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ai guide

Integrating AI Agents into Your Development Workflow: A Five-Phase SDLC Breakdown

Agentic AI is not just autocomplete — it is an AI system capable of autonomously executing multi-step tasks. This article breaks down the five phases of the SDLC, explaining where to plug in agents at each phase, how to progress from CLI tools to full-pipeline automation, and the most valuable external resources to track right now.

#agentic-ai#sdlc#coding-agents#github-actions#claude-code#spec-driven-development#ai-workflow
ai guide

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