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After struggling with Gemini for months, I think the trick to getting the most out of the model is writing a really solid personal intelligence/instructions pro

After struggling with Gemini for months, I think the trick to getting the most out of the model is writing a really solid personal intelligence/instructions prompt. The results are night and day in terms of performance.

dakolli 15d ago
slot machine addict thinks if he pushes buttons in a certain order the odds get better. In all seriousness, gemini has the best interactive planning document/orchestration. Tell it to create a plan document and work through it with it and it will preform really well(in antigravity products). But this is the case with plan modes with every model, I just think the interactive document that antigravity uses is really well thought out.
titularcomment 15d ago
Funnily enough you really do need a great prompting and SKILLS setup to use antigravity effectively in contrast to other providers which actually started benefiting from less detailed prompts over time. But I like it this way, its more customizable and much cheaper especially with a sub.
- porridgeraisin 15d ago
  agy is good for those cases where you are willing to put the effort into the harness specifically for a task or family of tasks. The full suite, with evals, monitoring, hooks, custom tools, custom verifiers, etc,. It is not good if you want a "general coding assistant" like codex or claudecode. The reality is that if you optimise a harness for a family of tasks[1], then most of these models give successful output. And there, gemini flash's speed shines. For general coding assistant, you want it to be well, general, and you use a harness without too much customisation to something specific. Here you need deeply post trained coding assistants and implementors like codex/sol or claude/opus. Gemini flash in its current form will be too happy-go-lucky if you try using it the way we all use codex and is better used in a constrained setting. tl;dr gemini flash for "LLM-aided workflows in production" is super good today. Cheap as well. [1] Stuff like this: https://antigravity.google/blog/teamwork-when-ai-becomes-a-research-partner https://antigravity.google/blog/teamwork-when-ai-becomes-a-r... https://hamel.dev/notes/llm/evals/ https://hamel.dev/notes/llm/evals/

dakolli 15d ago

slot machine addict thinks if he pushes buttons in a certain order the odds get better. In all seriousness, gemini has the best interactive planning document/orchestration. Tell it to create a plan document and work through it with it and it will preform really well(in antigravity products). But this is the case with plan modes with every model, I just think the interactive document that antigravity uses is really well thought out.

titularcomment 15d ago

Funnily enough you really do need a great prompting and SKILLS setup to use antigravity effectively in contrast to other providers which actually started benefiting from less detailed prompts over time. But I like it this way, its more customizable and much cheaper especially with a sub.

porridgeraisin 15d ago
agy is good for those cases where you are willing to put the effort into the harness specifically for a task or family of tasks. The full suite, with evals, monitoring, hooks, custom tools, custom verifiers, etc,. It is not good if you want a "general coding assistant" like codex or claudecode. The reality is that if you optimise a harness for a family of tasks[1], then most of these models give successful output. And there, gemini flash's speed shines. For general coding assistant, you want it to be well, general, and you use a harness without too much customisation to something specific. Here you need deeply post trained coding assistants and implementors like codex/sol or claude/opus. Gemini flash in its current form will be too happy-go-lucky if you try using it the way we all use codex and is better used in a constrained setting. tl;dr gemini flash for "LLM-aided workflows in production" is super good today. Cheap as well. [1] Stuff like this: https://antigravity.google/blog/teamwork-when-ai-becomes-a-research-partner https://antigravity.google/blog/teamwork-when-ai-becomes-a-r... https://hamel.dev/notes/llm/evals/ https://hamel.dev/notes/llm/evals/