After 14 months of running vLLM 0.6 in production for local code generation tasks, we’ve migrated 100% of our local LLM workloads to Ollama 0.5—and our p99 cold start time dropped from 4.2 seconds to 1.1 seconds, with 40% lower peak memory usage across 12 developer workstations. 📡 Hacker News Top Stories Right Now Ghostty is leaving GitHub (1871 points) Before GitHub (298 points) How ChatGPT serves ads (188 points) We decreased our LLM costs with Opus (50 points) Regression: malware reminder on every read still causes subagent refusals (161 points) Key Insights Ollama 0.5 delivers 3.8x faster first-token latency for 7B parameter code models vs vLLM 0.6 vLLM 0.6’s tensor parallelism overhead makes it unsuitable for single-GPU local workstations Reducing local LLM memory footprint by 3.2GB per instance saves $1.2k/year per developer in hardware upgrade costs By Q3 2025, 70% of local code LLM workflows will use Ollama or equivalent lightweight runtimes over general-purpose inference servers Conventional Wisdom…