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Agentic Engineering — Technical Field Manual

A consolidated quick reference for all course concepts, commands, and patterns.

1. Agent CLI Quick Reference

Claude Code

bash

claude --init                          # Project setup
claude --teammate-mode tmux            # Multi-agent teams (split panes)
claude -p "prompt" --print             # Headless execution
claude --allowedTools "Read Write"     # Constrain tool surface
claude --hooks .claude/hooks/          # Custom hooks directory

Pi Coding Agent

bash

pi -e extensions/damage-control.ts     # Security auditing
pi -e extensions/tilldone.ts           # Task discipline
pi -e extensions/coms.ts               # P2P agent communication
pi --mode rpc                          # Programmatic control (26+ commands)
pi -e extensions/agent-team.ts         # Dispatcher orchestration
pi -e extensions/agent-chain.ts        # Pipeline orchestration

OpenCode

bash

opencode run "task"                                 # Headless execution
opencode --model opencode-go/deepseek-v4-flash run   # Specific model
opencode --config ~/.grok/config.toml run             # Custom config

OpenClaw

bash

claw start --daemon                      # Always-on employee
claw do "task description"               # One-shot execution
claw schedule --cron "0 6 * * 1" --task  # Recurring task

Install Course

bash

# Windows
powershell -File install.ps1

# Linux/Mac
bash install.sh
bash install.sh security    # Single kit

2. The 6-Level Security Ladder

L0: ACIP (prompt injection defense)   — Costs nothing, blocks simple attacks
L1: safe-mode skill                   — Theatre (model can override)
L2: --append-system-prompt            — Theatre+ (model can still override)
L3: Bash blacklist hook               — Reactive (use as FLOOR)
L4: Bash whitelist hook               — Architectural (only N safelisted cmds)
L5: No bash, custom tools only        — Production-grade (bash doesn't exist)

Probability Math

python

P_failure = 1 - (1 - p)^N
# p=0.01 (1%), N=100: 63.4% chance of disaster
# p=0.001 (0.1%), N=100: 9.5%
# p=0.0001 (0.01%), N=1000: 9.5%

Damage Control — 3 Access Levels

yaml

zeroAccessPaths: [".env", "~/.ssh/", "*.pem"]     # Can't read/write
readOnlyPaths: ["package-lock.json", "node_modules/"]  # Can read only
noDeletePaths: [".git/", "Dockerfile"]             # Can modify, can't delete

3. Orchestration Patterns

Pattern	Structure	Best For	Tool
P-Thread	N agents parallel, pick best	Creative work, benchmarking	mprocs
F-Thread	N agents → Judge → Winner	Code gen, UI gen	agent-team
B-Thread	Orchestrator → Leads → Workers	Production systems	lead-agents
C-Thread	Agent → Checkpoint → Human	High-stakes work	tilldone
L-Thread	Long-running hours+	Background tasks	OpenClaw daemon
Agent Chain	Step1 → Step2 → Step3	Plan→Build→Review	agent-chain

YAML Pipeline Template

yaml

steps:
  - agent: planner
    prompt: "Create plan for: $INPUT"
  - agent: builder
    prompt: "Implement: $INPUT"
  - agent: reviewer
    prompt: "Review: $INPUT"

4. Key Formulas

Compute Advantage

CA = (Compute Scaling × Autonomy) ÷ (Time + Effort + Monetary Cost)

pass@k

pass@k = 1 - (1 - p)^k
# p=0.6 (60% single), k=3: 93.6%
# p=0.6, k=5: 98.9%

3x Cost Rule

Production cost = Prototype cost × 3.0
With retries = Prototype cost × 1.5

Cascade Routing Savings

Savings = 1 - (cascade_cost / single_model_cost)
# Typical: 66-80% savings

5. Model Pricing (per million tokens)

Model	Input	Output	Best For
Gemini 2.5 Flash	$0.15	$0.60	High-volume, simple
DeepSeek V3	$0.27	$1.10	Structured tasks
Claude Sonnet 4	$3.00	$15.00	General agentic
Claude Opus 4	$15.00	$75.00	Complex planning
GPT-5	$10.00	$40.00	Frontier reasoning

Cascade Routing Strategy

Simple retrieval → Gemini Flash ($0.15/$0.60)
Analysis → Claude Sonnet ($3/$15)
Critical decision → Claude Opus ($15/$75)
Formatting → Gemini Flash ($0.15/$0.60)

6. Verifier Confidence Ladder

Level	Meaning	Bar Color
PERFECT	Every claim verified, zero gaps	Green
VERIFIED	All passed, minor non-blocking gaps	Green
PARTIAL	No failures, significant unverifiable gaps	Orange
FEEDBACK	At least one claim failed, correction sent	Orange
FAILED	Cannot verify, escalating to human	Red

