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aiguideAI-Native SDLC Playbook

AI-Native SDLC Playbook L1: When Code Generation Is No Longer the Bottleneck

Claude Academy's opening lesson identifies the core paradox: AI accelerates code generation, but review, testing, and deployment don't keep pace. The bottleneck shifts from 'not writing fast enough' to 'not reviewing fast enough.' The AI-native SDLC fix isn't more AI-generated code — it's embedding AI into every stage where bottlenecks now live.

#claude-code#sdlc#claude-academy#ai-native#governance
tech

AI-Native Agent 2026：從 Harness Engineering 到 Skill Engineering 的變革

2026 年 AI Native Agent 時代的核心變化：從 Harness Engineering 到 Skill Engineering，工程師角色從執行者轉向評判者，三個階段演進與五大關鍵技能。

#ai-native#agent#harness-engineering#skill-engineering#2026#coding-agent
aiguide

Lessons from the Trenches: What AI Native Teams Must Get Right

Not everyone should use a coding agent to modify code directly. AI Native teams need interface specs, test-first development, monorepo, security guardrails, human-in-the-loop, and token budget controls. Building an agent platform layer on top of coding agents and clearly redefining developer roles is the right path forward.

#ai-native#coding-agent#spec-driven-development#monorepo#ci-cd#code-review#agent-platform#security#observability#git-worktree#adr#human-in-the-loop#cost-management#model-selection#developer-role#failure-handling