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AI Solutions Architect / Engineer at Nearform/McKinsey
- Manchester, UK
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04:52
(UTC) - http://matt-harrison.com
- in/mtharrison
- https://stackoverflow.com/users/1402929/matt-harrison
Highlights
Stars
A skill to stop your coding agent from burying the answer. ADHD-friendly output.
Typed, pure-HTTP TypeScript SDK for your own Tesco grocery account β search, basket, nutrition, delivery slots, and orders over plain fetch. Browser only for login + payment.
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
MacOS Web Server written entirely in ARM64 assembly
IntegreSQL manages isolated PostgreSQL databases for your integration tests.
IntegreSQL client for managing isolated PostgreSQL databases in integration tests
JSON/JSONC formatter that stays compact: similar objects align like a table, short values stay inline.
Discover our Python package designed for algorithmic trading. It brings ICT's smart money concepts to Python, offering a range of indicators for your algorithmic trading strategies.
The Active Reliability Layer for AI Agents. Catch failures, teach fixes, and automate reliability
TypeScript Compiler API wrapper for static analysis and programmatic code changes.
π Open Source AI for large scale open ended feedback
A full featured Thermostat for Home Assistant: presets, window, motion, presence and overpowering management
University Project, Reinforcement Learning with DQN on a modified cartpole scenario.
π Strapi is the leading open-source headless CMS. Itβs 100% JavaScript/TypeScript, fully customizable, and developer-first.
π¦ Small exercises to get you used to reading and writing Rust code!
A native gRPC client & server implementation with async/await support.
π¨π A React renderer for Three.js
Tools for concurrent programming in Rust
Rust bindings for webview, a tiny cross-platform library to render web-based GUIs for desktop applications
The Original Javascript Error Steamroller
ESC-50: Dataset for Environmental Sound Classification
Implementation for "RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content"





