Zed
@zed.dev
about 2 months ago Read the new blog post to learn more about sandboxing in Zed's Agent.
zed.dev/blog/sandbox...
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Read the new blog post to learn more about sandboxing in Zed's Agent.
zed.dev/blog/sandbox... 🚀 Zed v1.14 is out! Zed's Agent now sandboxes its `terminal` and `fetch` tools by default. The sandbox prevents agents from writing outside project directories, modifying `.git`, or accessing the network unless you grant permission.
Early customers are already using Research Agent to prioritize indications, shape clinical strategy, design trials, develop laboratory methods, inform market entry, and strengthen patent strategy. Read the launch post and see examples of Research Agent in action: elicit.com/blog/introd... We created BioDecisionBench, a benchmark evaluating LLMs on reasoning failures in high-stakes pharma decisions. Elicit highlights more key considerations for decisions (76.7% coverage in Elicit Smartest mode vs. 68.8% for Claude Opus 5 Max). Read the eval blog: elicit.com/blog/biodec.... Capability 5: Knowledge that compounds over time
Improve each decision with Projects that keeps sources, context, instructions, and outputs connected in a single knowledge base. Capability 4: Transparency by default
Trust and defend every decision with transparent methods trail and sentence-level citations. Capability 3: Decision-ready outputs
Move from research to decisions in a single workflow by turning evidence into fully cited reports, tables, analyses, visualizations, slides, and documents. Capability 2: Diverse data sources
Make decisions based on the full picture by synthesizing evidence across scientific literature, clinical trials, patents, regulatory and commercial sources, the web, and your own internal data. We built the Research Agent around five key capabilities:
Capability 1: A harness with reasoning principles
Reason with greater confidence with built-in models trained on BioDecisionBench, a benchmark designed to evaluate reasoning quality and handle uncertainty around decisions in pharma. Today, we’re taking the next step toward our mission with the launch of the Elicit Research Agent, an AI environment built for high-stakes decisions.
You can use the Research Agent today at elicit.com or access it through API (docs.elicit.com) to bring its capabilities into your own workflows. Sean's session is a workshop in the Build with Netlify series. The full lineup is at www.renderatl.com/sessions An agent fumbles a task against your service and the instinct is to blame the model. Usually the problem is yours: a slow endpoint, or a tool description that invites the wrong call. At RenderATL, Sean Roberts will score a real project live with AXIS, the open-source agent experience framework.
The full session lineup, including Jack's, is at www.renderatl.com/sessions Jack Herrington thinks TanStack should be your entire web platform, and he's bringing that argument to RenderATL. He'll show TanStack Start for full SSR, TanStack AI for realtime chat and code mode, and TanStack DB for realtime data with any database. All of it is open source and deploys anywhere.
You can browse the full session lineup, including Nahrin's, at www.renderatl.com/sessions At RenderATL, Nahrin Jalal will build and deploy an app from scratch in 30 minutes using Agent Runners. Her session covers the parts people actually get stuck on: effective prompts, agent context, and connecting the right tools. Everyone walks out with something live in production.
true story, ran a race tonight with the team name “Modena pigeons” and won best team name
Nowhere near as easily, and with several caveats With previous projects we’ve found the native tls crate to be more effective for this need
That's just a small part of 18.19! Read more here:
github.com/atuinsh/atui... We've migrated our TLS backend from rustls to native-tls, meaning Atuin now uses your operating system's certificate store. This fixes atuin for self-hosted servers behind self-signed or internal CA certificates, and on corporate networks with TLS-intercepting proxies
Previously, atuin update lived in a separate atuin-update binary installed alongside Atuin. It's now part of the main binary, and lays the groundwork for automatic updates in a future release.
If you're running an old config, switch to this with atuin config set daemon.enabled true atuin config set daemon.autostart true atuin config set search_mode "daemon-fuzzy"
We've replaced the search with frizbee, a SIMD-accelerated fuzzy matcher that benchmarks meaningfully faster than our previous engine (nucleo) for our workload. Results are now ranked primarily by match quality, with frecency (how often + how recently you ran a command) breaking ties
atuin v18.19 is out now! 🐢✨ - search is more than 5.2x faster - self-signed certs and system cert stores just work - atuin update is a built-in command Get the latest with `atuin update`!