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Agentic Development Guide

Series hub for the Agentic Development field journal — 19 lessons from 23,479 AI coding sessions.

Live site: withagents.dev/posts/post-01-series-launch Field journal entry: withagents.dev/posts/post-01-series-launch


Featured in Agentic Development Blog — Post #1

Related Post

Featured in the Agentic Development Blog series — Post #1: 4,500 AI Coding Sessions — What I Learned


A deeply technical blog series on building production software with AI coding agents at scale.

Over 42 days, across 27 projects and 23,479 Claude Code sessions generating 11.6GB of interaction data, I discovered patterns for agentic development that changed how I build software. This repository indexes 14 unique companion repositories — each grounded in real code, real terminal output, and real problem-solving from actual development sessions.

18 posts. 14 working companion repos. Zero fabricated examples.


Quick Stats

Metric Value
Blog posts 18
Companion repos 14 unique
AI coding sessions 23,479
Human-initiated 4,534
Agent-spawned 18,945
Development days 42
Projects 27
Tool invocations 256,000+

Companion Repositories

Post Repo Description
01 agentic-development-guide Meta-repo, series overview
02 multi-agent-consensus Python, 3-agent unanimous gate voting
03 claude-code-skills-factory Skills + validation framework
04 claude-ios-streaming-bridge Swift, 5-layer SSE bridge
05 claude-code-ios Swift, iOS patterns compendium
06 auto-claude-worktrees Python, parallel worktree factory
07 shannon-framework Claude Code plugin, 4-layer enforcement
08 ralph-loop-patterns Python, hat-based execution loops
09 session-insight-miner Python, session log mining pipeline
10 stitch-design-to-code Node.js, design tokens + Stitch MCP
11 reponexus Spec execution framework
12 claude-mem-architecture Python + SQLite, observation store
13 sequential-thinking-debugging Python, 84-step root cause analysis
14 multi-agent-merge-orchestrator Python, 35-worktree conflict-free merge
15 claude-code-skills-factory Skills anatomy + devlog-pipeline
16 shannon-framework Plugin hooks + enforcement
17 claude-code-monorepo TypeScript SDK examples + CLI scripts
18 claude-code-monorepo SDK vs CLI decision framework

Post Topics

# Title Core Insight
01 Series Launch 23,479 sessions overview — agents read 80%, write 20%
02 Multi-Agent Consensus 3-agent unanimous voting eliminates false confidence
03 Functional Validation 642 blocked test files — real UI validation only
04 iOS Streaming Bridge 5-layer SSE architecture for SwiftUI
05 iOS Patterns 982 sessions of Swift patterns compendium
06 Parallel Worktrees 194 agents, zero merge conflicts via file ownership
07 Prompt Engineering Stack 7 layers of redundant enforcement
08 Ralph Orchestrator Hat-based execution loops with convergence detection
09 Session Mining 696MB log pipeline extracting patterns
10 Stitch Design-to-Code 21 screens from design tokens to working UI
11 Spec-Driven Development YAML specs to multi-agent execution
12 Cross-Session Memory SQLite observation store beats amnesia
13 Sequential Thinking 84-step debugging chain for root cause
14 Multi-Agent Merge 35 worktrees, topological sort, zero conflicts
15 Skills Anatomy SKILL.md files as structured agent protocols
16 Claude Code Plugins Hooks + MCP enforcement layer
17 CLI to SDK Evolution Bash scripts to autonomous builder
18 SDK vs CLI Framework Decision framework for agent architecture

Functional Validation

Every companion repo passes platform-appropriate validation:

Platform Method What It Proves
Swift swift build SPM resolves deps, all source compiles, types align
TypeScript tsc --noEmit All imports resolve, types check, no dead references
Python import <module> Package structure correct, exports work, no import crashes

Publishing

Blog: site-rho-pied.vercel.app


About

Written by Nick Krzemienski — March 2026.

Built entirely with Claude Code, validated through the same agentic development patterns described in the series.

Every code snippet in this series comes from real production sessions. No fabricated examples, no hypothetical architectures, no made-up metrics.


License

MIT

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10 deeply technical blog posts on agentic development patterns — from 8,481 AI coding sessions over 90 days. Real code, real diagrams, real lessons.

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