eventually, they fell back to rust.

there's a lesson here: subset languages are fine for experiments and small projects, but they're rarely the right choice for production software.

...and C still can't be replaced. it's still the language of choice for mission-critical systems and low-level problem solving.

https://developer.nvidia.com/blog/train-small-orchestration-...

Comments URL: https://news.ycombinator.com/item?id=48590204

Points: 5

# Comments: 2

"Ultimately, if more companies treated the framework as an extension of the application, it would result in higher resilience and stability. Investment in Rails ensures your foundation will not crumble under the weight of your application. Treating it as an unimportant part of your application is a mistake and many, many leaders make this mistake." https://github.blog/engineering/architecture-optimization/bu...

bitflippin...

And i dont know why you wanted me to give you all my permissions?

This project violates Claude Code's Terms of Service by automating Claude to create an unattended chatbot service that responds to third-party messaging platforms (WhatsApp, and what you add ...).

  The exact issues:

  1. Automated, unattended usage - The system runs as a background service (launchd) that automatically responds to WhatsApp
  messages without human intervention (src/index.ts:549-574)

  2. Building a bot service - This creates a persistent bot that monitors messages and responds automatically, which violates restrictions on building derivative services on top of Claude

  3. Third-party platform integration - Connecting Claude to WhatsApp (or other messaging platforms) to create an automated
  assistant service isn't an authorized use case.

  The README itself reveals awareness of this issue at line 41:

  **No ToS gray areas.** Because it uses Claude Agent SDK natively with no hacks or workarounds, using your subscription with your auth token is completely legitimate (I think). No risk of being shut down for terms of service violations
  (I am not a lawyer).

  The defensive tone ("I think", "I am not a lawyer") indicates uncertainty about legitimacy. While using your own credentials doesn't automatically make automated bot services compliant—Anthropic's TOS restricts using their products to build automated chatbot services, regardless of authentication method.

  The core violation: transforming Claude Code into an automated bot service that operates without human intervention, which is explicitly prohibited.

https://kagi.com/smallweb

Concept: use Claude Code as the primary agent, and have it call models like GLM 4.6 to offload routine or automatable tasks, minimizing Claude's token consumption. Orchestrate models such as GLM 4.6, Gemini 2.5 Pro, Kimi K2, Qwen-Coder, and other open or paid API-accessible models to distribute work intelligently.

Think of it as a grep-like tool where, instead of running a grep command, the system delegates the search or transformation to other LLMs and executes there. For trusted models (e.g., GLM 4.6), returning only a summary of actions is sufficient, while the detailed changes are applied directly to code and persisted.

I’m looking for a framework that coordinates multiple models similar to how Claude Code uses subagents.

Comments URL: https://news.ycombinator.com/item?id=45613823

Points: 2

# Comments: 2

What's included:

- 19 always-on models with both UI and API access

- LoRA fine-tuning support (FP8 precision, up to rank-64)

- Embedding models at no extra cost

- Standard: $20/month (135 msgs/5hrs), Pro: $60/month (1,350 msgs/5hrs)

Technical specs:

- Always-on models: No quantization (full precision)

- On-demand models: BF16 precision (FP8 for Jamba-based models only)

- LoRAs: FP8 precision, rank-8 to rank-64 support

- On-demand GPU pricing: 80GB at 3¢/min, 48GB at 1.5¢/min, 24GB at 1.2¢/min

- On-demand context limit: 32k tokens

Complete always-on model list:

DeepSeek: R1, R1-0528, V3, V3-0324, V3.1 (all 128k)

Meta Llama: 3.1-405B/70B/8B, 3.3-70B (128k), 4-Maverick-17B (524k), 4-Scout-17B (328k)

Others: Kimi-K2 (128k/256k), GPT-OSS-120B (128k), Qwen2.5-Coder-32B (32k), Qwen3-235B variants (256k), Qwen3-Coder-480B (256k), GLM-4.5 (128k)

Additional features:

- LoRA support for Llama 3.1/3.2 base models

- Embedding model: nomic-ai/nomic-embed-text-v1.5

- Any HuggingFace model available on-demand

Links: https://synthetic.new/ | With referral: https://synthetic.new/?referral=9oxapskWLeOrDT5

Comments URL: https://news.ycombinator.com/item?id=45147742

Points: 1

# Comments: 1