Heavybit

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Heavybit

Heavybit

@heavybit

VC partner from Code ➡️ Company. Hands-on from Day 0 with the world’s best technical founders building the future of enterprise infrastructure.

San Francisco, CA + Remote Katılım Ağustos 2011
1.3K Takip Edilen5K Takipçiler
Heavybit
Heavybit@heavybit·
🗽🍎 Heavybit is sponsoring @devrelcon NYC next week! Portfolio founder talks + over 40 deep dives on AI tooling and the new GTM playbook. Half-off tickets ($325) with our community code: ti.to/mlh/devrelcon-… East Coast founder raising? Grab coffee with @danaoshiro.
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Heavybit@heavybit·
On episode 92 of @o11ycast, Ken and Jess (@jessitron) speak with Ray Myers (@lambdapocalypse) about building reliable AI-assisted software development workflows. The conversation covers coding agents, OpenTelemetry, formal methods, mutation testing, and why proven engineering practices remain essential even as AI transforms how software is written. hubs.ly/Q04nY76F0
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Heavybit@heavybit·
On episode 8 of Third Loop, the Progressive Delivery team sits down with Melinda Fekete to discuss FeatureOps, developer experience, and modern software delivery. The conversation covers feature flag lifecycles, runtime control, experimentation, chaos engineering, and why progressive delivery is becoming even more important in the age of AI-assisted development. hubs.ly/Q04pf1My0
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Heavybit@heavybit·
On episode 92 of @o11ycast, Ray Myers (@lambdapocalypse) joins Ken and Jess (@jessitron) to explore how observability, reliability engineering, and formal software engineering practices are becoming even more important as AI coding agents take on larger roles in development. Tune in! hubs.ly/Q04nWS890
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Heavybit@heavybit·
On episode 2 of Lab Notes, Amir Zohrenejad (@amirzo) and Hanchen Li (@lihanc02) explore the systems that make modern AI agents faster, more efficient, and better at learning from experience. They discuss KV Cache optimization, long-context inference, prompt learning, continual learning, and why better benchmarks may be just as important as larger models in advancing AI research. hubs.ly/Q04nLWQQ0
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Heavybit@heavybit·
On episode 40 of @opensourceready, @bdougieYO and @johncodes sit down with Orhun Parmaksiz (@orhundev) to discuss Ratty, an experimental terminal emulator that reimagines what the command line can become. The conversation covers AI-powered development workflows, terminal innovation, open source security, and why the terminal may be more relevant than ever in the age of AI. hubs.ly/Q04n6hVF0
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Heavybit@heavybit·
Episode 7 of Third Loop covers everything from DORA metrics and developer productivity to AI agents, feature flags, and observability. Special guest Nathen Harvey helps connect the dots between faster delivery and better outcomes. Tune in! hubs.ly/Q04mvplW0
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Heavybit@heavybit·
There's a lot happening in robotics right now: Simulation, dexterity, cloud inference, data flywheels. Amir Zohrenejad (@amirzo) and Ren Wang (@ren_wang1) break down the technologies and tradeoffs shaping embodied AI in this debut episode of Lab Notes. Tune in! hubs.ly/Q04mpFVs0
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Heavybit@heavybit·
Kubernetes clusters have become the foundation of modern cloud infrastructure, but can the control plane itself scale to the next era? Zach Smith joins @opensourceready to explain why he built Kplane and how virtualized control planes could change everything. Tune in! hubs.ly/Q04lX3Gv0
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Heavybit@heavybit·
Synthetic data has become a critical part of modern software development. On Generationship, @rachelchalmers talks with Mark Brocato about testing, privacy, AI-native products, and why realistic data can make or break software quality. Tune in! hubs.ly/Q04lPWkv0
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Heavybit@heavybit·
Physical AI is advancing quickly, but building useful robots presents a very different set of challenges than training language models. Ren Wang (@ren_wang1) joins Lab Notes to discuss the latest research and where the field may be headed. Tune in! hubs.ly/Q04mpdcS0
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Heavybit@heavybit·
On episode 40 of @opensourceready, @bdougieYO and @johncodes speak with Orhun Parmaksiz (@orhundev) about pushing the boundaries of terminal applications with Ratty and @ratatui_rs. Along the way, they explore AI-assisted software development, the growing popularity of terminal-based tools, and the challenges of securing community-driven open source ecosystems. Tune in! hubs.ly/Q04n4zK10
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Heavybit@heavybit·
The future of software delivery isn't just about writing code faster. It's about understanding users better. In episode 7 of Third Loop, Nathen Harvey shares lessons from over a decade of DORA research and explains why user-centricity matters more than ever. Tune in! hubs.ly/Q04mvVp20
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Heavybit@heavybit·
Why has robotics lagged behind LLMs? On the first episode of Lab Notes, Amir Zohrenejad (@amirzo) talks with UC Berkeley PhD student and researcher Ren Wang (@ren_wang1) about world models, data bottlenecks, and what it takes to make robots work outside the lab. Tune in! hubs.ly/Q04mq9C90
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Timothy Jordan
Timothy Jordan@timothyjordan·
I scored the 50,074 most-visited websites for how readable they are to AI agents. Not one scored "excellent." The median site is a 52 out of 100. Here is what the web looks like to an agent.
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Heavybit@heavybit·
What happens when billions (or even trillions) of AI agents need their own cloud environments? On Episode 39 of @opensourceready, Zach Smith joins Brian Douglas (@bdougieYO) and John McBride (@johncodes) to discuss Kplane, Kubernetes virtualization, and the future of infrastructure. Tune in! hubs.ly/Q04lXc5h0
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Heavybit@heavybit·
On episode 56 of Generationship, @rachelchalmers speaks with Mark Brocato about building products developers love, from Mockaroo's accidental success to Fabricate's AI-native approach to synthetic data. Tune in! hubs.ly/Q04mmRBq0
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Heavybit@heavybit·
On episode 7 of Third Loop, the Progressive Delivery team speaks with Nathen Harvey about the intersection of AI, DevOps, and user-centric software development. Together, they examine what DORA's research reveals about high-performing teams, why shipping faster doesn't automatically create more value, and how organizations can build stronger feedback loops with users. hubs.ly/Q04mr4S70
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