Skip to content
View qte77's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report qte77

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
qte77/README.md

qte77

Goal-driven development with AI agents — from specs to merged PRs across dev and office repos. RAPID generates specs, Ralph implements via TDD, Polyforge and Office-forge orchestrate across repos, issues sync cross-repo, progress traces back to goals.

This ecosystem connects a goal artifact through spec generation, autonomous implementation, cross-repo coordination, and traceability — end to end.

Repository Landscape

Repository Landscape

Toolchain Layers

Toolchain Layers

Topics

  • Agentic Software Development, Autonomous Coding
  • Self-Evolving Agents, Compound Learning
  • Multi-Repo Orchestration, Cross-Repo Issue Sync
  • AI Agent Evaluation, MAS Benchmarking
  • Goal-Driven Lifecycle Management, OKR Traceability
  • GitHub Actions, CI/CD Automation (REGISTRY → OBSERVE → TRANSFORM → ORCHESTRATE → DISTRIBUTE → IMPLEMENT)
  • Claude Code Plugins, MCP Integrations
  • Agent UI (AG-UI/A2UI), Voice (TTS/STT)
  • Robotics, Bio-Lab Automation
  • Inductive Priors, Automatic Differentiation
  • Data Centric vs Model Centric
  • QML, Barren Plateaus

Posts

Tools

Python  Pytorch  Jupyter  Kaggle  Linux  Bash  Git  Git  Docker  Kubernetes  Azure  Azure  AWS  Google Cloud 

TODO

  • Kaggle Playgrounds
  • Kaggle Competitions
  • Codewars Python
  • AdventOfcode

Pinned Loading

  1. agentic-market-research-to-gtm agentic-market-research-to-gtm Public

    Stop Guessing. Start Dominating. - Automated market intelligence for AI startups that refuse to fail

    Makefile 2

  2. Agents-eval Agents-eval Public

    A Multi-Agent System (MAS) evaluation framework using PydanticAI that generates and evaluates scientific paper reviews through a three-tiered assessment approach: traditional metrics, LLM-as-a-Judg…

    Python 2 1

  3. context-engineering-template-legacy context-engineering-template-legacy Public template

    This project aims to implement a template for context engineering with coding agents.

    Makefile 11 1

  4. gha-dirtree-to-readme gha-dirtree-to-readme Public

    Copy directory tree into Readme.

    Python

  5. gha-ai-changelog gha-ai-changelog Public

    Update CHANGELOG.md with AI Action

    Makefile

  6. SegFormerQuantization SegFormerQuantization Public

    e2e SegFormer quantization eval pipeline

    Jupyter Notebook