Report · marked 25 Aug 2026

microsoft/generative-ai-for-beginners

Ready for an agent to work in without hand-holding.

Jupyter Notebook · 118,550 stars · 12,160 files · branch main

88 /100 A

Instructions 27/27Whether the repo tells an agent how to behave before it starts guessing. Full marks.Setup 16/20Whether an agent can install the project and get it running without a human. Losing marks on environment config.Verification loop 22/25Whether an agent can check its own work. This is the category that most decides whether agent output is trustworthy. Losing marks on tests exist and static type checking.Context economy 15/20Whether the repo fits in a context window, or fights it. Losing marks on repository weight.Navigability 10/10How quickly anything new can orient itself. Full marks.

Higher is better. Accent marks what is costing you most.

Fix these first

Environment config

Add a .env.example listing every variable with a safe placeholder value. It's the cheapest possible fix and it unblocks the whole first run.

Repository weight

Large binaries and vendored trees slow every operation an agent performs. Git LFS or a separate assets repo keeps the working tree navigable.

Static type checking

A type checker gives an agent an error message instead of a runtime surprise. It's the second-fastest feedback loop after the compiler.

The full marking

Every deduction below names the file or setting it came from.

Instructions 27/27 A+

Whether the repo tells an agent how to behave before it starts guessing.

✓Agent instruction file 12/12

AGENTS.md is present, which is the format the most tools read.

✓Instruction quality 12/12

Specific enough that an agent can act on it.

12,286 characters, a workable length

names the actual commands to run

uses headings, so an agent can skim it

includes copyable code blocks

✓README as an entry point 3/3

README has a clear getting-started section.

Setup 16/20 A-

Whether an agent can install the project and get it running without a human.

✓Deterministic install 6/6

package-lock.json pins the dependency tree.

Found package-lock.json

✓Discoverable commands 6/6

Commands are declared where an agent will look for them.

package.json scripts (convert)

✗Environment config 0/4

Nothing documents the environment this needs. An agent will get a runtime error it can't diagnose.

Add a .env.example listing every variable with a safe placeholder value. It's the cheapest possible fix and it unblocks the whole first run.

✓Pinned runtime version 2/2

The language runtime version is pinned.

Found .python-version

✓Reproducible environment 2/2

.devcontainer/devcontainer.json gives a known-good environment.

Verification loop 22/25 A

Whether an agent can check its own work. This is the category that most decides whether agent output is trustworthy.

✗Tests exist 6/8

4 test files against 43 source files.

e.g. tests/conftest.py, tests/test_api_utils.py, tests/test_env_utils.py

✓Test command is discoverable 7/7

An agent can find and run `pytest`.

✓Continuous integration 4/4

7 GitHub Actions workflows define what "passing" means.

✓Lint and format rules 3/3

.eslintrc.json encodes the house style.

✗Static type checking 2/3

Type checking is configured, but not in strict mode.

A type checker gives an agent an error message instead of a runtime surprise. It's the second-fastest feedback loop after the compiler.

Context economy 15/20 B+

Whether the repo fits in a context window, or fights it.

✓No committed build output 6/6

No generated directories committed.

✓.gitignore hygiene 3/3

.gitignore covers 80 patterns.

✓File sizes fit in context 6/6

No source file is large enough to crowd out a context window.

✗Repository weight 0/5

About 6635MB checked out. Large enough that cloning and searching are both slow.

Large binaries and vendored trees slow every operation an agent performs. Git LFS or a separate assets repo keeps the working tree navigable.

Here is your AGENTS.md

Drafted from what is actually in this repository: the install command from your lockfile, the commands you already declare, your real directory layout. Anything marked TODO needs a person. Save it at the root as AGENTS.md.

AGENTS.md — drafted for microsoft/generative-ai-for-beginners

# AGENTS.md

21 Lessons, Get Started Building with Generative AI 

## Setup

```
npm ci
```

## Commands

```
npm run convert
```

## Layout

- `06-text-generation-apps/`         11 source files
- `08-building-search-applications/` 9 source files
- `05-advanced-prompts/`             4 source files
- `09-building-image-applications/`  4 source files
- `shared/`                          4 source files
- `tests/`                           4 source files

## Conventions

- Tests live alongside the code they cover, following `tests/conftest.py`.
- CI defines what passing means. See `.github/workflows/code-quality.yml`, and keep it green.
- TODO: add the two or three conventions a newcomer always gets wrong here.

---

Drafted by agentreadme.com from what is in this repository. Everything marked TODO
needs a human. Check it in as AGENTS.md at the root.

Open the raw markdown or curl -o AGENTS.md agentreadme.com/draft/microsoft/generative-ai-for-beginners.md

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