Antigravity Track
Module 40
Antigravity Track — Module 40
The Habits That Separate Good from Great: Two developers use Antigravity on the same codebase. One dispatches vague tasks, accepts diffs without reading them, and ends up debugging agent-introduced regressions. The other writes precise tasks, reviews every diff, and ships confidently. The tool is identical. The habits are not.

Best Practices

Antigravity amplifies your engineering — but it amplifies bad habits as well as good ones. These practices come from real usage patterns: what produces clean, reviewable, shippable code versus what produces a mess you spend hours unwinding.

Write Precise Tasks

The quality of the agent's output is directly proportional to the quality of your task description. Vague tasks produce vague solutions. Specific tasks — with file names, function names, expected behaviour — produce targeted, correct changes.

One Concern Per Agent

Resist the temptation to bundle multiple unrelated changes into a single task. A focused agent produces a focused diff that is easy to review. A sprawling agent produces a sprawling diff that is hard to trust.

Review Every Diff

Multi-agent does not mean less review — it means more concurrent review. An agent can be individually correct but introduce a change that conflicts with another agent's output. You are the integration layer.

Commit Frequently

Antigravity does not auto-commit. Accept agent diffs and commit immediately while the context is fresh. Small, frequent commits with clear messages make it easy to trace what each agent contributed — and to revert if needed.

Good vs Poor Task Descriptions

Antigravity — Task Composer
āœ— Poor task description
"Fix the checkout bug"
→ Agent must guess which bug
→ Agent must guess which file
→ Agent may fix wrong thing
→ Diff is hard to verify
āœ“ Precise task description
"In api/checkout.py, the calculate_total() function returns None when the cart is empty (line ~84). It should return 0.00 instead. Fix the null check and add a unit test in tests/test_checkout.py."
āœ“ File and function named
āœ“ Expected behaviour stated
āœ“ Test coverage requested
āœ“ Diff is targeted and verifiable

The Antigravity Workflow Loop

1

Write a precise task

Name the file, the function, the expected behaviour, and any constraints (e.g. "don't change the public API"). The more specific you are, the less the agent has to infer.

2

Dispatch — then do other work

While the agent runs, write the next task description, review a design document, or dispatch a second agent on an unrelated problem. Antigravity is designed for parallelism — use it.

3

Answer clarifications promptly

If an agent surfaces a question in the Manager Surface, answer it quickly. A blocked agent is a wasted thread. Keep an eye on the agent list — WAITING status means it needs you.

4

Review the diff with intent

Read the diff as you would a colleague's PR. Look for: does it solve the stated problem? Does it introduce anything unexpected? Does it have tests? Reject and redirect if not.

5

Accept and commit immediately

Accept the diff and commit with a message that attributes the change. git commit -m "fix: checkout null on empty cart (agent-assisted)". Do not batch accepted diffs — commit each one cleanly.

What to Avoid

Anti-PatternWhy It Causes ProblemsBetter Approach
Vague task descriptionsAgent guesses intent, produces irrelevant or over-broad changesName the file, function, and expected outcome explicitly
Accepting diffs without readingAgent errors compound; regressions shipRead every diff as if it's a colleague's PR
Bundling unrelated tasksSprawling diffs that are hard to review or revertOne concern per agent — keep diffs focused
Running agents on shared core filesMerge conflicts between concurrent agentsCheck for file overlap warnings before dispatching
Ignoring the clarification queueAgents stay blocked; no progressMonitor the Manager Surface — answer WAITING agents first
Letting accepted diffs pile upHard to trace which agent did what; messy git historyCommit after each accepted diff with a clear message
Using browser agent on prodRisk of accidental form submission or state mutationAlways point browser agents at localhost or staging URLs
i
Antigravity Is a Force Multiplier

A developer who writes good code and reviews carefully gets dramatically faster with Antigravity. A developer who writes sloppy specs and rubber-stamps diffs gets faster at introducing bugs. The tool multiplies what you bring to it — bring your best engineering habits.

!
You Are Still the Engineer

Antigravity agents are powerful but not infallible. They can misread intent, miss edge cases, or make individually correct changes that interact badly with other changes. Your job shifts from writing every line to reviewing every change — that is still a job that requires engineering judgement.