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Cybersecurityby James WilsonGitHub's 10,000-Repo Trojan: The Supply Chain Attack Reshaping Software Security
The discovery of 10,000 GitHub repositories actively distributing Trojan malware marks a critical inflection point in software supply chain security. This incident is not merely an isolated exploit but a systemic challenge to the foundational infrastructure underpinning a vast portion of the global software ecosystem. With GitHub hosting over 420 million repositories and serving more than 100 million developers, its centrality makes it an irresistible target for sophisticated threat actors. The sheer scale of this compromise signals a fundamental shift in attacker strategy, leveraging the perceived trust and hyper-modularity of open-source ecosystems as an efficient, automated malware distribution network. This event exposes a critical paradox: while open-source software fuels rapid innovation, its "free" nature often masks significant, externalized security costs, pushed downstream onto consumers who implicitly trust upstream components. Threat actors exploit this economic asymmetry, transforming GitHub from a collaborative development hub into a low-cost, high-impact distribution platform for malware. This strategy effectively bypasses traditional perimeter defenses by infiltrating the code itself, turning the implicit trust in community-vetted code into a systemic vulnerability demanding rigorous re-evaluation. ## The Mechanics of the 10,000-Repository Trojan Attack The 10,000-repository Trojan attack on GitHub represents an unprecedented escalation in software supply chain compromise, distinct from previous incidents by its sheer scale and automated deployment. Security research firms like Checkmarx and Fortinet extensively documented these campaigns, revealing coordinated efforts to inject malicious code into seemingly innocuous projects or create new ones mimicking popular libraries. These tactics, often leveraging typosquatting or dependency confusion, allow attackers t...
Software Developmentby Marcus HaleLore: The Next-Gen Version Control Paradigm for Petabyte Monorepos & Global Teams
# Lore Version Control: A New Paradigm for Petabyte Monorepos & Global Teams ## Git's Unbearable Weight: When a Standard Becomes an Impediment The reality of modern software development, characterized by hyperscale organizations like Google and Meta, reveals a critical truth: Git is buckling under unprecedented demands. Google's 86TB Piper monorepo and Meta's 300 million-file Sapling codebase underscore the architectural strain. Git's elegant, Directed Acyclic Graph (DAG)-based design, conceived for the compact text files of the Linux kernel and a distributed workflow of individual maintainers, proves inadequate for petabyte-scale binary assets, millions of files, and globally dispersed teams numbering in the tens of thousands. The very architecture that propelled Git to ubiquity now restricts the ambition of modern development. This represents more than a performance bottleneck; it is a systemic impediment to innovation at scale, necessitating a fundamental re-imagining of version control systems. This article identifies and names a converging architectural framework "Lore." Lore is not a single product, but a blueprint for a new generation of version control systems, synthesizing advanced open-source initiatives and proprietary solutions already championed by leading engineering organizations and researchers. This paradigm draws principles from projects like Pijul, Jujutsu, and cutting-edge distributed content-addressable storage solutions. We posit that major tech companies are already building systems embodying these principles, driven by practical needs at hyperscale, even if they don't explicitly label them "Lore." This shift moves beyond Git's inherent limitations, delivering systems where local operations remain fast, global consistency is eventually achieved, and "merging" transcends text-diff heuristics to become an intelligent reconciliation of an event stream. This extends beyond managing source code; it encompasses robust data provenance for every digital asset, ensuring integrity and traceability across the entire development lifecycle.
- Artificial Intelligenceby Marcus Hale
Qwen3.6-Plus: A Leap Forward in Real-World Agents
Qwen3.6-Plus is a significant improvement over its predecessor, offering better performance and adaptability in real-world scenarios.
- Technologyby James Wilson
Microsoft's GUI Strategy: A Critical Analysis
Microsoft's GUI strategy has been criticized for being inconsistent and confusing. But what's behind this criticism, and what does it mean for users?
- Health and Wellnessby Marcus Hale
Unlocking the Therapeutic Potential of Peptides: A Comprehensive Guide
**Unlock the Therapeutic Potential of Peptides**. Learn about the science behind peptides, their applications, and how they work in the body.
