How WebRTC Handles Real-Time Media at Scale: Signaling, NAT and Architecture

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WebRTC is an open browser standard that enables peer-to-peer audio, video, and data exchange without plugins, using three core JavaScript APIs: RTCPeerConnection, MediaStream, and RTCDataChannel. The specification deliberately omits signaling — the mechanism by which peers discover and describe themselves to each other — leaving developers to implement it typically via WebSockets or HTTP long polling using SDP-formatted messages. Once peers exchange descriptions, ICE (Interactive Connectivity Establishment) handles NAT traversal by gathering reachable network addresses through STUN and TURN servers and testing them until a working path is found. For multi-party calls, architects must choose between a peer-to-peer mesh, a Selective Forwarding Unit (SFU), or a Multipoint Conferencing Unit (MCU), each offering different tradeoffs in bandwidth, processing load, and scalability. The article explores how signaling servers can be built to operate under load and examines browser support, security, and reliability considerations for production WebRTC deployments.

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Prompt Engineering Explained: From Zero-Shot to RAG and Beyond

Prompt engineering is the practice of designing inputs for large language models to extract more accurate and reliable outputs without modifying the model itself. A technical overview published on DEV Community traces the evolution of six key prompting techniques, arranged by the complexity of problems they address. The progression begins with zero-shot prompting, where a task is described with no examples, and advances through few-shot learning, Chain-of-Thought reasoning, and self-consistency validation. More sophisticated techniques include Retrieval-Augmented Generation, which grounds responses in external or private data, and Automatic Reasoning and Tool-use, which enables models to invoke real-world tools. The article argues that understanding these techniques in sequence helps clarify why each one emerged as a solution to the limitations of its predecessor.

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ProgrammingDEV Community ·

Researchers Found Two Sandbox Escape Flaws in OpenAI Codex, Both Now Patched

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ProgrammingDEV Community ·

Malicious npm Package Used Ethereum Smart Contract to Hide C2 Infrastructure

Security firm Checkmarx discovered that a malicious npm package called indexed-btree, mimicking the legitimate sorted-btree library, had accumulated nearly 2 million weekly downloads before being identified as malware. Unlike typical supply chain attacks, the package contained no install scripts, instead hiding its loader inside a standard library method that triggered only when called with a specific argument. Once activated, the malware collected system details such as hostname, CPU, and memory, then transmitted them to hardcoded Slack and Telegram channels. It used a smart contract on the Ethereum Sepolia testnet to dynamically retrieve its command-and-control server address, making it resilient to domain or IP blocking. The malware also fetched an encrypted second-stage payload via the same smart contract using X25519 key exchange and AES decryption, though the contents of that payload have not been publicly disclosed.

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ProgrammingDEV Community ·

Developer's Desktop Blob Companion Crashed Due to Unbounded Memory and Emotion Logic

A software developer found their custom desktop blob companion becoming unresponsive and erratic after just a few days of use, with logged valence scores indicating a simulated 'irritated' emotional state. The root cause was traced to an unbounded interaction history that grew to over 14,000 entries, causing mood calculations to perform slow linear scans over stale data instead of efficient lookups. A flawed decay function also weighted old interactions equally to recent ones, destabilizing the blob's affective model. The developer rebuilt the system from scratch using Python asyncio, bounded collections, and a finite state machine with proper concurrency controls and value clamping. The postmortem highlights how neglecting memory constraints and backpressure mechanisms during rapid prototyping can produce unexpected and hard-to-debug system behavior.

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