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Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings (1 minute read)

Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings (1 minute read)

Epicure is a family of three sibling skip-gram ingredient embeddings retrained from scratch on a multilingual recipe corpus.
The Trust Problem With AI Agents
Apr 29 | Blog

The Trust Problem With AI Agents

Why developers should not entirely rely on agents, and what you can do about it.

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Beyond the Prompt: Claude Code (23 minute read)
May 28 | Tech

Beyond the Prompt: Claude Code (23 minute read)

Many people treat Claude Code as a chatbot or fancier autocomplete. It should be treated instead as an autonomous agent that needs guardrails. Claude Code needs to be trained, configured, and operated properly. Tuning the directory structure, skills, agents, plugins, and MCPs turns Claude Code into a teammate rather than just a tool.
Bumblebee (GitHub Repo)
May 28 | Infosec

Bumblebee (GitHub Repo)

Bumblebee, released by Perplexity, is a read-only inventory collector that turns scattered on-disk developer-tool metadata into structured NDJSON component records, parsing lockfiles, package-manager install metadata, editor and browser extension manifests, and MCP host configs across npm, PyPI, Go, RubyGems, Composer, and other ecosystems on macOS and Linux endpoints. Shipping as a single static Go 1.25+ binary with zero non-stdlib dependencies and three scan profiles (baseline, project, and deep), it answers a narrow supply-chain response question by flagging exact (ecosystem, name, and version) matches against a supplied exposure catalog, making it well-suited for fast fleet-wide checks when responders already know the compromised package from an advisory. The tool deliberately avoids executing package managers or reading source files and does not emit credential values from MCP env blocks, though teams should still validate the maintained threat_intel catalogs (assembled with Perplexity Computer) before relying on them for incident response.
How's Linear so fast? A technical breakdown (26 minute read)
May 28 | Dev

How's Linear so fast? A technical breakdown (26 minute read)

Linear, the issue tracking app, has fast performance thanks to a local-first architecture where the database lives in the browser for near-instant updates, syncing to the server in the background. This is done through aggressive code splitting, asset preloading, granular observables, and a keyboard-centric design with GPU-accelerated animations to minimize all forms of latency.

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