ayush488-glitch/agentic-swe-kit

llmops-ai-agents

Use when designing, building, evaluating, or operating AI agent systems in production — agent architecture, orchestration patterns, RAG pipelines, evaluation, observability, guardrails, and domain-specific deployment.

원문 언어: 영어

agentic-swe-master

Use when starting, reviewing, or building any production-grade software or AI-native system. Orchestrates the full 20-phase production lifecycle, routes to the right domain skills at each phase, and guides the agent through every engineering layer from…

원문 언어: 영어

data-systems-engineering

Use when designing, evaluating, or debugging data-intensive systems — storage engines, replication, partitioning, transactions, distributed consistency, batch/stream processing, or encoding.

원문 언어: 영어

distributed-systems

Use when designing, implementing, or debugging distributed services — architecture choices, consistency trade-offs, fault tolerance, coordination, naming, and security for multi-node systems.

원문 언어: 영어

engineering-mindset

Use when a coding agent must make architectural, quality, or design decisions during implementation — calibrating trade-offs, communicating honestly, and maintaining integrity across iterations.

원문 언어: 영어

modular-architecture

Use when making dependency management decisions, drawing component boundaries, applying SOLID principles, designing layered architectures, or evaluating whether a structural decision keeps options open vs. locks them in.

원문 언어: 영어

production-readiness

Use when designing, reviewing, or building production systems — architecture decisions, integration points, stability patterns, capacity planning, observability, and operations.

원문 언어: 영어

security-engineering

Security engineering principles: threat modeling, cryptography, access control, privacy, secure development, physical/operational security, and economics of trust. Covers adversarial thinking, protocol design, tamper resistance, and assurance.

원문 언어: 영어