<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Agents | Rabimba Karanjai</title><link>http://rabimba.fyi/tags/ai-agents/</link><atom:link href="http://rabimba.fyi/tags/ai-agents/index.xml" rel="self" type="application/rss+xml"/><description>AI Agents</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 15 Oct 2026 14:00:00 +0000</lastBuildDate><image><url>http://rabimba.fyi/media/icon_hu_6d534efae7b021f2.png</url><title>AI Agents</title><link>http://rabimba.fyi/tags/ai-agents/</link></image><item><title>LA Tech Week 2026 — Google for Developers Codelabs &amp; AI Workshops</title><link>http://rabimba.fyi/events/latechweek-2026-google-codelabs/</link><pubDate>Thu, 15 Oct 2026 14:00:00 +0000</pubDate><guid>http://rabimba.fyi/events/latechweek-2026-google-codelabs/</guid><description>&lt;h3 id="workshop-overview"&gt;Workshop Overview&lt;/h3&gt;
&lt;p&gt;At &lt;strong&gt;LA Tech Week 2026&lt;/strong&gt;, Google for Startups and Google for Developers hosted hands-on codelab tracks for enterprise founders, engineers, and technical leaders. Alongside fellow Google Developer Expert &lt;strong&gt;Kiruthika Subramani&lt;/strong&gt;, I co-instructed two interactive technical workshops detailing how to build production-grade agentic architectures with Google Cloud and the &lt;strong&gt;Model Context Protocol (MCP)&lt;/strong&gt;.&lt;/p&gt;
&lt;hr&gt;
&lt;h3 id="workshop-1-location-intelligence-adk-agent-with-mcp-servers"&gt;Workshop 1: Location Intelligence ADK Agent with MCP Servers&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Interactive Presentation &amp;amp; Teleprompter&lt;/strong&gt;:
&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Official Google Codelab&lt;/strong&gt;:
&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Core Technologies&lt;/strong&gt;: Google Agent Development Kit (ADK), BigQuery Geospatial Data, Google Maps Grounding Lite MCP, Gemini 2.5 Flash&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="architectural-focus"&gt;Architectural Focus&lt;/h4&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Agent Development Kit (ADK) Core&lt;/strong&gt;: Structuring autonomous agents with schema-enforced tool interfaces, state persistence, and error-recovery loops.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;BigQuery MCP Integration&lt;/strong&gt;: Bridging spatial data warehouses with natural language queries—enabling dynamic SQL generation, bounding box filtering, and spatial joins over enterprise logistics tables without manual query plumbing.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Google Maps Grounding Lite MCP&lt;/strong&gt;: Validating place details, computing multi-modal travel times, and grounding model answers against live physical coordinates.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Production Guardrails&lt;/strong&gt;: Rate-limiting spatial queries, handling disconnected MCP sessions, and sanitizing agent reasoning steps.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h3 id="workshop-2-command--control-gemini-mcp--agentic-cli"&gt;Workshop 2: Command &amp;amp; Control: Gemini, MCP &amp;amp; Agentic CLI&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Interactive Presentation &amp;amp; Teleprompter&lt;/strong&gt;:
&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Official Google Codelab&lt;/strong&gt;:
&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Core Technologies&lt;/strong&gt;: Antigravity CLI (&lt;code&gt;agy&lt;/code&gt;), Developer Knowledge MCP, Agent Skills, Nano Banana 2 Image Gen, Google Cloud Run&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="architectural-focus-1"&gt;Architectural Focus&lt;/h4&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Headless Agent Orchestration&lt;/strong&gt;: Driving terminal-first agentic developer loops with Antigravity CLI (&lt;code&gt;agy&lt;/code&gt;), managing multi-step project scaffolding and debugging sessions.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Developer Knowledge MCP&lt;/strong&gt;: Exposing local codebase indexing, symbol trees, and architecture specs to agent runtimes without manual context dumping.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Multimodal Generation &amp;amp; Deployment&lt;/strong&gt;: Chaining multimodal synthesis via Nano Banana 2 for visual assets directly into automated container packaging and deployment to Google Cloud Run.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Composable Agent Skills&lt;/strong&gt;: Packaging reusable capability modules across teams to enforce testing, security, and deployment standards across agent prompts.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h3 id="reception--industry-feedback"&gt;Reception &amp;amp; Industry Feedback&lt;/h3&gt;
&lt;blockquote class="border-l-4 border-neutral-300 dark:border-neutral-600 pl-4 italic text-neutral-600 dark:text-neutral-400 my-6"&gt;