- Development
Vector Database Consolidation: Who Is Left in 2026, and What Won
Three years ago there were thirty vector database startups. Now there are six that matter. The story of who consolidated, who got bought, and what the survivors got right.
- Startups
Post-Series A GTM Playbooks That Actually Work in 2026
After Series A, founders face the same trap: hire a VP Sales and pray. Here are the GTM patterns actually working in 2026, and the ones that quietly fail.
- AI
Choosing Your First AI Infra Stack: A Founder's Field Guide for 2026
An opinionated, no-nonsense guide to assembling your first production AI stack in 2026 — what to pick, what to skip, and what to defer until Series A.
- Technologyby Nina Volkova
Wii Runs Mac OS X
Discover how one developer managed to port Mac OS X to the Nintendo Wii, and what this means for the world of console hacking. Learn about the challenges and triumphs of this unique project.
- Technologyby Leo Martinez
The GPUs That Shaped the Industry
From humble beginnings to cutting-edge technology, we explore the GPUs that revolutionized computing.
- Founders
Founder Mental Health: What Actually Works When Everything Is on Fire
Founder mental health is the most-discussed and least-actioned topic in startups. Here is what holds up when you check it against actual research and outcomes.
- AIby Nilesh Kasar
How I Cut Our Anthropic Bill by 84%: A Prompt Caching Playbook for 2026
Most teams treat Claude's prompt caching like a checkbox. Here's the production tuning playbook from three companies that dropped their bills 70-85% in a month.
- Founder Storyby Marek Janowski
Our first 100 customers came from a single Google Doc
We didn't have a product page. We had a public Google Doc with 84 footnotes. Here's how it became a distribution engine.
- Founder Storyby Inez Marin
We hired a full-time anthropologist before our second engineer
Most early-stage teams hire engineers, then designers, then growth. We hired an anthropologist on day 30. It changed everything about who our product was for.
- Founder Storyby Hannah Voss
I built three products in twenty-four months. The first one shipped on day 720.
Twenty-four months. Three products. Two abandoned. The story of why the third one took off — and why it almost didn't get built.
- Founder Storyby Yusuf Adeyemi
We turned down a $14M acquisition offer in year two. Here's what came next.
The offer would have made every founder a millionaire. We said no on a phone call in a parking lot. Here's the messy two years that followed.
- Founder Storyby Nora Mancini
I almost shut down on the day we got our biggest break
Solo founder Nora Mancini was thirty seconds from sending a wind-down email to her four customers. Then her laptop chimed.
- Founder Storyby Talia Reis
Our open-source repo had 30,000 stars and four customers
The GitHub graph was beautiful. The bank account was not. Here's how a popular open-source observability project found the commercial wedge hiding inside its own community.
- Founder Storyby Reuben Larsson
We won the contract by losing the demo on purpose
Most of our competitors had slicker demos. We chose to break ours live, on camera, in front of a Fortune 500 security team. We got the contract.
- Founder Storyby Aliyah Boateng
I wrote my own resignation, then my cofounder rewrote our entire pricing model
On a Tuesday morning Aliyah typed her resignation in a Google Doc. By Friday the company had a new pricing page, a new ICP, and the first profitable month it had ever seen.
- Founder Storyby Daniel Park
Eighteen pilots, zero revenue: rebuilding our GTM around one boring vertical
Daniel Park's compliance platform had eighteen pilots and not one paying customer. The fix wasn't product. It was admitting which industry he was actually allowed to sell to.
- Founder Storyby Maya Okafor
We killed our flagship product on a Sunday. Monday revenue 3x'd.
Maya Okafor spent 14 months building an AI agent platform. The breakthrough came the weekend she shipped one feature and deleted everything else.
Founder Storyby Helena VasquezWe rebuilt our entire clinical product after one nurse's email
A nurse at our pilot hospital sent a 1,200-word email at 2am. It described, in detail, why our product was making her job worse. We rebuilt everything.
Founder Storyby Sana IyerWe turned a Slackbot into an $11M Series A in synthetic biology
Onyx started as a weekend Slackbot that helped postdocs schedule lab equipment. Three years and a $11M Series A later, the bot is still in production.
