Report · marked 25 Aug 2026
microsoft/AI-For-Beginners
An agent can work here, but it will waste turns finding its footing.
Jupyter Notebook · 66,955 stars · 13,703 files · branch main
60
/100
B-
Instructions
27/27Whether the repo tells an agent how to behave before it starts guessing. Full marks.Setup
5/16Whether an agent can install the project and get it running without a human. Losing marks on deterministic install and discoverable commands.Verification loop
4/25Whether 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 test command is discoverable.Context economy
15/20Whether the repo fits in a context window, or fights it. Losing marks on repository weight.Navigability
8/10How quickly anything new can orient itself. Losing marks on written documentation.
Higher is better. Accent marks what is costing you most.
Fix these first
01
Tests exist
This is the single highest-leverage change on this page. Agents don't need full coverage, they need one command that goes red when they break something. Even a handful of tests on the core path converts blind editing into a feedback loop.
02
Test command is discoverable
Add a `test` script or a `test` target that runs the whole suite with no arguments. The convention is the interface — an agent tries `npm test` and `make test` before it tries reading your CI config.
03
Discoverable commands
Declare the handful of commands that matter in package.json scripts, a Makefile, or a justfile. Naming them turns guesswork into a lookup.
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.
9,619 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 5/16 D
Whether an agent can install the project and get it running without a human.
✗Deterministic install
3/6
Only requirements.txt, which pins loosely at best.
Commit the lockfile your package manager generates. Without it, an agent's install and your install are different builds, and 'works on my machine' becomes unfalsifiable.
✗Discoverable commands
0/6
No declared commands. An agent has to infer how to build and run this from the file tree.
Declare the handful of commands that matter in package.json scripts, a Makefile, or a justfile. Naming them turns guesswork into a lookup.
–Environment config
n/a
Not applicable — this reads as a library, with no environment to configure.
✗Pinned runtime version
0/2
No pinned runtime version.
Add a .nvmrc, .python-version, or equivalent so the agent's toolchain matches yours.
✓Reproducible environment
2/2
.devcontainer/devcontainer.json gives a known-good environment.
Verification loop 4/25 F
Whether an agent can check its own work. This is the category that most decides whether agent output is trustworthy.
✗Tests exist
0/8
No test files found. An agent has no way to know whether its change broke anything.
This is the single highest-leverage change on this page. Agents don't need full coverage, they need one command that goes red when they break something. Even a handful of tests on the core path converts blind editing into a feedback loop.
✗Test command is discoverable
0/7
There's no obvious way to run the tests. Even if tests exist, an agent won't reliably find the entry point.
Add a `test` script or a `test` target that runs the whole suite with no arguments. The convention is the interface — an agent tries `npm test` and `make test` before it tries reading your CI config.
✓Continuous integration
4/4
2 GitHub Actions workflows define what "passing" means.
✗Lint and format rules
0/3
No linter or formatter config. Style is tribal knowledge, so agent output will drift from yours.
A formatter config is the cheapest way to stop reviewing whitespace in agent diffs. It moves style from opinion to a command.
✗Static type checking
0/3
No 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.
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 200 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 1394MB 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 12 Weeks, 24 Lessons, AI for All! ## Setup ``` pip install -r requirements.txt ``` ## Commands ``` # TODO: nothing declares a build or test command, so an agent has to guess. # This is the single most valuable section of this file. Fill it in. ``` ## Layout - `etc/` 11 source files - `lessons/` 8 source files - `examples/` 3 source files - `binder/` 1 source file ## Conventions - There are no tests yet. An agent has no way to check its own work here. - CI defines what passing means. See `.github/workflows/codeql.yml`, and keep it green. - TODO: add the two or three conventions a newcomer always gets wrong here. ## Gotchas - No lockfile is committed, so an install here may not match what CI produced. --- 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/AI-For-Beginners.md
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