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# Gemini Code Assist: Persistent Memory for Smarter AI Code Reviews The most effective code review feedback is **specific**, **consistent**, and grounded in the **history of the project**. However, traditional AI code review agents are **stateless** — they have no memory of prior interactions. This often leads to the **same rejected suggestions
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Road to GA Update: Spring gRPC + Spring Boot 4 Integration Plans This post in the Road to GA series provides an update on integrating Spring gRPC with Spring Boot 4. --- Background The original plan was to move autoconfiguration from Spring gRPC directly into Spring Boot for the 4.0
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Reinventing “Chat” in the Age of AI A conversation with Chunyu Chen, founder of Intent --- Setting the Scene In today’s world of AI hype, large models, and productivity tools, the humble chat app rarely gets attention. Dominated by WeChat, WhatsApp, and iMessage, instant messaging seems unshakably controlled by
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Vendor Lock-In: Why It Matters and How Vercel Is Different Vendor lock-in is a key consideration when choosing a cloud platform. Many providers require you to build against their proprietary primitives, making migration to another platform costly. Vercel takes the opposite approach: You write code for your chosen framework, not
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# Introduction As a seasoned Java professional, I’ve closely followed the language's role in the AI space. Due to **inherent limitations**, however, **Java is unlikely to become a mainstream AI development language**. That said, Java **does** have a place in the AI ecosystem — especially as a **backend request-forwarding
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CodeClash: A New Benchmark for Evaluating Coding LLMs Researchers from Stanford, Princeton, and Cornell have introduced a novel benchmark, CodeClash, designed to assess coding skills of large language models (LLMs) in multi‑round competitive tournaments. Unlike narrowly defined coding tasks, CodeClash evaluates the ability to achieve high‑level, strategic objectives
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📚 Table of Contents * Pain Points for Frontline Developers in the AI Coding Era * Skills: Equipping AI with "Skill Packs" for the Real World * Quick Start: From Personal Use to Team Collaboration * Practical Case Studies: From Individual Intelligence to Team Intelligence * Nine Tips for Using Skills Effectively * Insights and
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# **Mastering the Art of Logging: From Rookie Mistakes to Expert Practices** --- ## **Prologue — The Alert That Sparked a Realization** One National Day holiday, I was lazily sprawled on a beach chair, beer in hand, soaking in the sea breeze — absolute bliss. Suddenly, my phone erupted with alerts: **"Disk space
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# Podcast: Evolving Software After Failure — Resilience Through Events and Workflows In this episode, **Michael Stiefel** speaks with **Randy Shoup** about evolving software after failure and improving resilience by **modeling transient states** using **events** and **workflows**. > Failure is inevitable — but learning from it, and making cultural as well as technical
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# Meta’s Llama Journey — From Glory to Crisis   At the **end of October 2025**, Meta’s AI division announced **layoffs of 600 positions**, including the research
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AI’s Impact on Productivity, Jobs, and Society Artificial Intelligence (AI) is more than just a revolution in productivity—it represents a gradual but profound transformation of society. When efficiency skyrockets thanks to AI, an age-old question reappears: > Will humans be replaced? If AI performs tasks faster and more
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# From Language to the World: Spatial Intelligence — The Next Frontier in Artificial Intelligence When ChatGPT appeared, many thought AI was already “smart enough.” But it still can’t answer one simple question: *exactly how many centimeters are your fingertips from the rim of a coffee cup when you reach for