New Principal Tech Individual Contributors (ICs) should balance deep technical work with broader responsibilities such as providing vision, mentoring, and connecting teams. A large part of the role involves teaching the organization to value new ideas and driving initiatives that might not happen otherwise.
The Android workgroup has announced the nightly preview release of the Swift SDK for Android, letting devs build native Android applications using Swift. This SDK helps cross-platform development by allowing developers to port Swift packages to Android, with over 25% of packages already compatible.
Oxdraw is a tool that bridges the gap between code-generated diagrams (like Mermaid) and manually customizable diagramming software (like Lucidchart). It allows users to create and fine-tune diagrams using Mermaid syntax with a web interface for visual adjustments. Edits made in the interface are saved back to the Mermaid source file as comments.
Nanit reduced costs by creating N3, a Rust-based in-memory landing zone for video processing, using S3 as a fallback buffer. This removed PutObject request fees and short-term storage costs associated with S3's minimum storage duration. The solution uses a two-tier fallback system, where an N3-Proxy initially redirects uploads to S3 upon N3-Storage failure, and Camera Service then completely switches to S3 presigned URLs in case of broader N3 issues.
This article explains the journey from when the OS kernel is asked to run a program to when the `main()` function is executed. The kernel uses the `execve` system call to load the program, which is usually in ELF format on Linux. The ELF file contains code, data, and other information, including an entry point where execution begins. The kernel sets up the stack with arguments, environment variables, and auxiliary vectors before jumping to the `_start` function, which then initializes the language runtime and calls the user's `main()` function.
Despite advancements and a larger ecosystem, modern frameworks like React may not represent a large improvement over older frameworks like Backbone for simple tasks, often trading explicit simplicity for complex abstractions that can hurt understanding and debugging.
FTA is a fast, open-source static analysis tool written in Rust for TypeScript and JavaScript code that identifies complexity and maintainability issues.
An AWS outage in its northern Virginia data center, US-EAST-1, disrupted major sites like Snapchat and Reddit globally. The issue, rooted in DNS problems with the DynamoDB API, impacted platforms in gaming, finance, and more. AWS is addressing the problem, but lingering issues persist.
Snap aims to raise $1 billion for its AR glasses division. CEO Evan Spiegel is negotiating with potential investors, including Saudi Arabia's Public Investment Fund. This fundraising effort highlights Snap's commitment to advancing its AR technology.
Crusoe is raising $1.38 billion in a Series E round led by Valor Equity Partners and Mubadala Capital, valuing the company at $10 billion. Key investors include Nvidia, Fidelity Management, and Founders Fund. Crusoe recently launched the first phase of its 1.2 gigawatt data center in Abilene, Texas.
If first calls aren't turning into deals, don't just push for more meetings – figure out why. Start by collecting data: run call transcripts through an LLM or have reps record structured feedback. Are you talking to the right companies, the right buyers, and saying the right things? Then tighten stage definitions so “qualified” means the same thing to everyone. Use a scorecard to rate each call on discovery, pain, and next steps to see where reps fall short. From there, build training around the patterns, role-play for storytelling, ICP refinement for targeting, and coach on urgency when deals stall. Fix the system before you add volume. Clear criteria and consistent coaching turns activity into actual pipeline.
Casca shows how product-market fit happens when startups move from guessing to learning directly from customers. The team embedded inside banks, observing how lenders worked and solving problems as they appeared, instead of relying on assumptions or slide decks. That focus turned slow, manual loan approvals into an automated process that banks now depend on. The lesson is clear: PMF is rarely a perfect product or vision. It comes from sitting close enough to customers to feel their pain, building something that fixes it, and repeating the cycle until demand pulls you forward.
Most startup pitches miss because founders try to explain too much. They know every corner of the business and assume investors need to, too. In ten minutes, that turns into a firehose of slides, acronyms, and backstory. However, a pitch is less about teaching and more about sparking interest. Investors don't need to understand everything, they just need to care enough to ask for another meeting. The best decks keep it simple: one clear problem, one sharp solution, a few proof points, and a story that makes sense.
AI is transforming products and redefining how software companies make money. Hear from Martin Casado, General Partner at Andreessen Horowitz, in this live webinar [11] on how leading startups and public companies are building new monetization models for the AI era. Register for the webinar [11].
Software pricing runs on psychology as much as math. Slack's promise to charge only for active users made people expect fairness tied to usage, and that mindset spread across SaaS. Once buyers learned to ask what something costs to run instead of what it's worth to them, value became harder to defend. That's dbt's problem: it powers data teams but doesn't handle the “expensive” part like storage or compute, so it looks easy to underprice. Fivetran brings scale and alignment, but not a fix to that perception. The merger matters less as a product move and more as a lesson in how pricing shapes who captures value in the modern data stack.
Why do well-meaning founders struggle to focus on customers? Perhaps it's philosophical. Most founders operate from self: our goals, our vision, our version of progress. This author's answer is the divine lever: a pursuit that is purely good, rooted entirely in serving demand. When you find that lever, effort feels effortless because it pulls you instead of draining you.
