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The Programming Skills You Need for Today's Data Roles

New tutorials dig into usingLabel Studio + Dockerto tighten up object detection pipelines—and how to squeeze more out ofRabbitMQ + Celerywithout breaking your queue (or your spirit). Other writeups get into the weeds with LLM monitoring,Bayesian hyperparameter search, and Google’s freshly droppedLan.. read more  

The Programming Skills You Need for Today's Data Roles
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How we migrated our Rush.js monorepo to Node type stripping

Calm gutted a 10-year-old Rush.js monorepo and came out faster, cleaner, and way less tangled. The team dropped transpilation, ditched source maps, and went all-in onNode type strippingwithnative ESM. Local dev sped up by 30–40%. CI jobs? 3–6 minutes faster. The overhaul hit everything: killed stubb.. read more  

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Claude Code Ushers in a New Era of Agentic Programming

The rapid evolution of agentic coding is transforming software development, moving beyond traditional methods to intelligent, autonomous systems. Anthropic's Claude Code represents a significant leap in AI assistance for developers, shifting the paradigm from direct text manipulation to hands-off co.. read more  

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What makes Claude Code so damn good (and how to recreate that magic in your agent)!?

Claude Code skips the multi-agent circus. One main loop. At most, one fork in the road. Everything runs through a flat message history, tracked by a tidy little to-do list. Over half its LLM calls? Outsourced to lighter, cheaper models likeclaude-3-5-haiku. Smart split: heavyweight reasoning when y.. read more  

What makes Claude Code so damn good (and how to recreate that magic in your agent)!?
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Top Tech Conferences & Events to Add to Your Calendar in 2025

Check out TechRepublic's events guide for a list of upcoming conferences, some of which are in-person and others that are virtual or hybrid. This list will be updated periodically to include new events and details... read more  

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Redis to acquire Decodable

Redis is buyingDecodable, the real-time streaming startup, to crank up itsRedis Data Integration (RDI)and beef up real-time data ingestion. Decodable’s stack lands in Redis Cloud first, syncing outside data into Redis fast enough to feed hungry AI agents real context. What's really happening:Redis i.. read more  

Redis to acquire Decodable
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My Own DNS Server At Home

RunningBIND on Fedora with Podmanputs you in the driver’s seat—local DNS, full zone control, and no third-party middlemen. It handles staticforward/reverse zonesacross multiple IPv4 subnets, skips the mess of dynamic updates, and plugs into your router as a recursiveforwarding resolver. Call it a se.. read more  

My Own DNS Server At Home
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Vibe Coding Will Break Your Enterprise

Tools likeReplitandLovableare fine for quick hacks. Not for enterprise. They can’t handle service integration, durable state, or transactions that don’t fall apart. What enterprises need: realagentic systems. These aren’t glorified code editors—they’re stateful, resilient operators. They juggle work.. read more  

Vibe Coding Will Break Your Enterprise
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Le Chat now integrates with 20+ enterprise platforms—powered by MCP—and remembers what matters with Memories.

Le Chat now includes20+ secure, MCP-based connectorsfor tools like GitHub, Snowflake, Stripe, and Jira. That means in-chat search, summaries, and actions—straight from enterprise systems. Developers can plug in their owncustom MCP connectors, and run Le Chat wherever it fits: on-prem, private cloud.. read more  

Le Chat now integrates with 20+ enterprise platforms—powered by MCP—and remembers what matters with Memories.
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OpenAI to launch its first AI chip in 2026 with Broadcom, FT reports

OpenAI’s firstin-house AI chipis nearly out of the oven. It’s headed for fabrication atTSMCand built to handle OpenAI’s own workloads—no outside sales, according to theFinancial Times. Why it matters:Big AI shops are going vertical. Custom silicon means tighter control over runtime, reliability, an.. read more  

OpenAI to launch its first AI chip in 2026 with Broadcom, FT reports
Magika is an open-source file type identification engine developed by Google that uses machine learning instead of traditional signature-based heuristics. Unlike classic tools such as file, which rely on magic bytes and handcrafted rules, Magika analyzes file content holistically using a trained model to infer the true file type.

It is designed to be both highly accurate and extremely fast, capable of classifying files in milliseconds. Magika excels at detecting edge cases where file extensions are incorrect, intentionally spoofed, or absent altogether. This makes it particularly valuable for security scanning, malware analysis, digital forensics, and large-scale content ingestion pipelines.

Magika supports hundreds of file formats, including programming languages, configuration files, documents, archives, executables, media formats, and data files. It is available as a Python library, a CLI, and integrates cleanly into automated workflows. The project is maintained by Google and released under an open-source license, making it suitable for both enterprise and research use.

Magika is commonly used in scenarios such as:

- Secure file uploads and content validation
- Malware detection and sandboxing pipelines
- Code repository scanning
- Data lake ingestion and classification
- Digital forensics and incident response