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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Design notes for MyInvestPilot — an agent-friendly investment workflow system built with strategy primitives, DAG engines, validation loops, and observable decision infrastructure.
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# AI-Native System Builder: MyInvestPilot Architecture Series > **[中文版本 (Simplified Chinese)](README.zh.md)** Public architecture notes from building [MyInvestPilot](https://www.myinvestpilot.com/) — an AI-native investment system built through AI-driven development, constrained DSL design, hybrid agents, and a cost-aware solo cloud stack. ## Why This Repo Exists This repository is the external technical narrative of MyInvestPilot: design choices, trade-offs, and failures from building a production system where AI writes most implementation code. It is **not**: - a product user manual (that belongs to product docs) - an internal AI blueprint repo (used for private planning/execution) - a generic prompt cookbook The goal is straightforward: document what it actually takes to operate as an **AI-native system builder**, not just ship demos. ## The Series ### 01. Engine **[From Rule-Based Scripts to AI-Native Engines: Why I Built a Constrained DSL](docs/01_ai_native_primitives_engine.md)** How constrained IR (JSON DSL), schema-driven contracts, and deterministic execution work together for reliable decision systems. ### 02. Methodology **[Why I Stopped Writing Code: The 60/40 Rule for AI-Native Engineering](docs/02_ai_driven_development.md)** How AI-driven solo development evolved from 60/40 alignment/execution toward 90/10 in many cycles, with human quality gates still mandatory. ### 03. Agent Architecture **[The Agent Paradox: Why We Built a "Boring" Hybrid Architecture](docs/03_hybrid_agent_architecture.md)** Why we split Local Agent (flexible orchestration) and Remote Agent (deterministic async processing) instead of relying on a single autonomous agent. ### 04. Cloud Infrastructure **[Running a Multi-Vendor, Event-Driven Cloud Architecture as a Solo Builder](docs/04_solo_company_infrastructure.md)** How a multi-vendor, async-first, serverless-friendly stack supports real usage with low operational cost. ## Blog Publication A synthesized version of this series was published on the author's blog: **[How I Built an AI-Native Quantitative System](https://www.bmpi.dev/dev/ai-native-investment-system/)** — bmpi.dev This post distills the key architectural decisions across all four parts: constrained DSL design, schema supply chain, prompt evolution, and the hybrid agent paradox. ## Audience This repo is for builders working on: - AI-native application architecture - agent systems with reliability boundaries - cloud-native/serverless systems for solo teams ## About I'm Dawei ([@madawei2699](https://twitter.com/madawei2699)), an independent builder. I previously shipped [myGPTReader](https://github.com/myreader-io/myGPTReader) and [invest-alchemy](https://github.com/myinvestpilot/invest-alchemy), which later evolved into MyInvestPilot. ## License MIT
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:86b30c00d70cb880, topic:multi-agent, topic:agentic-ai, readme:autonomous agent
matched fp:86b30c00d70cb880, topic:serverless