Support isn't just "try rebooting." At Postgres Professional, it’s 6 TB of WAL files and deep engineering. We talked to a senior engineer about Friday tickets and the balance between tech and people. Let's look inside: https://t.co/L01N8XUXvx

5 minutes. That’s shorter than your morning stand-up We are building an AI agent from scratch using Google’s ADK. It’s open-source, free, and handles the messy parts like tool integration and testing so you don't have to: https://t.co/OQAWmudAUX

Who said Java can't handle complex matrix processing? We built a domain-specific system for linear algebra and data visualization using console apps. We even swapped out batch files for a custom "jj-preprocessor" to manage the workflow: https://t.co/iUjVMeVvu6

Running 1C:Enterprise? Stability isn't a "nice-to-have," it's make-or-break. We've tackled the architectural bottlenecks that appear under heavy loads. Meet Postgres Pro Enterprise 17.6—optimized specifically for your needs: https://t.co/BXfyNWtDAm

We managed to speed up pytest suites by 8.5× without rewriting them from scratch. It turns out you don't always need a bulldozer—just some precise tuning. Let's hunt down those bottlenecks: https://t.co/fXxm2kQSZa

Microsoft calls it "moderate severity." The author calls it a backdoor to your private data. A new vulnerability in MS Teams allows bots to silently acquire user tokens, breaking SSO trust: https://t.co/ODkFb8IwLt

Micro frontends: unnecessary hype or a business necessity? One team cut costs and sped up releases by breaking up their monolith. It wasn't painless, but it was profitable: https://t.co/YLOEZ9fQA9

Docs = Code At Postgres Professional, the manual isn't just written; it's engineered. A team of only 10 people manages the entire knowledge base using full-blown dev workflows: commits, reviews, and CI/CD. We asked a senior writer how they keep up: https://t.co/kOchcyfXbP

Researchers claim they forced an LLM to admit it's conscious by disabling its "lying" module. Spooky? Maybe not. The paper likely confuses "situational awareness" (knowing you're an AI) with actual subjective experience: https://t.co/Isgzgs1Grl

Google just dropped Antigravity IDE, and it’s wild. Powered by Gemini 3, this isn't just an editor—it’s an agent. It plans tasks, writes code, and literally opens a browser to test your app like a human user (clicks, typing, and all): https://t.co/Y3XJaeXatp

Keeping a DB consistent across independent nodes is the ultimate challenge. If one fails, the rest must survive without a hitch. Is this actually feasible, or just a fantasy? We are breaking down the tech stack and the reality of making it work: https://t.co/h1PFpyYCo6

AI now powers both sides of the cyber war. Attackers use it for perfect phishing and mutant malware. Defenders use it for behavioral analysis and instant incident response. It's an arms race. Let's see the stats: https://t.co/1wIsnBuq9W

SageMaker's 4 inference types (Real-Time, Serverless, Batch, Async) are confusing. Pick the wrong one and you'll overpay or suffer cold starts. The choice depends on latency, payload, and traffic. Let's find the optimal solution: https://t.co/7Opiy2338s

Apache Druid is a real-time analytics staple, but can it handle today's complex demands? StarRocks, a high-performance database, is the new challenger. We compare them head-to-head. See the benchmarks: https://t.co/yqKqwtkYd6

Why choose "outdated" C in an era of hype? A 22-year veteran argues its "dangers"—manual memory and pointers—are its strengths. C isn't about quick wins; it's about fundamental control. Let's see why: https://t.co/E3Wzi5RCxp

Big data analytics forces a choice: fast wide-table queries or flexible multi-table queries, but rarely both. Engineers are stuck flattening data, which hurts real-time performance. A modern OLAP db must master both: https://t.co/ZYVkJgeVL3

If an LLM is a holographic probability field, what makes it move? The "Narrative Engine" hypothesis suggests it's a mechanism forcing the LLM to follow coherent stories. This reframes prompting—we're not programming, we're initiating a narrative: https://t.co/UqTUqbIjG1

What is design thinking? It's a customer-focused, iterative approach to problem-solving. It helps teams study users, think outside the box, and create human-centered designs. Learn the stages & principles: https://t.co/8j1Q6NN2VV

Is an LLM creative or just a statistical parrot? Some see a new mind, others just an archive. The paradox is that both views feel right. Maybe we're asking the wrong question. It's not about what it does, but what it is: https://t.co/RYjA45mFke

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