Learn more about how we built MacroscopeBench and how it works here: macroscope.com/blog/macrosco…

Production is the worst place to find out if your code reviewer is good enough MacroscopeBench measures it first, against real bugs that shipped, just not in your repo. It is now the only trusted benchmark for code review on @FireworksAI_HQ SII Index fireworks.ai/specialized-int…

Featured on SII: @doximity @mercor @harvey, @depthfirstlabs, @novee_security, @genspark_ai, @SierraPlatform, @DecagonAI, @ProximalHQ, @Macroscope, @RogoAI, @traversal_ai fireworks.ai/index

Today we're launching the Specialized Intelligence Index (SII): one destination for real-work benchmarks across industries, built by the teams that use them every day. Hear from Fireworks co-founder @the_bunny_chen on the importance of specialized benchmarks:

Today we are introducing Murmur, our cloud agent orchestration system. Here's an early preview of Murmur:

A noisy code reviewer gets ignored. Flag too many non-issues and engineers tune it out. @Macroscope got the control they needed with the Fireworks Training API to train a model using their own advantages and loss to improve the signal-to-noise ratio. Build your own frontier: fireworks.ai/training

Deep codebase understanding means an agent that (without being told): > knows your feature branch exists > knows the bug lives there > targets the fix correctly Fix bugs from anywhere with Macroscope

We 🚢 a TON of new features this week ↓ → Ask Macroscope to create PRs from Slack → Webhooks to invoke Macroscope from anywhere → Code Review validates your PRs against linked @Jira or @linear issues → New native integrations w/ BigQuery, @LaunchDarkly, and @PostHog → Code Review: "AI Prompt" for easy copy/pasting to your coding agent ...and more

Both Anthropic and OpenAI dropped new models today. For some teams, that means hours/weeks/days of re-tuning prompts. For us, it means hitting "run." We wrote about why we stopped writing prompts: macroscope.com/blog/we-stopp…

When a computing environment is generally capable enough as AI is, it's not new software capabilities that make it tailored to your needs, but the data. Every company and every person will one day have a magical library that personalizes their computing experience. We're building Pacific to pull that future forward.

Every company and every person will one day have a magical library that personalizes their computing experience. We're the team building it. Meet Pacific:

Today we're releasing Macroscope Code Review v3. Based on our internal benchmarks: → Detects up to 3.5x more bugs that would cause real production damage (data loss, security breaches, crashes, etc). The kind you'd block a PR over. → Precision increased to 98% (up from 75%) which means significantly fewer false positives. → Leaves 22% fewer comments overall, including 64% fewer nitpicks in Python and 80% fewer in TypeScript.

Delightful demo moment that would have been inconceivable a year or two ago: While doing an onboarding yesterday, I noticed a bug in our web app. Mid-meeting I posted the bug in Slack flagging one of our devs and asking @Macroscope to make a linear ticket while + investigate and fix in parallel. 15min later Macroscope had made the ticket, found the issue, fixed it in a PR and validated no bugs in code review. End to end the fix was merged, tested (via live vercel preview link) and deployed to prod within 20min-- before the meeting was even over. Inadvertently turning a lemon into lemonade and a made for a great demo. What a time ...

Read more about the results from our latest internal benchmarks on Code Review v2 on our blog blog.macroscope.com/blog/opu…

Today we’re releasing v2 of Macroscope Code Review, powered exclusively by @claudeai Opus 4.5. It’s the biggest performance upgrade we’ve shipped to Code Review since launch.

signup for a 2-week free trial of Macroscope (with unlimited code reviews) here macroscope.com/code-review

we’ve been testing claude opus 4.5 as the core model powering Macroscope's code review. the overall balance of cost, latency + performance (precision/recall) is the best we’ve seen, so we’ve started rolling it out to some customers in beta today.

Tune into this week’s episode of the Generative Now Podcast to hear more from Macroscope Co-Founder and CEO Kayvon Beykpour: piped.video/watch?feature=sh…

One of the biggest challenges for growing tech companies is keeping teams aligned as they scale. That’s where Lightspeed-backed @Macroscope comes in and why we’re proud to be leading their $30M Series A. Founded by @kayvz, Joseph Bernstein, and rob_bishop, Macroscope gives teams real-time visibility into their code with AI-powered review and “code walking,” which maps out how everything connects and explains it in a way that’s clear, even for non-coders.