Weave ads

Weave Router sits inside your existing Claude Code, Cursor, or Codex workflow and routes every prompt to the right model in real time. No code changes, no quality drop. Teams like PostHog, Robinhood, and Reducto are cutting token spend ~70% with no slowdown in output.

Introducing Weave: X-ray vision into your AI codings stack effectiveness. Measure the ROI of each token you spend across Crusor, Claude, Codex and more. As teams roll out Claude Code, Cursor, Codex, and the growing pile of AI copilots behind them, the question isn't "should we use AI?" anymore. It's "which of these tools is actually paying for itself, and how do we know?" That's why we built Weave. One place to see: → Spend across Claude Code, Cursor, Codex, and every other AI coding tool your team uses → Cost per output. What you're actually paying per unit of AI-generated code, per tool → Cost per engineer, per team, per repo → Trends over time, so you can tie AI investment to engineering output instead of guessing Engineering leaders deserve the same visibility into AI spend that they already have into cloud spend. No more digging through five separate billing dashboards. No more surprise invoices at the end of the quarter. No more "are we actually getting value from this?" in every leadership meeting. If you're scaling AI across your engineering org, you need to be measuring it. Get set up in 5 minutes. Loved by Robinhood, PostHog, Reducto, and thousands more.

Struggle to measure developer productivity in 2026?

Struggle to measure AI Coding ROI in 2026?

One Spott engineer delivers the output of 12 average engineers! Here's HOW... 𝗦𝗽𝗼𝘁𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿: - Macbook M5 Max (64 GB Ram) - Split keyboard + No mouse (Neovim) - 4 screens - 6 agents in parallel on Superset - 60 hour work week - In office culture 𝗬𝗼𝘂𝗿 𝗮𝘃𝗲𝗿𝗮𝗴𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿: - Macbook M3 (16 GB Ram) - Keyboard and mouse - 2 screens - Just discovered Opus 4.6 - 40 hour work week - Remote work --- Notes --- - This all wasn't possible without AI, the software engineer job completely changed - We measure our engineering output by Weave (they built a platform to quantify engineering productivity) - Yes we use AI everywhere. No, it's not vibe coding. No one here has ever opened Lovable. Our engineers understand every line that ships. - For the first time, our hardware was holding us back - we needed to get more RAM to power all the parallel work we can do thanks to LLM's - The full set up costs $10.000 and AI expense is $2.000 per month per engineer, but that's nothing compared to 12 salaries - When prospects ask how we built an all-in-one platform, essentially building multiple companies in one. This is the explanation https://lnkd.in/d4mS7sYG - Measure code output with Weave

Our engineers spent 2K/person last week... 𝟭𝟬𝟮𝗞/𝗬𝗘𝗔𝗥 𝗣𝗘𝗥 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥! I initially freaked out but then I checked our output and it matched up. For Day 4 of launch week, we're releasing AI cost optimization intelligence: a complete breakdown of your ROI across every AI tool your team is running. Here's what it does: → Output per AI dollar by tool or person → Identify which tool is giving the greatest return → Benchmarked against 500+ companies 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 The best teams in our network generate 4X more output per AI dollar than the worst. The difference isn't budget it's tool selection and how they're being used. See exactly what's working and what's bloat with Weave - https://lnkd.in/eTaqPgXX