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Cohort Session 5 Plan and Review
How is the work planned, boarded and reviewed when a model writes most of the code?
Part of the Cohort Kit. Ninety minutes. The first of three sessions on running delivery: by the end the room has a board shaped for agentic work, a review policy by risk band with the queue arithmetic behind it, and has seen what a four-day review queue does to a team.
Pre-reading (about 40 minutes)
- How to run an agentic AI project — the whole of running delivery in one lesson
- Bolts vs sprints — planning when the model writes the code
- A board for agentic work — the columns, the limits, and the two columns most boards lack
- Cut delivery from months to weeks — where the time actually goes
- Review AI code by risk — review routed by the risk of the action, never by the size of the change
Bring. The bolt plan from session 3. The team's current review rules, if any are written down, and a rough count of pull requests per week and reviewers.
You will leave with. A board design, a review policy by risk band, and the queue arithmetic that justifies it to whoever asks why senior engineers are not reviewing everything.
| Minutes | Block | Do this | Material |
|---|---|---|---|
| 0–10 | Recap | What is a bolt's definition of done? Which two columns does an agentic board add? What decides the review band: size or action? | — |
| 10–35 | The idea | The bolts picture, then the Day 60 episode read aloud: nine pull requests, a four-day queue, two reviewers who cannot read any faster. Then the review queue calculator live, with the episode's numbers, so the room sees the queue fall when review is routed by band | Bolts vs sprints · Day 60 · the review queue · Review queue calculator |
| 35–65 | Exercise | Pairs play the review bottleneck simulation, one decision at a time, and record which options they chose. Then B5 · queue arithmetic under a review policy on the team's own pull-request and reviewer counts | The review bottleneck · B5 · How to review by risk band |
| 65–80 | Decision | The room writes the review policy: three bands, what puts a change in each, who reviews each and how fast. Then draws the board: columns, limits, and where the golden-set check sits | Templates · engineering · How to cut sprints into bolts |
| 80–90 | Close | Homework named. One sentence each: what is the current queue, in days, and what would the band policy make it? | — |
- "Every change needs a senior review" is the position the room starts from. The queue arithmetic is what moves it. Do B5 on the team's real numbers; a four-day queue that becomes a one-day queue on the whiteboard is persuasive in a way the lesson is not.
- Band by action, not by size. Somebody will propose lines-of-code thresholds. The ladder picture on the frameworks page is the answer: four hundred lines of help text cannot move money, three lines in a refund cap can.
- The simulation's bad paths are the teaching. Encourage pairs to take one option they suspect is wrong and read the consequence. That is cheaper than learning it on Day 60.
- Ten-minute version: the Day 60 episode, then B5 on the team's numbers.
Set up the board with the agreed columns and limits, and move the first three bolts onto it. Write the review policy into the repository where reviewers will see it. Session 6 needs the golden set column to exist.
Session 6 · Prove and ship — how accurate it must be, how that is proven with a sample size, and how it reaches production without a leap. Back to Session 4.
This wiki is the connective layer. The repository is canonical and versioned; these pages are the cross-surface maps and the notes that change too often to live in a reviewed file. Anyone can edit — see Editing this wiki.
▶ Start here · 55 lessons, on the site ↗
- Getting started · 2
- Agentic PDLC fundamentals · 9
- Methods decoded · 7
- Running delivery · 13
- By role · 9
- Teams and organisation · 4
- Practice · 4
- Interviews and careers · 7
The method
The Agentic PDLC
The Eight Loops
Gates & Governance
The Evidence Pack
The journey · end to end
Product manager
Solution architect
Engineering lead
QA lead
DevOps & platform
The method · by role
Product manager
Solution architect
Engineering lead
QA lead
DevOps and platform
Sponsor
How to
Run an NFR workshop
Design an agent on paper
Build, buy or borrow
Cut sprints into bolts
Review by risk band
Prove the bar
Control the token bill
Hold the security boundary
Run a missing-control postmortem
Reference
Mental Models
Glossary
Formulas & Calculators
Decision Trees
Scenario Library
Exercises & Answers
Anti-Patterns
Sources & Confidence
Where do I find…?
The 16 modules
- Agentic Foundations
- LLM Intuition and the AWS Bridge
- Amazon Bedrock Essentials
- Amazon Bedrock Agents
- Agent Builder, Knowledge Bases and Guardrails
- The Agent Loop: No Framework to Strands
- Strands Foundations: Tools, Memory and MCP
- Multi-Agent Patterns with Strands
- LangChain and LangGraph
- LLM Memory Mechanics
- RAG, OpenSearch and LiteLLM
- Amazon Bedrock AgentCore
- A2A and A2UI: Agent Interoperability
- Agentic QA and Evaluation
- End-to-End Production Pipeline
- Agentic Product Lifecycle
Learning paths · Field guide
Study Plans
Eight sessions
Living notes
Error Index
Community Answers
Field Notes
Model & Region Notes
Cost Log
Scoreboard 🧪
The project
Roadmap
Editing this wiki
Maintainer Runbook
📘 The manual · live
🛫 Ninety Days, the simulator
🧰 The workbench
👔 For leadership
🧠 Mental models
Templates · Prompts
Frameworks & acronyms
The repository · Setup
Pinned discussions
Discussion map — where to post what
Exercise & lab index
Simulator Arena — get a lab graded
Pitch an idea
All discussions →