📰 Dev.to · Alberto Nieto

turboquant-vllm started on Molmo2 only. v1.3.0 validates seven model families — after rewriting five Triton kernels and teaching the cache about sliding window

Build a container with turboquant-vllm baked in, serve a vision-language model with 3.76x KV cache compression, and verify it works — one Containerfile, one fla

First TurboQuant implementation validated on vision-language models. pip install, one flag, 3.76x KV cache compression.

Wrong documentation degrades AI coding accuracy by 22%. docvet 1.14 adds bidirectional verification to catch docstrings that don't match the code.

The problem: one inspector, one language docvet checks whether your Python docstrings are...

Install adk-secure-sessions, swap one import, and verify your agent's session data is encrypted at rest — start to finish in under 5 minutes.

Five words in, three paragraphs out — and the agent scored 2x better. Here's how evolutionary optimization finds prompts you'd never write yourself.

Wire docvet's MCP server into your editor. Your AI agent gets structured docstring quality checks — no CLI parsing needed.

Copilot, Claude Code, Cursor — they all read your docstrings to understand your code. When those...