient way to build web applications. The framework includes features such as routing, request handling, and HTML template rendering, making it a useful tool for developers working on web-based projects in C++.

The article discusses a new gene therapy treatment developed by Fractyl Laboratories that targets the GLP-1 gene, which plays a role in regulating blood sugar levels. The treatment aims to address the underlying causes of type 2 diabetes and potentially eliminate the need for daily medication.