Every craft has a tool powerful enough to both create and destroy. In woodworking, it's the table saw. In software, it's the IDE. Mastering them takes patience, planning, and respect. The same rule applies to design and AI tools today: no-code and generators let anyone build fast, but speed without understanding leads to fragile results. They're great for sketches, not for structures meant to last. Knowing when to reach for power and when to work by hand is what separates craft from chaos.
Voice AI is poised to revolutionize software interfaces by integrating voice as the primary interaction layer, transforming workflows in regulated industries like healthcare, finance, and logistics.
Explore security tools built specifically for AWS environments [5]. Deploy and test advanced solutions in minutes with free trials and pay-as-you-go pricing. From next-gen firewalls to automated compliance tools. Browse the complete collection and start your free trial today.
Toys “R” Us Canada has sent notices to customers of a security incident in which threat actors leaked data they stole from its systems. The breached data includes full names, physical addresses, email addresses, and phone numbers.
Endpoint security firm Koi Security uncovered a new self-spreading malware targeting developers, embedded in VS Code and OpenVSX extensions. The malware was pushed via hidden code in compromised extensions, which downloaded an infostealer that stole cryptocurrency wallet data and credentials for GitHub, npm, and OpenVSX accounts. The malware also attempts to infect any extensions it gains access to to self-propagate.
DataDog Security Labs identified a new phishing method exploiting Microsoft's Copilot Studio chatbots. Attackers can tailor the Login topic to create convincing phishing pages hosted on copilotstudio.microsoft.com. The attack involves administrators approving permission requests from the application, which can be a “demo website” that does not need Microsoft's verification.
Agentic browsers like OpenAI Atlas are vulnerable to exploitation if input boundaries are not strictly enforced. Attackers can create strings that look like URLs but contain natural-language commands, which the omnibox might interpret as user intent. This can allow malicious actors to override user commands, leading to unintended or harmful actions, such as opening phishing sites or executing destructive instructions.
File hashes, IP addresses, and domains are usually seen as indicators of compromise (IoCs), but they have limited value in investigations because adversaries can easily alter them. These IoCs can be more insightful if supplemented with additional contextual data like fuzzy hashes, GeoIP information, and domain reputation. As AI enhances malware developers' abilities, IoCs will no longer serve as standalone alerts but will evolve into data points that help build a comprehensive understanding of a threat actor's behavior.
This post demonstrates how to use LLMs with Model Context Protocol (MCP) servers integrated into IDA Pro and Ghidra to accelerate malware reverse engineering through automated function analysis, code documentation, and variable renaming. Testing on IcedID malware compared cloud-based Claude Sonnet 3.7 ($2.91-$13.24 per analysis, 18-11 minutes) against local Ollama/Devstral models ($0 cost, 22-46 minutes), with cloud models providing more thorough analysis but at a higher expense. Key limitations include token costs escalating with file complexity, context window truncation causing local models to forget instructions mid-analysis, and security risks from prompt injection, tool poisoning, and potential data exfiltration when using untrusted MCP servers.
2025.10.27·
blog.talosintelligence.com·10 min read·TLDR InfoSec
Learn how to defend cloud control planes, adapt endpoint detection mindsets to cloud environments, and find the right balance in detection rules. Datadog Detect [13] (October 30, 12PM ET) [13] brings together security researchers from Red Canary, Corelight, and Datadog to share practical approaches for building scalable detection and
Maigret collects a dossier on a person by username alone, checking accounts across a vast number of sites and gathering all available information from web pages. No API keys are required. Maigret is an easy-to-use and powerful fork of Sherlock.
AI-powered browsers promise convenience but can unintentionally follow dangerous instructions hidden in web content, risking user security. Comet's recent vulnerability exposed how easily AIs can be manipulated. They are like naive assistants who often cannot distinguish malicious commands from user input. A simple hidden command can hijack and send private data to a thief.
A federal judge issued a permanent injunction against NSO, banning it from using Pegasus spyware on WhatsApp users and requiring it to delete illegally obtained data. The ruling, from Meta's lawsuit, revealed that Pegasus infected activists', diplomats', and journalists' devices. Punitive damages were reduced, but the case sets a precedent that enhances privacy protections and makes attacks on encrypted platforms like WhatsApp riskier.
Attackers used phishing to compromise npm maintainer accounts in September, injecting malicious code into 18 popular packages with over 2 billion weekly downloads to steal cryptocurrency and credentials from CI/CD pipelines. Cloudflare's Page Shield, using ML-based analysis of 3.5 billion scripts daily, detected all compromised packages with 98% precision and 90% recall by identifying obfuscated code and changes to wallet interfaces. Organizations should audit dependencies, rotate credentials, pin safe versions, and consider Cloudflare's Client-Side Risk Assessment for supply chain security.
Reddit sued AI startup Perplexity, Lithuanian firm Oxylabs, SerpApi, and Russian company AWMProxy for allegedly circumventing platform protections by scraping Reddit content from Google search results to train AI models and resell data to companies like OpenAI and Meta.
Ahrefs is using its 110B keyword database to deliver real data on Answer Engine Optimization. With the results, you can go beyond terms to see how AI perceives your brand [4] across topics, products, and regions.