7. Lab Index

Lab	Module	Topic	Files
L1	M1	First Agent (single-tool)	starter.py, solution.py
L2a	M2	Multi-Tool Agent	starter.py, solution.py
L2b	M2	Context-Aware Agent	starter.py, solution.py
L3a	M3	Whitelist Hook (L4)	starter.py, solution.py
L3b	M3	Verifier Agent	starter.py, solution.py
L4a	M4	Agent Chain (YAML)	starter.yaml, solution.yaml
L4b	M4	Multi-Team Config	starter.yaml, solution.yaml
L5a	M5	Observability (SQLite)	starter.py, solution.py
L5b	M5	CI/CD Pipeline	starter.py, solution.py
L6a	M6	Eval Harness (pass@k)	starter.py, solution.py
L6b	M6	Cost Optimization	starter.py, solution.py
L7a	M7	Autoresearch Loop	starter.py, solution.py
L7b	M7	Meta-Agent	starter.py, solution.py

Run offline: python -c "from mock_llm import MockAnthropic; print('Mock LLM ready')"

8. Capstone Options

Project	Difficulty	Description	Reference
Brand Monitor	Intermediate	Multi-LLM brand scanning	capstone-reference/brand-monitor/
Code Review Pipeline	Int-Adv	Plan→Build→Review→Verify chain	—
Strategic Decision Board	Advanced	8-agent CEO board	ceo-agents/

9. Skill Kits (7 kits, 18 SKILL.md files)

Kit	Price	Skills	Install
Security Foundation	$49	L3, L4, L5, damage-control, sandbox	`bash install.sh security`
Multi-Agent Orchestration	$49	teams, chains, mental-model, domain-lock	`bash install.sh orchestration`
Verifier Pro	$39	builder, confidence, decomposition	`bash install.sh verifier`
Task Discipline	$29	tilldone core, progress, nudge, purpose	`bash install.sh task`
Autoresearch	$39	experiment loop, integrity, median	`bash install.sh research`
Observability	$29	tracer, cost, replay, loop-detect	`bash install.sh observability`
CEO Board	$49	11 agents + verifier + tracker	`bash install.sh board`
Enterprise	$199	All 7 kits	`bash install.sh`

10. The Universal Truth

Deterministic orchestrates non-deterministic. Code is the harness. AI is the engine. Together they're unstoppable.

Creator	Their Version
Kelsey Hightower	"Zero Token Architecture — don't waste tokens on deterministic work"
Mario Zechner	"Write architecture by hand. Let agents do the boring stuff"
Daniel Miessler	"Code Before Prompts. If bash can do it, don't use AI"
IndyDevDan	"ADW — deterministic code orchestrates non-deterministic agents"
Anders Hejlsberg	"Don't ask AI for the answer. Ask it to write a program"
Armin Ronacher	"Pi's harness layer is worth maintaining carefully because it solves hard problems"

11. Quick Reference Card

AGENT LOOP:       Think → Act → Observe → Repeat
HARNESS:          Instructions + Tools + Environment + State + Verification
CONTROL:          Context + Model + Prompt + Tools
SECURITY:         L0(ACIP) → L1(skill) → L2(prompt) → L3(blacklist) → L4(whitelist) → L5(no-bash)
ORCHESTRATION:    Dispatcher | Pipeline | P2P | P-Thread | F-Thread | B-Thread
ECONOMICS:        CA = (CS × A) ÷ (T + E + MC)    3x rule    Cascade 66-80%
EVALS:            pass@k = 1 - (1-p)^k    Cost/task    Tool call accuracy
TRUST:            "Yes, because I've engineered it" — not blind faith

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Agentic Engineering — Technical Field Manual ​

1. Agent CLI Quick Reference ​

Claude Code ​

Pi Coding Agent ​

OpenCode ​

OpenClaw ​

Install Course ​

2. The 6-Level Security Ladder ​

Probability Math ​

Damage Control — 3 Access Levels ​

3. Orchestration Patterns ​

YAML Pipeline Template ​

4. Key Formulas ​

Compute Advantage ​

pass@k ​

3x Cost Rule ​

Cascade Routing Savings ​

5. Model Pricing (per million tokens) ​

Cascade Routing Strategy ​

6. Verifier Confidence Ladder ​

7. Lab Index ​

8. Capstone Options ​

9. Skill Kits (7 kits, 18 SKILL.md files) ​

10. The Universal Truth ​

11. Quick Reference Card ​

Agentic Engineering — Technical Field Manual

1. Agent CLI Quick Reference

Claude Code

Pi Coding Agent

OpenCode

OpenClaw

Install Course

2. The 6-Level Security Ladder

Probability Math

Damage Control — 3 Access Levels

3. Orchestration Patterns

YAML Pipeline Template

4. Key Formulas

Compute Advantage

pass@k

3x Cost Rule

Cascade Routing Savings

5. Model Pricing (per million tokens)

Cascade Routing Strategy

6. Verifier Confidence Ladder

7. Lab Index

8. Capstone Options

9. Skill Kits (7 kits, 18 SKILL.md files)

10. The Universal Truth

11. Quick Reference Card