Use python3 as the canonical command name course-wide (#104) (#105)
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This commit was merged in pull request #105.
This commit is contained in:
2026-06-23 20:25:05 -04:00
parent 7f439212ac
commit 95e5911957
102 changed files with 380 additions and 378 deletions
@@ -330,7 +330,7 @@ That's the entire client/server loop, end to end, with zero code you wrote. Now
> contents so I can read it."*
Then open the copied file yourself and read it. (It reuses `tasks.py` and shares the same
`tasks.json`, so anything it changes shows up in `python cli.py list`.) The whole server is two
`tasks.json`, so anything it changes shows up in `python3 cli.py list`.) The whole server is two
tools:
```python
@@ -411,14 +411,14 @@ That's the entire client/server loop, end to end, with zero code you wrote. Now
the way you'd verify any runtime effect, by reading the *state*, not the repo:
```bash
python cli.py list # the new task is there, because the server wrote the same tasks.json
python3 cli.py list # the new task is there, because the server wrote the same tasks.json
cat tasks.json # the raw state the server changed, end to end
```
The AI just changed real state in a real system through a tool call. Notice what you did *not*
reach for: `git diff`. `tasks.json` is deliberately gitignored (Module 2's `.gitignore` treats it
as generated runtime state, not source), so `git diff` stays empty here, and that's correct, not a
bug. The proof the task list changed is the live state (`python cli.py list` / `cat tasks.json`),
bug. The proof the task list changed is the live state (`python3 cli.py list` / `cat tasks.json`),
not version control; runtime data the app owns is exactly the kind of thing you keep *out* of
history. No copy-paste, no script you ran by hand, no pasting `tasks.json` into a chat. That's
"hands."
@@ -477,7 +477,7 @@ The caveats, and one of them is large enough that it gets its own module.
connected with `list_tasks` and `add_task` available.
- You asked the AI a question and it answered by **calling a tool** against the live system, and you
asked it to add a task and then **verified the change outside the AI** by reading the runtime state
(`python cli.py list` / `cat tasks.json`), not `git diff`, because `tasks.json` is deliberately
(`python3 cli.py list` / `cat tasks.json`), not `git diff`, because `tasks.json` is deliberately
gitignored (Module 2).
- You can explain the client/server model in one breath (*servers expose tools/resources/prompts;
the client (your agentic tool) discovers and calls them on the AI's behalf*) and why "it's a
@@ -15,11 +15,11 @@ This is the running example for **Module 1** (where you feel the copy-paste prob
## Run it
```bash
python cli.py add "read module 1"
python cli.py add "set up my editor"
python cli.py list
python cli.py done 0
python cli.py list
python3 cli.py add "read module 1"
python3 cli.py add "set up my editor"
python3 cli.py list
python3 cli.py done 0
python3 cli.py list
```
Requires Python 3.10+ (it uses `list[Task]` style type hints). No third-party packages.
@@ -1,8 +1,8 @@
"""Tiny command-line front end for the demo task app.
Run it:
python cli.py add "write the lesson"
python cli.py list
python3 cli.py add "write the lesson"
python3 cli.py list
State is kept in tasks.json next to this file. It's intentionally minimal; the point of this app
is to be a realistic-but-small thing you change with an AI, not a product.
@@ -31,7 +31,7 @@ def save(tlist: TaskList) -> None:
def main(argv: list[str]) -> int:
tlist = load()
if not argv:
print("usage: python cli.py [add <title> | list | done <index> | count | delete <index>]")
print("usage: python3 cli.py [add <title> | list | done <index> | count | delete <index>]")
return 1
command = argv[0]
@@ -11,10 +11,10 @@ Setup (once):
pip install "mcp[cli]"
Drop this file into your tasks-app folder, next to tasks.py and cli.py (it reuses them, and shares
the same tasks.json, so a task the AI adds through this server shows up in `python cli.py list`).
the same tasks.json, so a task the AI adds through this server shows up in `python3 cli.py list`).
Sanity-check that it starts (it will sit waiting for a client to talk to it; Ctrl-C to stop):
python tasks_mcp_server.py
python3 tasks_mcp_server.py
You don't normally run it by hand, though. Your agentic tool launches it for you; see the lab.
"""