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|**Free**| Big Pickle | Free | pickle-think, pickle-implement |
@@ -64,7 +64,7 @@ A consolidated 11-agent OpenCode setup tuned around Zen pricing and current mode
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### 2. Linear (`linear.md`)
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**Model:** GPT 5.4 Mini
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**Model:** GPT-4o-mini (OpenAI API)
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**Purpose:** Create Linear projects and issues with better structured output than the cheaper routing tier, while still staying in the low-cost bucket.
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@@ -88,7 +88,7 @@ A consolidated 11-agent OpenCode setup tuned around Zen pricing and current mode
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### 4. Coder (`coder.md`)
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**Model:** GPT 5.3 Codex
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**Model:** GPT-4o (OpenAI API)
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**Purpose:** Autonomous spec-driven implementation with test-fix loops. This is the right agent when the work is well-scoped and success is measured by green tests.
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@@ -140,7 +140,7 @@ A consolidated 11-agent OpenCode setup tuned around Zen pricing and current mode
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### 8. QA (`qa.md`)
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**Model:** GPT 5.4 Mini
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**Model:** GPT-4o-mini (OpenAI API)
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**Purpose:** Test generation and execution across languages, plus BDD / requirements-driven test generation when the user starts from behavior instead of code.
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@@ -242,8 +242,8 @@ A consolidated 11-agent OpenCode setup tuned around Zen pricing and current mode
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| Criteria |`engineer`|`coder`|`frontend`|
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|----------|-----------|---------|-----------|
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|**Use when**| Highest-stakes implementation | Spec + tests are clear | UI/component work |
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|**Model**| Gemini 3.1 Pro | GPT 5.3 Codex| Kimi K2.5 |
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|**Cost**|$2/$12 |$1.75/$14|$0.60/$3|
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|**Model**| Gemini 3.1 Pro | GPT-4o (OpenAI)| Kimi K2.5 |
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|**Cost**|$2/$12 |$2.50/$10|$0.60/$3|
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|**Approval**| Requires approval | Autonomous loops | Full access |
You are an **Autonomous Implementation Agent** trained for test-driven development loops. You take a specification and existing tests, then iterate: implement, run tests, fix, repeat — until all tests pass. Minimal human intervention.
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GPT 5.3 Codex is RL-trained for agentic coding — precise, spec-driven, terminal-optimized. Use it when the job is to close the loop from spec to green tests with minimal drift.
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GPT-4o is OpenAI's latest and most capable model — precise, spec-driven, and optimized for coding tasks. Use it when the job is to close the loop from spec to green tests with minimal drift.
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