Hacker News

Article URL: https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremacy-a5d02f0e

Comments URL: https://news.ycombinator.com/item?id=46927559

Points: 1

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Article URL: https://github.com/aweussom/HowToShootYourselfInTheFoot

Comments URL: https://news.ycombinator.com/item?id=46927552

Points: 1

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Article URL: https://crawshaw.io/blog/eight-more-months-of-agents

Comments URL: https://news.ycombinator.com/item?id=46927533

Points: 3

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Article URL: https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coordination

Comments URL: https://news.ycombinator.com/item?id=46927529

Points: 1

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Article URL: https://developer.x.com/

Comments URL: https://news.ycombinator.com/item?id=46927518

Points: 1

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I’m building RMA (Rust Monorepo Analyzer) and a small dashboard for it.

The motivation: I love tools like Semgrep/CodeQL, but on big monorepos I kept ending up in “run scan → go make tea” territory. RMA is my attempt at a single-binary, fast SAST + code intelligence scanner that still outputs something you can actually triage.

What you can try in the dashboard:

Browse scan results with dedupe (unique issues vs occurrences)

Export SARIF (GitHub Security tab friendly) and JSON

Filter security findings by subcategory so “real vulns” don’t get drowned out by audit/hardening noise

Default suppression for generated files (toggle to include)

A detail I’m pretty happy about: we now propagate rule metadata end-to-end (confidence, CWE/OWASP, references, impact/likelihood, etc.) so the findings carry enough context to be actionable.

If you try it, I’d love feedback on:

what feels noisy / what feels missing,

which repos it breaks on,

what you’d want for CI gating (vuln-only vs audit/hardening).

Dashboard: https://rma-dashboard.bukhari-kibuka7.workers.dev/

CLI/source: https://github.com/bumahkib7/rust-monorepo-analyzer

Comments URL: https://news.ycombinator.com/item?id=46927513

Points: 1

# Comments: 0

Hey everyone,

I've built a source code graphRAG for Java/Kotlin project agentic analysis and development. It is built on top of jQAssistant with a detailed knowledge graphRAG in Neo4j.

You can check out the code here: https://github.com/2015xli/jqassistant-graph-rag

What it can do:

* "What's the main purpose of the com.example.auth package?" * "Show me the call chain leading to the processPayment method." * "What services use the UserRepository class?" How it works:

1. Graph Creation: It uses jQAssistant and Java/Kotlin source file parsers to analyze your code's structure, dependencies, and relationships. It essentially builds graph overlays for a source code tree and build artifact tree. 2. GraphRAG Enrichment: It then enriches the graph and generates summaries from individual methods and classes all the way up to packages and the entire project. Embeddings are generated for the summaries to facilitate semantic query. 3. MCP server and Agent: It exposes the graphRAG capabilities through an MCP server and an example coding agent. You can use them to accomplish complex tasks. Other design features:

* Modular design that can be easily adapted to new graphRAGs for other languages. * Parallelized summarization process and summary cache management to save the cost in money and time. The project is still a work in progress, but I'd love to get your feedback. Thanks for taking a look

Btw, I also built a source code graphRAG for C/C++ development at https://github.com/2015xli/clangd-graph-rag.

Comments URL: https://news.ycombinator.com/item?id=46927460

Points: 1

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Article URL: https://mccue.dev/pages/2-6-26-python-competitor

Comments URL: https://news.ycombinator.com/item?id=46927441

Points: 3

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Article URL: https://www.mauriciopoppe.com/notes/tmux-to-zellij/

Comments URL: https://news.ycombinator.com/item?id=46927429

Points: 1

# Comments: 1

I'm curious how you all are going beyond AI-powered editors (Cursor, Claude Code, etc.) and vibe coding to meaningful accelerate your workflows and improve output quality using specialized agents.

There's a lot of talk about decomposing work into sub-agents with specific responsibilities, but not a lot of specifics (unless I'm looking in the wrong places). I'd love to hear concrete examples of how you are actually doing this in practice.

What specialized agents have you built and what's each one responsible for? (e.g., code review agent, test generation agent, integration validator, design critic) How are you wiring them together? Are you using frameworks, custom scripts, or API orchestration?

What's your handoff strategy between agents? How do you ensure they work cohesively instead of creating inconsistencies?

How do you maintain quality and catch issues that might slip through? (testing, integration problems, design coherence, etc.)

What unexpected benefits or challenges have you encountered with your approaches?

Comments URL: https://news.ycombinator.com/item?id=46927410

Points: 1

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Article URL: https://signoz.io/blog/otel-baggage/

Comments URL: https://news.ycombinator.com/item?id=46927400

Points: 1

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Article URL: https://davmail.sourceforge.net/

Comments URL: https://news.ycombinator.com/item?id=46927388

Points: 1

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Article URL: https://github.com/sqlmodel/sqlmodel

Comments URL: https://news.ycombinator.com/item?id=46927362

Points: 1

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OP here. We built Tharos because we were tired of "security theatre" tools that produce read-only reports.

Tharos is an open-source security engine written in Go. Key features:

Polyglot: Scans Go, Python, JS/TS (AST-based + Regex). Interactive: tharos --interactive opens a TUI to fix issues one-by-one. CI-Ready: Returns strict exit codes for blocking builds. Visual: HTML reports and rich terminal UI. Repo: https://github.com/chinonsochikelue/tharos Docs: https://tharos.vercel.app

Would love feedback on the rule engine and the TUI ux!

Comments URL: https://news.ycombinator.com/item?id=46927353

Points: 1

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Article URL: https://simonsafar.com/2024/win32_lights/

Comments URL: https://news.ycombinator.com/item?id=46927347

Points: 1

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Article URL: https://www.ibli.com/IBLI%20OnePagers%20The%20Plays%20Summarized.pdf

Comments URL: https://news.ycombinator.com/item?id=46927343

Points: 1

# Comments: 1

Article URL: https://pydantic.dev/articles/the-logs-i-never-read

Comments URL: https://news.ycombinator.com/item?id=46926829

Points: 1

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Article URL: https://idratherbewriting.com/blog/bakhtin-collapse-ai-expressive-writing

Comments URL: https://news.ycombinator.com/item?id=46926812

Points: 1

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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!

Comments URL: https://news.ycombinator.com/item?id=46926807

Points: 1

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Article URL: https://github.com/user19870/cppsp

Comments URL: https://news.ycombinator.com/item?id=46926788

Points: 1

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