penguin-harness/changelog/0.1.0/2026-07-20-readme-blog-and-docs.md

READMEs, blog, and docs site

READMEs

The repository READMEs (en/zh).

Restructure the README around the product story

The README now leads with the agents-build-agents pitch and community links, then three feature showcases (benchmark chart, one-sentence RAG demo, self-evolution), followed by changelog/blog/docs, supported models, human-first installation, a roadmap, CONTRIBUTING, a citation, and credits.

Details

• New narrative header: "With LangChain, you build agents by hand — at 1x speed. With PenguinHarness, agents build agents — at 100x." with the subtitle "A zero-code CLI and Web UI, connected to 1000+ models," plus community links (Discord / X / WeChat).
• Feature 1 "Simple and Efficient": light/dark benchmark bar charts generated from the landing benchmark data (accuracy and cost per run vs Claude Code and OpenAI Codex, all driven by DeepSeek V4 Pro), committed as assets/readme/benchmark-{light,dark}.svg.
• Feature 2 "Build an Agent in One Sentence": the RAG one-sentence prompt plus a real product screenshot captured by the new packages/landing/scripts/capture-readme-demo.mjs (same real-server + mock-LLM pipeline as the landing shots), committed as assets/readme/rag-demo-{light,dark}.webp.
• Feature 3 "Self-Evolution": copy describing the evaluate-optimize-snapshot loop with an HTML-comment placeholder for the upcoming demo video.
• New sections: Changelog / Blog / Docs links, a supported-models table (DeepSeek V4, Kimi K3, GLM 5.2, Hunyuan 3, Qwen 3.8 Max, GPT 5.5, Gemini 3.5 Flash, Claude Opus 4.8 with their providers, plus the 1000+-via-gateways note), Requirements and Installation split into "Web App — for humans" and "CLI & SDK — for agents", a Roadmap (benchmark suite release), a BibTeX citation ({PrismShadow Team}), and the license/credits footer.
• New CONTRIBUTING.md absorbs the developer content: dev commands, repo layout table, quality gates, the English-only and changelog working rules, and the README-asset regeneration notes; the README's Development section now points there.
• README.zh.md mirrors the new structure in Chinese.

Refresh the README model table against the current catalog

The supported-models table (the same eight models) becomes two columns — model on the left, the comma-separated providers it's available from on the right (per today's catalog) — and the note below now names all five OpenAI-compatible gateways.

Details

• Availability per the catalog: DeepSeek V4 in five groups, GLM 5.2 in six, Kimi K3 via OpenRouter and Qwen Pay-As-You-Go, Qwen 3.8 Max as the Token Plan preview, GPT 5.5 and Claude Opus 4.8 native + OpenRouter, Hunyuan 3 via OpenRouter, Gemini 3.5 Flash native.
• The gateway note lists OpenRouter, Fireworks AI, SiliconFlow, Qwen Token Plan, and Qwen Pay-As-You-Go. README.zh.md mirrors.

Split badge rows and showcase the finished RAG app

The site badges (Website / Docs / Blog) and the community badges (Discord / X / WeChat) now sit on separate lines. The one-sentence example becomes the condensed claude-code-docs configuration-expert prompt (the chat page's example task carries the full version), and the demo image shows the FINISHED PRODUCT — the generated docs-expert app with cited clickable sources and example questions (assets/readme/rag-app-<lang>-<theme>.webp, per-language shots; the zh README shows the Chinese prompt and shots) — instead of the PenguinHarness chat UI. The mockup renderer (rag-app-mockup.html + rewritten capture-readme-demo.mjs, no server needed) comes along so the assets stay regenerable.

Blog and docs site

Blog posts and the docs site.

Announcement bar, AMD Fireworks-credits blog post, and the GDPevo launch story

The site gains a rotating announcement bar, a new campaign post, and a launch post that finally tells the whole story.

• Announcement bar — a switchable bar above the nav (auto-rotates every 6s, paused on hover, prev/next chevrons): entry 1 announces Kimi K3 and Qwen 3.8 Max availability (links to the models docs), entry 2 the $50 Fireworks credits campaign (links to the new post). Bilingual, on every page, scrolls away with the page.
• New blog post fireworks-credits-amd (en/zh) — announces the AMD AI Developer Program partnership bringing free Fireworks redemption codes: step-by-step application (join ADP, Member Perks, form with Fireworks AI selected, review, coupon email, redeem + API key, screenshots adapted from WhatGhost's guides with credit), then a three-step PenguinHarness setup (install, Fireworks group bulk-key + presets + speed test, run).
• Launch post rewrite (en/zh) — now opens with the GDPevo origin story: self-evolution was validated in the team's GDPevo Benchmark (linked), and bringing it to everyone is why PenguinHarness exists. The rest mirrors the README: three numbered reasons with the benchmark chart and RAG demo images (served from the site's own /blog-assets/), the security contract, the models table with the any-OpenAI-protocol note, install/usage steps, the roadmap (benchmark suite, desktop app, Windows), and a closing community call-to-action (Discord / X / WeChat / GitHub).

The launch post settles on the numbered three-reasons structure

The launch blog post (en/zh) keeps the GDPevo origin story and the numbered "Why PenguinHarness" structure — ### 1 better on complex tasks at lower cost (benchmark chart + tables), ### 2 one-sentence Agent-builds-your-app (prompt + demo shot), ### 3 self-evolution — followed by the security contract, the models table, a Web-only "How to use it" (install + penguin web + Models page; no CLI commands), the roadmap, and the community call-to-action.

The launch post shows the finished RAG app with the condensed prompt

The one-sentence build section now uses the condensed claude-code-docs configuration-expert prompt (Chinese in the zh post) and the finished-product screenshot of the generated docs-expert app (per-language, served from /blog-assets/), replacing the PenguinHarness chat capture.