Black Box Testing Strategies for Modern Web Applications
Explore effective black box testing strategies for modern web applications. Learn how to validate user workflows, APIs, asynchronous behavior, and security while minimizing flaky tests.
Updates and recent posts about NanoClaw.. Story
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@sancharini shared a post, 3Β months, 2Β weeks ago
How to Combine Monkey Testing With Structured Test Automation?
Explore a practical approach to combining monkey testing with structured test automation, including smart test design, observability, and risk-based execution.
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@idjuric660 shared a post, 3Β months, 2Β weeks ago
Technical Content Writer, Mailtrap
5 Best Email API for Node.js Developers Tested & Compared
The best email APIs for Node.js developers are Mailtrap, Mailgun, SendGrid, Amazon SES, and Postmark. I tested each by building a demo application and integrating all services to find which provides the best SDK. Read on for complete results. Node.js email API comparison SDK quality SDK βqualityβ co..
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@laura_garcia shared a post, 3Β months, 2Β weeks ago
Software Developer, RELIANOID
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Big news from the RELIANOID team! Weβve just crossed π,π³π¬π¬ π³πΌπΉπΉπΌππ²πΏπ on LinkedIn, and we couldnβt be more grateful π This community is growing thanks to you β our partners, customers, tech enthusiasts, and cybersecurity professionals who follow our journey in application delivery, security, and high..
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Paid Acquisition and Growth Marketing, xygeni
When AI Became Part of the Attack Surface
AI is now a core execution layer in software delivery. In 2025, attackers exploited automation, trusted pipelines, and AI-generated code instead of vulnerabilities. This report explains why traditional AppSec signals failed and what must change in 2026.
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@viktoriiagolovtseva shared a post, 3Β months, 2Β weeks ago
How to Plan a Product Release in Jira
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@varbear shared a link, 3Β months, 2Β weeks ago
FAUN.dev()
A better way to limit Claude Code (and other coding agents!) access to Secrets
A new workflow dropsClaude Codeinto aBubblewrap-based sandbox, cutting Anthropic's client-side code out of the trust loop. Compared to spinning up Docker or juggling user accounts, Bubblewrap locks things down tighter - with less setup and cleaner OS-level walls around files, network access, and sec.. read more Β
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@varbear shared a link, 3Β months, 2Β weeks ago
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Reversing YouTube's "Most Replayed" Graph
An engineer cracked open YouTubeβs βmost replayedβ heatmap. Turns out it runs onsampled view frequency arrays, client-sidenormalization, andSVG renderingstitched together withCubic BΓ©zier splinesfor that smooth, snappy curve. Behind the scenes, playback gets logged with adifference array + prefix su.. read more Β
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@varbear shared a link, 3Β months, 2Β weeks ago
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An Honest Review of Go
Go gets big props for its built-in concurrency model withgoroutinesandchannels, which make lightweight, scalable parallelism easy and ergonomic. The author criticizes Go's type system for lacking things likeenums, closed type sets, and tuples, making certain patterns awkward compared with Rust's ric.. read more Β
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@varbear shared a link, 3Β months, 2Β weeks ago
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How Github monopoly is destroying the open source ecosystem
Out of 238 student open source contributions over seven years, 237 landed onGitHub- even though they were told to look elsewhere. One short-lived GitHub IP block brought everything to a standstill. No commits. No reviews. Just silence. Turns out, a single platform holds the keys to a whole ecosystem.. read more Β
The agent integrates with messaging platforms such as WhatsApp and Telegram, allowing users to interact with their AI assistant directly through familiar chat applications. Each conversation group operates independently and maintains its own memory and execution environment.
A core design principle of NanoClaw is security through isolation. Every agent session runs inside its own container using Docker or Apple Container, ensuring that the agent can only access files and resources that are explicitly mounted. This approach relies on operating systemβlevel sandboxing rather than application-level permission checks.
The architecture is intentionally simple: a single orchestrator process manages message queues, schedules tasks, launches containerized agents, and stores state in SQLite. Additional functionality can be added through a modular skills system, allowing users to extend capabilities without increasing the complexity of the core codebase.
By combining a minimal architecture with container-based isolation and messaging integration, NanoClaw aims to provide a transparent, customizable personal AI agent that users can run and control entirely on their own infrastructure.
