Gemini 3.1 Pro: A Struggling Contender in the Laravel Ecosystem

The New Model on the Block

Gemini 3.1 Pro: A Struggling Contender in the Laravel Ecosystem
I Tried Gemini 3.1 Pro in Google Antigravity

Google recently launched

within its
Antigravity IDE
, promising a significant leap in developer productivity. To see if the hype holds water, I put the model through a rigorous gauntlet: seven
Laravel
projects requiring complex API CRUD generation. While the integration feels seamless on the surface, the actual developer experience reveals a model still finding its footing in a competitive market.

Performance and Latency Issues

Speed defines the modern coding workflow. Unfortunately,

lags behind. In side-by-side testing against
Claude 3.5 Sonnet
, Google's offering took six minutes to complete a task that
Anthropic
models finished in three. The model frequently pauses to calculate small details, launching internal help tools like "PHP design help" just to scaffold basic models. This suggests a lack of deep, native training on modern
PHP
frameworks.

The Testing Gap and Agent Intelligence

One glaring omission in the initial output was the lack of automated tests. While

successfully generated models, factories, and controllers, it ignored the crucial step of verification. However, the model showed a flash of brilliance when prompted about this failure. It recognized its own "skills" via
Laravel Boost
and proactively corrected the mistake, eventually delivering 53 passing tests. This ability to discover and activate tools mid-stream is a clear positive, even if it requires manual intervention.

Reliability and Quota Hurdles

The

experience remains plagued by stability issues. Random crashes and "terminated due to error" messages interrupted the workflow multiple times. Worse, the free tier quota is incredibly opaque. After only nine minutes of work on a
Livewire
project, the system cut off access entirely. Unlike the clear usage metrics provided by
OpenAI
, Google leaves developers guessing about how much "intelligence" they actually have left.

Final Verdict: Catching Up

is currently a secondary choice for heavy-duty
Laravel
development. It feels like a product in a "catching up" phase rather than a market leader. While the
Gemini CLI
shows promise for future
Model Context Protocol
support, the current speed and reliability gaps make it hard to recommend over the more polished offerings from
Anthropic
.

3 min read