Pi Coding Agent is a minimal terminal coding harness built by Earendil Inc. that gives large language models direct read, write, edit, and bash access to a local codebase. It runs locally, supports Anthropic, OpenAI, and local model providers, and is designed to be extended through TypeScript extensions and skills. For QA teams evaluating local… Continue reading Is Pi Coding Agent Fast Enough for Agentic QA? A Qwen3.6 MTP Benchmark
Tag: Local LLM
Why Gemma 4 QAT Struggles in Local Coding Agent Tasks
Gemma 4 QAT refers to Google’s quantization-aware versions of Gemma 4, designed to reduce memory use and improve local inference speed on developer machines. In a direct head-to-head coding-agent task using VS Code and DeepEval, Gemma 4 QAT produced structurally incomplete test code — initializing evaluation metrics without applying them correctly and omitting the required… Continue reading Why Gemma 4 QAT Struggles in Local Coding Agent Tasks
Free and Paid Ways to Run Cloud Code for Agentic Testing and QA
Agentic Testing and QA describes a testing workflow where an AI coding assistant does more than answer one-off prompts. It can inspect a project directory, reason over multiple files, propose test scaffolding, and work in a continuous loop with the engineer — rather than waiting to be prompted at each step. The practical bottleneck for… Continue reading Free and Paid Ways to Run Cloud Code for Agentic Testing and QA