I have made AI coding reliable at team scale.
Trellis is a built-in AI coding harness that turns the huge system prompt you would normally put in CLAUDE.md, AGENTS.md, or .cursorrules into a progressive wiki of specs, tasks, workflows, and journals that agents only load when needed. This saves 90%of token usage on session start
It also gives AI the ability to memorize your progress across platforms (Claude Code, Codex, Cursor, etc) and condense coding specs so your AI-generated code across sessions can finally follow the same standard. https://t.co/euxWjjSgKC
Huawei released KVarN, a KV-cache compression method for LLMs
It delivers 3-5x more context length, beats FP16 throughput, and keeps FP16 accuracy.
One flag in vLLM. Zero calibration.
Hot take: vibe coding is just what programming always felt like for people who were good at it. flow state, intuition, pattern matching. Engineers just never had tools that matched the speed of thought before.