DevSecOps in Practice
A Hands-On Guide to Operationalizing DevSecOps at Scale
Updates and recent posts about bugfree.ai.. Course
@eon01 published a course, 2 weeks, 3 days ago
Founder, FAUN.dev
Story Trigma Inc Team
@tairascott shared a post, 2 weeks, 3 days ago
AI Expert and Consultant, Trigma
How Do Large Language Models (LLMs) Work? An In-Depth Look
Discover how Large Language Models work through a clear and human centered explanation. Learn about training, reasoning, and real world applications including Agentic AI development and LLM powered solutions from Trigma.
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@laura_garcia shared a post, 2 weeks, 3 days ago
Software Developer, RELIANOID
🔐 RELIANOID at Gartner IAM Summit 2025 | Dec 8–10, Grapevine, TX
We’re heading to the Gartner Identity & Access Management Summit to showcase how RELIANOID’s intelligent proxy and ADC platforms empower modern IAM: enhancing Zero Trust enforcement, adaptive access, and hybrid/multi-cloud security. Join us to explore AI-driven automation, ITDR, and identity governa..
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@varbear shared a link, 2 weeks, 3 days ago
FAUN.dev()
Confessions of a Software Developer: No More Self-Censorship
A mid-career dev hits pause after ten years in the game -realizing core skills likepolymorphism, SQL, and automated testingnever quite clicked. Leadership roles, shipping products, mentoring junior devs - none of it filled those gaps. They'd been writingC#/.NETfor a while too. Not out of love, just .. read more
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@varbear shared a link, 2 weeks, 3 days ago
FAUN.dev()
Building a Blockchain in Go: From 'Hello, Block' to 10,000 TPS
A new Go tutorial shows how to build a lean, fast blockchain - clocking ~10,000 TPS - without the usual bloat. It covers the full stack:P2P networking,custom consensus, and properstate management. No unbounded mempools. No missing snapshots. Just a chain that actually runs, benchmarked on real machi.. read more
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@varbear shared a link, 2 weeks, 3 days ago
FAUN.dev()
Inside the GitHub Infrastructure Powering North Korea’s Contagious Interview npm Attacks
The Socket Threat Research Team has been following North Korea’s Contagious Interview operation as it targets blockchain and Web3 developers through fake job interviews. The campaign has added at least197 malicious npm packagesand over31,000 downloadssince last report, showcasing the adaptability of.. read more
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@varbear shared a link, 2 weeks, 3 days ago
FAUN.dev()
Before You Push: Implementing Quality Gates in Your Software Project
This post discusses best practices for automated testing in software engineering, including unit tests and integration tests for databases, APIs, and emulators. It also covers end-to-end tests using tools like Cypress, Appium, Postman, and more. Additionally, it highlights the importance of environm.. read more
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@varbear shared a link, 2 weeks, 3 days ago
FAUN.dev()
How to Get Developers in Your Team to Contribute to Your Test Automation
A fresh blog post dives into how to get devs pulling their weight ontest automation- not as extra credit, but as part of shipping code. The playbook: tie automation work straight to thedefinition of done, clear up who owns what, and stop pretending delivery pressure is a mystery. The big idea? Most .. read more
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@varbear shared a link, 2 weeks, 3 days ago
FAUN.dev()
Partitions, Sharding, and Split-for-Heat in DynamoDB
DynamoDB starts to grumble when a single partition gets hit with more than 1,000WCU. To dodge throttling, writes need to fan out across shards. Recommended move: start with10 logical shards. WatchCloudWatch metrics. DialNup or down. Letburstandadaptive capacitybuy you breathing room - untilSplit-for.. read more
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@varbear shared a link, 2 weeks, 3 days ago
FAUN.dev()
Building Mac Farm: Running 2000+ iOS Pipelines Daily
At Trendyol, they runover 2,000 iOSpipelines daily across130 Mac machines, executing50,000+ unit testsand10,000+ UI testsfor their iOS apps. The team initiated a mobile CI transformation to address the challenges of scale and performance as their team grew and AI usage increased. They built a macOS .. read more
Key Features:
150+ system design questions: Master challenges across all difficulty levels and problem types, including 30+ object-oriented design and 20+ machine learning design problems.
Targeted practice: Sharpen your skills with focused exercises tailored to real-world interview scenarios.
In-depth feedback: Get instant, detailed evaluations to refine your approach and level up your solutions.
Expert guidance: Dive deep into walkthroughs of all system design solutions like design Twitter, TinyURL, and task schedulers.
Learning materials: Access comprehensive guides, cheat sheets, and tutorials to deepen your understanding of system design concepts, from beginner to advanced.
AI-powered mock interview: Practice in a realistic interview setting with AI-driven feedback to identify your strengths and areas for improvement.
bugfree.ai goes beyond traditional interview prep tools by combining a vast question library, detailed feedback, and interactive AI simulations. It’s the perfect platform to build confidence, hone your skills, and stand out in today’s competitive job market.
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