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Strands Shell: Give your agent a shell without giving it keys to your machine

github.com
9 分·作者 siegers·26天前·0 评论

New in Kiro Web: Build with Spec, GitLab, and More

kiro.dev
5 分·作者 siegers·上个月·1 评论

Agent Toolkit for AWS

github.com
5 分·作者 siegers·上个月·0 评论

How we contain Claude across products

anthropic.com
6 分·作者 siegers·2个月前·0 评论

Introducing Kiro Web: Build, delegate, and steer right from the browser

kiro.dev
4 分·作者 siegers·2个月前·0 评论

What We Learned from One Year of Building Production Agents

strandsagents.com
2 分·作者 siegers·2个月前·0 评论

HyperFrames lets AI agents compose videos by writing HTML, CSS and JavaScript

hyperframes.heygen.com
5 分·作者 siegers·2个月前·0 评论

Supabase Feature Preview: RLS Tester

github.com
2 分·作者 siegers·3个月前·0 评论

Show HN: Readox, playlist-style read aloud extension for articles, PDFs and docs

chromewebstore.google.com
4 分·作者 siegers·3个月前·2 评论

Show HN: Readox – Turn web pages and PDFs into a playable reading queue

readox.ai
4 分·作者 siegers·3个月前·0 评论

One Method Was Using 71% of CPU. Here's the Flame Graph

jvogel.me
11 分·作者 siegers·3个月前·2 评论

Show HN: Tama96 – A virtual pet for your desktop, terminal, or AI agent

tama96.com
5 分·作者 siegers·3个月前·0 评论

A month of OpEx quick wins

jmduke.com
3 分·作者 siegers·4个月前·0 评论

Somewhere Between Prompt and Context Engineering

xiegerts.com
2 分·作者 siegers·4个月前·0 评论

Java is fast, code might not be

jvogel.me
228 分·作者 siegers·4个月前·249 评论

Show HN: Agentpng – turn agent sessions into shareable images

agentpng.dev
4 分·作者 siegers·4个月前·1 评论

Hit Your 1 Rep Max with AI

xiegerts.com
3 分·作者 siegers·4个月前·0 评论

Kiro: DeepSeek, MiniMax, and Qwen now available as open weight model options

kiro.dev
6 分·作者 siegers·5个月前·1 评论

Show HN: Workflow automation builder for saving website data

addtosheets.com
4 分·作者 siegers·6个月前·0 评论

Gemma Scope 2: open suite of tools for language model interpretability

deepmind.google
2 分·作者 siegers·7个月前·0 评论

评论

siegers
·3个月前·讨论
Hi! Yes, the premium voices are Kokoro. I’m only exposing the English voices right now because the rest of the pipeline around them is English-first and custom, especially pronunciation/G2P, QA, and timestamp awareness. I’d like to expand that over time, but I don’t want to overpromise multilingual support before the surrounding stack is ready. So I'm taking it one language at a time based on demand and feedback.

AI summaries are currently generated remote, not local. Those currently leverage gpt-4o-mini. TTS and OCR are on-device and summarization is the cloud-backed feature.
siegers
·3个月前·讨论
I like this approach and that it's so flexible and approachable. My nit for the site would be to explain it a bit better - it's a bit hard to grok with everything going on until I went to the repo. There's also opportunity for non-tech users here just using the agent skill but I'm not sure they'll understand the use if they read through the site.

I had made a skill for something similar to use just HTML5, Canvas and JavaScript, and export the video to MP4 (https://github.com/siegerts/skill-canvas-video).
siegers
·3个月前·讨论
Agree. I keep effort max on Claude and xhigh on GPT for all tasks and keep tasks as scoped units of work instead of boil the ocean type prompts. It is hard to measure but ultimately the tasks are getting completed and I'm validating so I consider it "working as expected".
siegers
·3个月前·讨论
I enjoy switching back and forth and having multi-agent reviews. I'm enjoying Codex also but having options is the real win.
siegers
·3个月前·讨论
Part 2 of 3 in the Java Performance Optimization series.
siegers
·4个月前·讨论
Also, just created an agent skill to help with finding/exporting the data:

`npx skills add siegerts/agent-transcript`

https://github.com/siegerts/agent-transcript