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HOW KERNEL ANTI-CHEATS WORK: A DEEP DIVE INTO MODERN GAME PROTECTION

Modern kernel anti-cheat systems, like BattlEye and Vanguard, operate at the highest privilege level in Windows, necessitated by the failure of user-mode protections against advanced kernel-level cheats. They have a three-component architecture, using kernel callbacks for real-time system monitoring, memory scanning, and advanced anti-injection and hook detection methods.

WHAT WE LEARNED FROM A 22-DAY STORAGE BUG (AND HOW WE FIXED IT)

Mux experienced a 22-day storage bug between January 8 and February 4, during which 0.33% of audio and video segments were served in a corrupted state. An optimization to use fewer, larger storage nodes created bottlenecks that amplified pre-existing issues like remote read cancellations, a race condition in file deletions, and a bug where partially written segments were treated as complete. To fix this, Mux addressed the deletion purge path, resolved remote read context cancellation, and increased storage node counts, then regenerated all affected segments and purged CDN caches.

FRONTEND MEMORY LEAKS: A 500-REPOSITORY STATIC ANALYSIS AND FIVE-SCENARIO BENCHMARK STUDY

A study analyzed 500 public React, Vue, and Angular repositories and conducted five benchmark scenarios to understand the prevalence and impact of frontend memory leaks caused by missing cleanup patterns. The static analysis found that 86% of repositories had at least one missing-cleanup pattern, with timers and event listeners being the most common offenders. Controlled benchmarks consistently showed that each unhandled pattern resulted in approximately 8 KB of retained heap growth per component mount/unmount cycle.

GRIEF AND THE AI SPLIT

AI-assisted coding has revealed a pre-existing split among developers: one group mourns the loss of the craft and artistry of writing code, while the other prioritizes making computers achieve desired outcomes. AI tools are a natural progression of software engineering though, shifting the puzzle-solving aspect of it to a more abstract, architectural level.

18 MONTHS OF CODE, GONE. HERE'S WHAT WE LEARNED.

OPTIMIZING CONTENT FOR AGENTS

Content should be optimized for AI agents, similar to how it's optimized for human users. This is necessary because AI agents, particularly frontier models, have specific behaviors and constraints, such as only reading parts of files or responding differently to direct information versus self-discovery. The recommended implementation involves content negotiation, where an `Accept: text/markdown` header signals an agent request, prompting the server to deliver specialized content.

Clerk Expo 3.1 changelog

1M CONTEXT IS NOW GENERALLY AVAILABLE FOR OPUS 4.6 AND SONNET 4.6

Claude Opus 4.6 and Sonnet 4.6 now provide a 1M context window at standard pricing, eliminating long-context premiums and expanding media limits to 600 images/pages.

TUI STUDIO

TUIStudio is a Figma-like visual editor for designing terminal user interfaces using drag-and-drop components, advanced layouts, and real-time previews.

GITAGENT

GitAgent is an open standard for defining, versioning, and running AI agents natively within Git repositories, treating agent configurations and components like traditional software code. It uses a git-native file system structure for defining agent "soul," skills, memory, and deterministic workflows.

MCP IS DEAD; LONG LIVE MCP!

When comparing CLIs vs MCPs for coding agents, MCPs are better for enterprise and organizational adoption. MCP over streamable HTTP provides advantages such as centralization, robust security, comprehensive telemetry, and standardized, dynamic delivery of tools, prompts, and resources. For well-known tools, CLIs do provide more token savings.

TWENTY YEARS OF AMAZON S3 AND BUILDING WHAT'S NEXT

Amazon S3 launched in 2006, unexpectedly shaping the internet infrastructure by offering developers highly scalable, reliable, and inexpensive web-scale storage. Over two decades, S3 has grown from petabytes to hundreds of exabytes and trillions of objects. Looking forward, S3 is evolving beyond simple storage to become a universal foundation for AI and data workloads, introducing capabilities like S3 Tables, Vectors, and Metadata to directly support complex applications on stored data.

THE 49MB WEB PAGE

Modern news websites are bloated, slow, and usually have a lot of ads covering their UIs. Publishers prioritize short-term ad revenue (CPMs) over reader retention, resulting in massive data downloads, constant surveillance, and a high cognitive burden on users. This also shows up in the download size of web pages, some being slow to load because of all the data being downloaded.

FULLY REMOTE)

As the first engineer on TLDR's new Applied AI team, you'll build AI agents and composable Claude Skills to let non-technical teammates create their own AI workflows. Learn more [20].

