Frontend Engineering at Palantir: Redefining Real-Time Map Collaboration
How we built lightweight, real-time map collaboration for teams operating at the edge. About This Series Frontend engineering at Palantir goes far beyond building standard web apps. Our engineers design interfaces for mission-critical decision-making, build operational applications that translate insight to action, and create systems that handle massive datasets — thinking not just about what the user needs, but what they need when the network is unreliable, the stakes are high, and the margin for error is zero. This series pulls back the curtain on what that work really looks like: the technical problems we solve, the impact we have, and the approaches we take. Whether you’re just curious or exploring opportunities to join us, these posts offer an authentic look at life on our Frontend te
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<details open=""> <p>server: (webui) no more gzip compression (<a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4154086917" data-permission-text="Title is private" data-url="https://github.com/ggml-org/llama.cpp/issues/21073" data-hovercard-type="pull_request" data-hovercard-url="/ggml-org/llama.cpp/pull/21073/hovercard" href="https://github.com/ggml-org/llama.cpp/pull/21073">#21073</a>)</p> <ul> <li> <p>webui: no more gzip</p> </li> <li> <p>try changing a small line</p> </li> <li> <p>Revert "try changing a small line"</p> </li> </ul> <p>This reverts commit <a class="commit-link" data-hovercard-type="commit" data-hovercard-url="https://github.com/ggml-org/llama.cpp/commit/0d7a3531593d87b724d404c8727a96becab3ab07/hovercard" href="https://github.com/ggml-or
NASA Confirms 80% Launch Probability for Artemis II Amid Solar Flare Watch
<p><strong>Artemis II Launch Odds Surge as Solar Flare Fizzles Out</strong></p> <p>NASA's Artemis II mission is on track for liftoff later this month, with officials reporting an 80% chance of favorable weather conditions at Kennedy Space Center. Despite an earlier X-class solar flare detection, space weather analysts have determined the event poses no significant threat to the crewed lunar flyby, ensuring mission preparations remain on schedule.</p> <p><strong>Key Takeaways</strong></p> <ul> <li>NASA confirms 80% probability of favorable launch conditions for Artemis II.</li> <li>An X-class solar flare was detected earlier this week but is not expected to impact the mission.</li> <li>The crewed lunar flyby remains on track for its scheduled launch later this month.</li> </ul> <p><a href="
ScaleOps raised $130 million at $800M valuation, plans product expansion - mezha.net
<a href="https://news.google.com/rss/articles/CBMiXkFVX3lxTE5NVVdscU1IcUFrN2V2cFVvMlIyYWtVUXBHRHREVzUyR3hyMzdGeVhlbURNMHNlNWRsRjd0SFRxT1hlUXNRVWZPbUd3MzhSUFhUYnA2Wkdrb3FidkVVd0E?oc=5" target="_blank">ScaleOps raised $130 million at $800M valuation, plans product expansion</a> <font color="#6f6f6f">mezha.net</font>
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Commentary: From an AI tax assistant to biometrics, Uzbekistan invests in digital services - Eurasianet
<a href="https://news.google.com/rss/articles/CBMisAFBVV95cUxNS192Mkl1V2lzV3ZTVWlFcEd6OG5PSWRHSjN4dFJxdFRxNzlpSGFlajhBR25RLUthMHh3b1JteTdYT2ZMV1lDeXNZMV9fSU1OWmZIM2tDSjI5N0dZYlhySVB1aUdZTU1BZ0h1eGdvcFhhbjhEcDNrczlDdlpnM2FDV2xLaDQtT3JJcm1pQnFHczFRQ29sTThaVF9DUlJNVlR4R2swWWsyYmM1SjlsUUdMRg?oc=5" target="_blank">Commentary: From an AI tax assistant to biometrics, Uzbekistan invests in digital services</a> <font color="#6f6f6f">Eurasianet</font>
Testing MCP Servers: A Practical Guide for Developers
<p>You've built an MCP server. It works on your machine. But will it work when your colleague installs it? What about in production?</p> <p>MCP (Model Context Protocol) servers occupy a unique position in the development stack. They're not traditional REST APIs, and they're not simple CLI tools — they bridge AI models with external resources. This means testing them requires a fundamentally different approach than you might be used to.</p> <p>After building several MCP servers in production, I've learned that effective testing breaks down into three distinct layers: unit testing for individual functions, integration testing for client/server communication (the layer most developers skip), and end-to-end testing with real AI models.</p> <p>Let me walk you through each layer with practical e
The bottleneck for AI coding assistants isn't intelligence — it's navigation
<p>You ask Claude about a function. It gives you a confident, detailed explanation. You build on it for an hour. Then you find out it was wrong.</p> <p>Or: you change a function, tests pass, you ship. Three days later — four other places called that function, all broken. Claude never mentioned them.</p> <p>Same root cause: <strong>Claude doesn't have a way to navigate your codebase.</strong></p> <h2> The core idea </h2> <p><strong>Turn your entire repo into a graph. Use BFS + LSP to search and traverse it.</strong><br> </p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>/generate-index → build the graph (deterministic script + AI refine) ↓ AI_INDEX.md → the graph itself (adjacency list — nodes are domains, edges are connections) ↓ /investigate-module → rea
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