&lt;p&gt;&lt;em&gt;&amp;ldquo;Google for Startups and Google for Developers take over #LATECHWEEK&amp;hellip; Thanks to my GDEs Rabimba Karanjai and Kiruthika Subramani for providing such wonderful and thought driven codelabs.&amp;rdquo;&lt;/em&gt;
— &lt;strong&gt;Marty Fortier&lt;/strong&gt;, Google Developer Ecosystem / Startup Lead&lt;/p&gt;
&lt;/blockquote&gt;
&lt;blockquote class="border-l-4 border-neutral-300 dark:border-neutral-600 pl-4 italic text-neutral-600 dark:text-neutral-400 my-6"&gt;
&lt;p&gt;&lt;em&gt;&amp;ldquo;LA TECH WEEK by a16z was hands-on. We built small tools around real questions from our day-to-day, like which truck a load needs and how to read proof-of-delivery paperwork faster, and got a map agent running in the cloud in a guided codelab&amp;hellip; Thank you to Rabimba Karanjai and Kiruthika Subramani, our instructors in the Google for Developers codelabs.&amp;rdquo;&lt;/em&gt;
— &lt;strong&gt;Elizabeth Moscoso&lt;/strong&gt;, Founder &amp;amp; Logistics Operator&lt;/p&gt;
&lt;/blockquote&gt;</description></item><item><title>Reachability-Based Capability Confinement for LLM Agents under Indirect Prompt Injection</title><link>http://rabimba.fyi/publication/reachability-capability-confinement/</link><pubDate>Sun, 30 Aug 2026 00:00:00 +0000</pubDate><guid>http://rabimba.fyi/publication/reachability-capability-confinement/</guid><description/></item><item><title>PACE: Policy-Attested Contract Execution for Safe AI Agents in Decentralized Finance</title><link>http://rabimba.fyi/publication/pace-policy-attested-contract-execution/</link><pubDate>Tue, 18 Aug 2026 00:00:00 +0000</pubDate><guid>http://rabimba.fyi/publication/pace-policy-attested-contract-execution/</guid><description/></item><item><title>When Agents Act on Web3: An Attack-Surface Survey of MCP, Skills, and Tool Calling</title><link>http://rabimba.fyi/publication/agents-web3-attack-surface/</link><pubDate>Tue, 18 Aug 2026 00:00:00 +0000</pubDate><guid>http://rabimba.fyi/publication/agents-web3-attack-surface/</guid><description/></item><item><title>ConferenceRank</title><link>http://rabimba.fyi/projects/conferencerank/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>http://rabimba.fyi/projects/conferencerank/</guid><description>&lt;p&gt;
is a unified platform for discovering, evaluating, and tracking computer science conference and journal venues. It aggregates public ranking and bibliometric data into an accessible, interactive interface backed by programmatic APIs.&lt;/p&gt;
&lt;h3 id="key-features"&gt;Key Features&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Conference &amp;amp; Journal Rankings&lt;/strong&gt; — Complete CORE / ICORE rankings (A*, A, B, C) with historical tier tracking, side-by-side with SCImago Journal Rank (SJR) quartiles (Q1–Q4), H-index, and FoR discipline categories.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Venue &amp;amp; Journal Suggester&lt;/strong&gt; — Abstract-matching engine using TF-IDF and discipline lexicons to recommend stretch, target, and safe venues for an upcoming paper.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Deadlines &amp;amp; Watchlist&lt;/strong&gt; — Submission countdowns normalized to Anywhere on Earth (AoE), with 1-click Google Calendar sync, &lt;code&gt;.ics&lt;/code&gt; export, and zero-login local browser watchlists.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Acceptance Rate Trends&lt;/strong&gt; — Decades of acceptance statistics (submitted, accepted, rates) for leading venues across systems, AI/ML, security, databases, theory, and graphics.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="built-for-ai-agents"&gt;Built for AI Agents&lt;/h3&gt;
&lt;p&gt;ConferenceRank is machine-consumable out of the box:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;MCP Server&lt;/strong&gt; (&lt;code&gt;npx conferencerank-mcp&lt;/code&gt;) — Exposes six typed tools for MCP-compatible agents: &lt;code&gt;search_venues&lt;/code&gt;, &lt;code&gt;get_venue&lt;/code&gt;, &lt;code&gt;compare_venues&lt;/code&gt;, &lt;code&gt;suggest_venues&lt;/code&gt;, &lt;code&gt;upcoming_deadlines&lt;/code&gt;, and &lt;code&gt;acceptance_stats&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Static JSON API&lt;/strong&gt; — CDN-cached endpoints for conferences, journals, and upcoming deadlines, regenerated on weekly automated GitHub Actions runs.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Agent Skill &amp;amp; &lt;code&gt;llms.txt&lt;/code&gt;&lt;/strong&gt; — Ships full instructions and machine-readable context for agentic workflows.&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>LookALike: Human Mimicry based collaborative decision making</title><link>http://rabimba.fyi/publication/lookalike-human-mimicry/</link><pubDate>Sat, 16 Mar 2024 00:00:00 +0000</pubDate><guid>http://rabimba.fyi/publication/lookalike-human-mimicry/</guid><description/></item></channel></rss>