Context engineering handbook for AI workflows
The problem is usually the context, not the model
Most bad AI output comes from what the model was given: too little, too much, or the wrong thing. This handbook shows how to give agents the project knowledge your team relies on, so you stop correcting the same wrong answers.
RIGHT CONTEXT, NOT MORE
INSIDE THE HANDBOOK01Why AI coding workflows break without structured context02Curating project-wide context: goals, architecture, standards03Structured planning with a dedicated planning persona04Controlled generation with builder agents and guardrails05Optimization principles and the anti-patterns to avoid
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From reading to running
Put the handbook into practice with BoldCreate
Written for
Tech leadsStaff engineersPlatform teamsAI champions
1SkillsRecord your project context in the repositoryAdd goals, architecture, and standards to .boldcreate/context in your repo.› .boldcreate/context/architecture.md
2Cloud AgentLoad relevant context for each agent taskEvery agent task starts with only the context that task needs.› context: 4 files · 3.2k tokens
3Auto modeSee which context the agent readEach pull request lists the context the agent read.› PR #1482 · context receipt
Minimum necessary context
Select context relevant to the task
Pasting the whole repo feels thorough and makes answers worse. The handbook shows how to layer goals, architecture decisions, standards, and only the relevant code, and how to prune the rest.
Illustrative example
Paste everything
Answer quality…
Engineered context
Answer quality…
Do this, not that
Four practices for managing agent context
Frequently asked questions
What is context engineering?
Context engineering means giving AI agents the project knowledge your team relies on, such as goals, architecture, and standards, so agents start from what your team knows instead of guessing. Bad AI output often comes from too little, too much, or the wrong context.
What does the context engineering handbook cover?
It’s a free PDF with five chapters. It explains why AI coding workflows break without structured context and how to curate project-wide context. It then covers planning with a dedicated planning persona, controlled generation with builder agents and guardrails, and the anti-patterns to avoid.
Who is the handbook written for?
It’s written for tech leads, staff engineers, platform teams, and AI champions who want agents to work from the same project knowledge as the team.
How does BoldCreate apply context engineering?
You add goals, architecture notes, and standards to .boldcreate/context in your repo. Every agent task then starts with only the context it needs, and each pull request lists the context the agent read.