ASK HN: HOW IS AI-ASSISTED CODING GOING FOR YOU PROFESSIONALLY? (HACKER NEWS THREAD)

Software engineers in the industry find that AI-assisted coding boosts productivity for boilerplate tasks, testing, debugging, and learning new technologies, yet it struggles with complex design, often producing flawed code requiring rigorous human review.

XML IS A CHEAP DSL

XML, despite its perceived obsolescence, is a uniquely cheap and effective choice for building declarative domain-specific languages to model complex systems like the tax code, due to its structured handling of nested expressions and universal tooling ecosystem.

YOUR PHONE IS AN ENTIRE COMPUTER

iPhones, which share powerful hardware with MacBooks, are artificially restricted by Apple.

SUPERPOWERS 5

Superpowers 5 introduces "Visual Brainstorming," which enables agents to generate interactive web-based mockups and diagrams instead of relying on ASCII art.

Replit

AI WON'T REPLACE INNOVATION

History suggests that the future of AI will look less like a monopoly and more like an ecosystem. Frontier labs will build the infrastructure while thousands of companies emerge to turn that intelligence into products, workflows, and systems that solve real problems. Completely new jobs will likely be created. Founders and startups that are willing to deeply understand customers, build thoughtful systems, and focus relentlessly on specific workflows will see more opportunity than ever.

DATA IS THE ONLY MOAT

Think about the metadata you collect when people use your platform or when you observe the consequences of using your product. For example, the times when people post from social media share links, when most people engage, or what kind of content drives the most engagement. This data is your most unique data moat. Use it to improve how people use your product and how they run their own businesses.

RETHINKING SAAS METRICS FOR AI

If you're still tracking ARR as your north star, it's lying to you. AI-native companies need different metrics - token consumption is the one that's hard to fake because the fastest-growing companies sit directly in the token path. Raw tokens don't tell you if you're creating value or just passing through infrastructure costs, so gross profit per million tokens is becoming the real scorecard investors are pricing companies on. DAUs stop mattering when AI agents are doing the work inside other products via MCP, and nobody trusts the LTV of any AI product right now.

HOW TO THOUGHT LEAD (2026)

Earn mindshare for your topic by regularly posting information, products, and mental models to be used by others. Thought leadership boils down to six principles, ordered explicitly in descending order of importance: have credibility; know what people aspire to; be authoritative, knowledgeable, and useful; be quoteable; be strongly opinionated; and be first, or be funny. This post looks deeper into these principles to provide a formula for thought leadership. The best thought leaders do the work first, earn credibility, and then let everything amplify a foundation that's already solid.

DEVELOPER RELATIONS: WHAT IT IS, AND HOW TO MEASURE IT

DevRel is such a flexible and multifaceted role that it means very different things depending on what company you're at. The role has five primary facets: documentation, engineering, content and events, product feedback, and community management. This article talks about each facet, what they mean in practice, and why they sit where they do in the stack ranking.

reach.

NAOMA AI

AI video agent that runs live product demos 24/7.

STRUCT

Root-cause engineering alerts from logs and traces.

PRAVA

Payments stack built for AI agents.

WIZ HAD 4 CO-FOUNDERS. DATABRICKS AND ANTHROPIC HAVE 7. STOP OVERTHINKING IT

Don't try to find the right number of co-founders. Co-founders who just met a month ago are a risk. Founding team trust matters infinitely more than founding team structure. Having the right team to make the pie big is worth more than having a larger slice of a smaller pie.

VENTURE CAPITAL DOESN'T EXIST

What we call 'venture capital' is a conflation of seed stage investing, traditional venture, supercharged growth investing, and previously small-cap growth tech stocks. The more the individual parts are acknowledged, the better off everyone will be. Large capital providers can still deploy capital to all four types of investing. However, founders and funders need to be aware of what game they're playing - the reality is that most genuinely don't know.

SELLING YOUR COMPANY

Confident buyers won't mind if you talk to other bidders because they know they're the better outcome for your business if you want to sell it.

HOW TO GIVE A DEMO THAT DOESN'T SUCK

Most demos are 45 minutes of monologued clicking through every feature while the prospect zones out.

STARTUPS SHOULD EVALUATE ENGINEERS DIFFERENTLY FROM BIG COMPANIES

A founder hired a FAANG backend engineer who aced every interview.

