fruitfly.review

DesktopFly is a macOS desktop companion that places a procedural 3D fruit fly on a transparent, click-through overlay. The fly walks across window edges, grooms, sleeps, flies, and responds to cursor movement, clicks, window changes, keyboard activity, time of day, and thermal state without requiring permissions or entitlements. A separate interactive brain window displays 23,210 FlyWire neuron soma positions and live spikes. Its behavior is driven by a 1 kHz leaky-integrate-and-fire simulation of a 668-neuron circuit containing approximately 19,000 real synaptic connections. Cursor approach is converted into looming input for LC4 and LPLC2 visual neurons; escape is produced only when activity reaches the DNp01/Giant Fiber escape command neuron through the modeled synapses. Other circuit outputs drive walking speed, steering, grooming, backward movement, wing effort, escape maneuvers, arousal, and spontaneous takeoff. The loop also feeds gait rhythm to ascending proprioceptive neurons and fast cursor motion to sensory wind partners. The body geometry and sensory transduction are procedural or modeled, while the downstream connectivity and synaptic strengths come from FlyWire data. The project targets macOS 13 or later and requires the Xcode Command Line Tools. Menu-bar controls provide pausing, brain-window visibility, escape testing, movement between displays, adding or removing flies, and starting a collective startle response; the brain window can stimulate nearby circuit neurons for 400 ms. The code is MIT-licensed, while derived FlyWire data files are CC BY-NC 4.0.

Jev Review is a local-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev. It runs as a local Node.js server over MCP stdio and exposes a focused `jev_review` tool: an agent submits a task, focused diff, selected files, or repository context, and Jev returns structured per-dimension scores and confidence values for areas such as correctness, complexity, readability, modularity, changeability, testing, reliability, security, and documentation. When a previous evaluation is supplied, the plugin reports metric deltas, improvements, regressions, and weak dimensions rather than producing a blended overall score or prose diagnosis; the coding agent remains responsible for identifying causes and changing the code. It supports Claude Code, Codex, Cursor, and OpenCode, and is distributed directly from its GitHub repository rather than npm. The process keeps the API key locally and sends only explicitly supplied review context directly to the configured Jev API; it has no hosted backend, database, telemetry service, or author-operated proxy. The repository is licensed under MIT.

farol is a free, open-source CLI and GitHub Action for assessing pull-request merge risk and showing where changed code reaches. It statically compares the base and head trees using the TypeScript compiler API, go/types, and Python AST parsing, builds declaration and call graphs, and traces changed declarations to affected pages, API operations, RPC methods, jobs, scripts, and other entry points without executing the analyzed code. It combines reach, diff coverage, lint and security findings, dependency changes, and contract breaks into a 0–100 risk score with fast-track, quick-review, or careful-review guidance, then ranks files and identifies checks for the reviewer. It supports TypeScript/React, JavaScript and TypeScript backends, Go, and Python frameworks and tools, and can produce Markdown comments, JSON, or single-file HTML reports; optional Datadog traffic and error data can add operational context. farol runs locally or in CI with no account or hosted service, never sends analyzed code elsewhere, never blocks or approves merges, and is distributed under the MIT license.

Promptfoo is an AI application security and evaluation platform for testing prompts, RAG systems, agents, models, and guardrails. It can run evaluation tests with LLM-judge scoring against defined criteria and verify citations against source documents; in the described payment-rules assistant, it was used to assess answer quality and investigate apparent regressions against the underlying evidence. Its security workflows simulate context-aware attacks, including prompt injection, jailbreaks, data leaks, business-rule violations, insecure agent tool use, and toxic-content generation, and can run in development and CI/CD workflows. Promptfoo also provides automated red teaming, code scanning, MCP security testing, remediation guidance, and continuous monitoring, with integrations for AI applications, agent frameworks, CI/CD systems, and on-premises or cloud deployments.

Human Review is a local visual review tool and agent skill for editing HTML and Markdown files, reviewing localhost pages, and sending feedback to an AI coding agent. It opens a file or URL in a browser, where users can edit text and basic formatting, rearrange or remove page elements, resize or paste images, and attach comments to exact phrases, images, charts, or sections. Direct HTML edits and image changes save automatically; Markdown and localhost reviews are sent to the agent, which applies the changes to the source and refreshes the page. The tool includes CLI commands for review sessions, polling, status, and setup, plus a local server, editing and feedback SDK, browser client, Markdown renderer, and instructions for agent harnesses such as Claude Code and Codex. It runs on the user's computer without an account, cloud service, database, or API key.