CEREBRO
machine-read, human-curated
Coding agents & LLM mechanics
- Claude Code v2.1.247 adds
SendFeedbacktool (drafts/feedbackreports) plus configurable spinner tips. - Codex 0.150.0 adds
@-mention cross-task references (read/create/message other Codex tasks from terminal); 0.150.1 fixes remote compaction to count retained images toward token budget, trimming old images first. - Qwen3.8-Flash-Next: open-weights MoE, 125B total/6B active params, early preview of Qwen4 architecture, big speed win from sparse activation.
- GLM-5.3-Flash: Zhipu's cheap flash model, $0.15/$0.50 per 1M in/out, undercutting most flash-tier competitors.
- Anthropic's AI-native SDLC playbook: six-stage dev lifecycle where line-by-line review gets replaced by something else, worth checking what.
- Reddit thread on which Claude tasks justify the most capable model, model-routing tradeoffs from practitioners, same territory as cost-aware pipeline routing.
- Reddit thread on what belongs in the agent binary vs. the system prompt, design split for agent tooling vs. prompt-encoded behavior.
- Reddit workflow for using third-party subagents in Claude Code.
- GitHub Copilot's global model policy now enforced org-wide on Business/Enterprise plans, admins control which models devs can pick.
- loveholidays case study: using Codex to push software dev access beyond engineering into the wider business.
- Simon Willison quotes Paul Dix on AI writing 1M LOC then refining it into reliable software running on millions of machines, notable because there was no oracle for correctness this time.
- acceptmarkdown.com: serve Markdown via
Accept: text/markdowncontent negotiation so agents skip nav/scripts/DOM and read prose directly, cuts context waste, needs top chatbots on board to matter.
Vibe-coding & agent skills
- browser-use/browser-use: lets agents (Claude Code, Codex, Cursor) drive a real browser, click/type/fill forms from a task description, one-shot setup prompt included.
- K-Dense-AI/scientific-agent-skills: 163 validated skills for scientific research (bio/chem/med/drug discovery), now framework-agnostic under the open Agent Skills standard, used by 175k scientists.
- ConardLi/garden-skills: curated Agent Skills collection (web design, image gen, knowledge retrieval) for Claude Code/Cursor/Codex.
Agentic SaaS
- Lovable CTO on the future of SaaS being apps agents use, not humans, pitching a "digital brain" connecting daily tools instead of conventional app UIs.
- DeployHermes: persistent agent hires with roles, memory, and skills.
- Knack MCP Server: HIPAA-compliant backend for AI builders.
- MCP-Builder.ai: fast path to wire your data into MCP tools.
- OpenComputer: "Firebase for Agents", backend-as-a-service framed for agent workloads.
- Evidence Core: live analytics dashboards built via coding agents.
- Arena Agent Mode: GitHub-integrated agent mode taking ideas to shipped PRs.
CLI/TUI & build tooling
- Tailcat: netcat-like tool riding Tailscale's WireGuard data plane without needing Tailscale's control plane, community flags vendor lock-in vs. open alternatives like netbird.
- mold: A Massively Parallel Linker: arXiv paper on the parallel linker design, community notes Wild benchmarks faster and mold's Linux-only stance blocks enterprise adoption.
Signals
- browser-use/browser-use: 🌐 Make websites accessible for AI agents. Automate tasks online with ease.
- Serve Markdown to AI Agents with Accept Headers
- Lovable CTO: The Future of SaaS Is Apps That Agents Can Use
- K-Dense-AI/scientific-agent-skills: Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 175,000+ scien…
- Anthropic published an AI-native SDLC playbook. The interesting part isn't the six stages, it's what replaces line-by-line review
- v2.1.247
- DeployHermes
- Knack MCP Server
- ConardLi/garden-skills: ConardLi's open-source Skills collection, featuring web design, knowledge retrieval, image generation, and more.
- Qwen3.8-Flash-Next
- GLM-5.3-Flash
- 0.150.1
- Evidence Core
- Arena Agent Mode with GitHub
- Workflow to use third-party subagents
- Which Claude tasks actually justify using the most capable model?
- 0.150.0
- How loveholidays is making everyone a builder with Codex
- MCP-Builder.ai
- OpenComputer
- What belongs in the binary vs. what can only live in the prompt
- Tailcat – Like netcat, but over Tailscale’s data plane
- Mold: A Massively Parallel Linker
- Quoting Paul Dix
- Global model policy generally available
Sources & citations
| Source | Fetched | In briefing |
|---|---|---|
| rss | 140 | 14 |
| hackernews | 30 | 4 |
| 25 | 4 | |
| github | 50 | 3 |
| show_hn | 40 | 0 |
| github_search | 20 | 0 |
| swipe | 17 | 0 |
| yc-rfs | 13 | 0 |
| gmail | 8 | 0 |
| yc-launch | 5 | 0 |
| seed_urls | 1 | 0 |
| crackscan | 0 | 0 |
| reddit_users | 0 | 0 |
| x | 0 | 0 |
| total | 349 | 25 |