⚡️ Automate and accelerate trust with Drata ⚡️

OPENCLAW AI AGENT FLAWS COULD ENABLE PROMPT INJECTION AND DATA EXFILTRATION

China's CNCERT warned that OpenClaw, an open-source self-hosted AI agent, poses significant risks due to weak default settings and privileged system access. These vulnerabilities can enable indirect prompt injection attacks, where malicious instructions embedded in web content can force the agent to exfiltrate sensitive data via attacker-constructed URLs shown as link previews in Telegram or Discord — no user click needed. Other attack points include malicious skills uploaded to ClawHub that can execute arbitrary commands or install malware, instruction misinterpretation leading to irreversible data deletion, and threat actors distributing trojanized OpenClaw installers on GitHub that deliver malware such as Atomic Stealer, Vidar Stealer, and the Golang proxy GhostSocks via ClickFix-style lures. Recommended mitigation steps include blocking OpenClaw's default management port from internet exposure, isolating the service in a container, avoiding plaintext credential storage, and restricting skill installations to trusted channels only.

STARBUCKS DATA BREACH IMPACTS 889 EMPLOYEES

Phishing sites impersonating Starbucks Partner Central captured employees' credentials, allowing an unauthorized third party to access staff accounts between January 19 and February 11. The intrusion exposed names, Social Security numbers, dates of birth, and bank and routing details for 889 employees.

AUTHORITIES DISRUPT SOCKSESCORT PROXY BOTNET EXPLOITING 369,000 IPS ACROSS 163 COUNTRIES

Law enforcement shut down the SocksEscort proxy service, which sold traffic tunneled through 369,000 infected home and small-business routers in 163 countries since at least 2021. Operation Lightning seized 34 domains, 23 servers, and froze $3.5 million in crypto linked to more than €5 million in proxy sales. Criminals used the network for fraud, ransomware, DDoS, and CSAM, abusing RCE and command injection flaws in some 1,200 router models and, in some cases, flashing custom firmware that permanently disabled updates.

MALWARE INSIGHTS: MACOS PHEXIA CAMPAIGN

The Phexia Campaign, likely linked to APT28, deploys a four-stage macOS attack chain initiated via a ClickFix prompt that tricks users into pasting a base64-obfuscated osascript payload into Terminal, establishing LaunchAgent persistence at ~/Library/LaunchAgents/com.components.campaign-id.plist and polling a Telegram bot for live C2 domain updates. The implant uses tccutil reset All to clear TCC permissions and resurface permission dialogs, masquerades a credential-harvesting dialog as System Preferences with 150 retry loops to capture the macOS user password, then, every 60 seconds, pulls and executes a Phexia Stealer osascript payload targeting all crypto wallets, browsers, Keychain, and Telegram auth data. Defenders should alert on launchctl load activity writing to ~/Library/LaunchAgents, monitor for tccutil reset All execution, block vdsina[.]com-hosted domains at the DNS layer, and treat any Terminal paste prompt from a website as an immediate IOC.

THE RETURN OF PHANTOMRAVEN: DETECTING THREE NEW WAVES OF NPM SUPPLY CHAIN ATTACKS

Endor Labs identified 88 new malicious npm packages across three PhantomRaven waves (Waves 2–4) published between November 2025 and February 2026, with 81 packages still live and two C2 servers still active, both AWS EC2 instances running plaintext HTTP on port 80. The campaign abuses Remote Dynamic Dependencies (RDD) like HTTP URL entries in package.json that cause npm itself to fetch and execute a 259-line credential-harvesting payload from attacker infrastructure at install time, exfiltrating developer emails, CI/CD tokens, and full system fingerprints via triple-redundant GET/POST/WebSocket channels to PHP endpoints jpd.php and npm.php. Defenders should reject any npm package with non-registry URL dependencies, block outbound HTTP to domains matching the artifact-themed C2 pattern, and audit CI/CD pipelines for token exposure across the 50+ disposable npm accounts attributed to this operator.

WE SCANNED 1,808 MCP SERVERS. 66% HAD SECURITY FINDINGS

MCP servers have rapidly become the default integration layer for AI agents, but large‑scale scanning of 1,808 servers shows that 66% expose security issues. The riskiest patterns are code execution, toxic cross‑server data flows, and tool‑description prompt injection, which enable data exfiltration, supply‑chain attacks, and even zero‑click RCE via clients like IDEs and desktop agents. Real incidents demonstrate that MCP01–MCP06‑style issues are already being exploited in production. Security‑minded teams should treat MCP as a live attack surface: check servers against the MCP Security Registry, tightly scope tokens, test system prompts, and rigorously review tool and config changes before granting autonomous access.

→ READ THE DATABRICKS CASE STUDY

→ LEARN MORE ABOUT OPAL SECURITY

CARTOGRAPHY

cartography is a CNCF Python tool that ingests infrastructure assets from 30+ platforms into a Neo4j graph database to map asset relationships and expose hidden attack paths. Security teams can query cross-tenant IAM relationships, network ingress/egress paths, and datastore access patterns, or run framework compliance checks via `cartography-rules`, with extensible plugin support for custom data sources.