All use cases
Coding AI agent use cases
Posts and repositories filed under coding by keyword. The directory is collected once a day from public sources, with no model in the loop.
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Posts and repositories filed under coding by keyword. The directory is collected once a day from public sources, with no model in the loop.
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During the dark ages of AI, when Opus 5 was incomprehensible and Codex Ultra was burning all tokens within a day, I decided to give open-source agents and models a try. What I saw was that a lot of the tools I tried were terminal-first, and desktop apps were less common. Additionally, I felt that lately a lot of the agents apps are slowly trying to become “superapps”. They keep adding more and more features that imo are not always useful and make the UI quite heavy and complex. This motivated me
Built from scratch for the Meta Global AI Developer Hackathon 2026 (Indie track) — agent orchestrator demo on Meta, Gemini, and local Ollama models, with live evaluation harness. Building period: Oct 27 – Nov 4, 2026.
Ragentic is a production-grade AI knowledge workspace. It unifies scattered data—from PDFs and YouTube to entire GitHub repos—into a single, queryable intelligence layer. Built with a self-correcting agentic architecture, it dynamically routes queries, evaluates faithfulness, and explicitly cites sources to eliminate hallucinations.
Self-hosted web console for running AI coding agents (Claude Code, Codex, Copilot, Antigravity, Cursor, Kiro, OpenCode) as a managed fleet: isolated per-user workspaces, git/SVN working copies, scheduling and usage accounting.
Run stateful AI coding agents on a dense, warm process-manager runtime — sessions resume exactly where they left off.
Author, generate, validate and govern AI agent rules, skills, plugins and MCP configuration across 52 coding assistants. Review with verified model evidence, evaluate skills, lock and sign dependencies, and publish bundles. CLI, MCP server and Go API.