Brian Zhan
@brianzhan1
Investing in early stage AI @CRV. Seed/A: @Reflection_AI, @SkildAI, @DynaRobotics, @LanceDB, Lepton (acq NVIDIA), @VoyageAI (acq MongoDB), @SDFLabs (acq dbt)
Qwen3-Coder is most agentic coding model to date: True MoE: 480B params (only 35B active/token) = Faster speed, low RAM cost. Frontier quality, with low budget. Massive Context: Native 256K tokens → 1M via YaRN. This enables it to ingest entire entire monorepos + PRs +…
Big congratulations to @KaranVaidya6 and @GanatraSoham and the whole @Composio crew on closing a $29M round! Composio is turning “static prompts” into a living skill graph—every agent learns from every edge‑case fix, so intuition compounds across the network. This is the infra…
Agents aren’t reliable. They don’t learn from experience. At @composiohq, we provide skills that evolve with your agents @lightspeedvp gave us $25M to make agents usable
Agents aren’t reliable. They don’t learn from experience. At @composiohq, we provide skills that evolve with your agents @lightspeedvp gave us $25M to make agents usable
We asked @MishaLaskin (Co-founder, CEO at @reflection_ai) about leaving a big lab for a startup: "Every frontier lab that's been built was resource constrained compared to the big incumbents." "We think there's an opportunity for the new kind of AlphaGo to be built which is…
Engineers spend 70% of their time understanding code, not writing it. That’s why we built Asimov at @reflection_ai. The best-in-class code research agent, built for teams and organizations.
Asimov: @reflection_ai 最新推出的代码研究助手，专为工程团队打造，目标是帮助工程师更高效地理解和管理大型代码库，解决工程师在理解代码上花时间过多的痛点！ 背景：工程师的时间都去哪儿了？ 在大型代码项目中，工程师花了 70% 的时间在理解和设计代码上，真正写代码的时间只有…
Excited to see @reflection_ai ship Asimov, the code-research agent. Why it matters: - Engineers waste ~70% of their week re-reading code, not writing it. - Most AI tools chase code generation and choke on real-world repos. - Lost context = stalled roadmaps and runaway burn.…
Plenty of brittle + narrow tooling in this wild west era of codegen can be characterized—not unfairly, and with just a hint of sarcasm—as off-the-shelf LLMs whose untreated amnesia only worsens an already-acute addiction (kink?) to github READMEs. We're a far cry from Fred…
Engineers spend 70% of their time understanding code, not writing it. That’s why we built Asimov at @reflection_ai. The best-in-class code research agent, built for teams and organizations.
🎯 @reflection_ai team has entered the chat! Punching with the most powerful strategy, at the level of the frontier labs. Our two core beliefs: - the most impactful problem is code comprehension, not just code generation - the most performant products are built by those who…
Engineers spend 70% of their time understanding code, not writing it. That’s why we built Asimov at @reflection_ai. The best-in-class code research agent, built for teams and organizations.
Andrej recently pointed out that vibecoding speed can’t explode to infinity because humans take time to read code But what if code comprehension were accelerated 10x? Great to see a cracked ex-gdm/oai team working on this problem, congrats on the launch!
Engineers spend 70% of their time understanding code, not writing it. That’s why we built Asimov at @reflection_ai. The best-in-class code research agent, built for teams and organizations.
Today we launch Asimov. Asimov is our code research agent that is best-in-class in codebase comprehension. It is built for teams, built for enterprises, and built to remember. We use it everyday to accelerate our velocity and streamline distributed ops. Link below to sign up…
Code understanding agents are kind of the opposite of vibe coding -- users actually end up with *more* intuition. It's also a problem ripe for multi-step RL. Contexts are huge, so there's large headroom for agents that "meta" learn to explore effectively. Exciting to push on!
Engineers spend 70% of their time understanding code, not writing it. That’s why we built Asimov at @reflection_ai. The best-in-class code research agent, built for teams and organizations.
really cool product launch by @MishaLaskin and the team at @reflection_ai! we're currently more bottlenecked by code understanding than code generation
Engineers spend 70% of their time understanding code, not writing it. That’s why we built Asimov at @reflection_ai. The best-in-class code research agent, built for teams and organizations.
Very cool release by Misha, Ioannis and team at Reflection! Can’t wait to try it.
Engineers spend 70% of their time understanding code, not writing it. That’s why we built Asimov at @reflection_ai. The best-in-class code research agent, built for teams and organizations.
Earlier this year we co-led @mishalaskin, @real_ioannis and the @reflection_ai team's Series A. Today we're thrilled to see this team introduce Asimov to the world.
Excited to see @reflection_ai ship Asimov, the code-research agent. Why it matters: - Engineers waste ~70% of their week re-reading code, not writing it. - Most AI tools chase code generation and choke on real-world repos. - Lost context = stalled roadmaps and runaway burn.…
Excited to see @reflection_ai ship Asimov, the code-research agent. Why it matters: - Engineers waste ~70% of their week re-reading code, not writing it. - Most AI tools chase code generation and choke on real-world repos. - Lost context = stalled roadmaps and runaway burn.…
Engineers spend 70% of their time understanding code, not writing it. That’s why we built Asimov at @reflection_ai. The best-in-class code research agent, built for teams and organizations.