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Graphify: A Technical Guide to Codebase Knowledge Graphs
Build and query a local knowledge graph for an AI coding assistant.
Read MoreAI-DLC: Frequently Asked Questions
Frequently asked questions about AI-DLC — harnesses, compaction-survivability, stage routing, knowledge intake, installation and multi-repository layouts.
Read MoreAI-DLC: AI-Driven Development Life Cycle
AI-DLC (AI-Driven Development Life Cycle) is a methodology and deterministic engine that turns AI coding assistants into structured, auditable software-delivery workflows from one harness-neutral core.
Read MoreAI Artifact Report Cards: Grading What AI Builds
A high-level vision for a portal that grades AI-generated artifacts against reference context using configurable evaluation policies, and emits a report card with per-category scores and a thin human-review loop.
Read MoreOpen Knowledge Format (OKF)
Practical guide to portable, trustworthy knowledge bundles for AI agents.
Read MoreHermes Agent: From Zero to Expert
A complete learning path for Hermes Agent — architecture, each component deep-dived from beginner to expert, and a working Telegram personal assistant bot with voice calls.
Read MoreThe AI-DLC Approach to Fintech Software Development
How AI-DLC reshapes fintech software delivery, autonomy and accountability.
Read MoreSoftware Engineering in Fintech: Lifecycle, Personas and AI Practice
The full SDLC, every fintech persona and AI practice mapped across the lifecycle.
Read MoreContext Engineering Patterns
A comprehensive catalog of 30 context engineering patterns for managing LLM context windows.
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