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But what I'm most proud of is the research foundation - we implemented virtually every scientifically proven pattern from the 2025-2026 AI agent literature.\nFrom Anthropic:<p>Constitutional AI self-critique against principles\nBuilding Effective Agents evaluator-optimizer pattern\nClaude Code Best Practices explore-plan-code workflow\nVisible Extended Thinking (think, think hard, ultrathink levels)\nEffective Harnesses one-feature-at-a-time pattern<p>From DeepMind:<p>SIMA 2 self-improvement loops\n<em>Gemini</em> <em>Robotics</em> hierarchical reasoning (planner + executor)\nScalable AI Safety debate-based verification<p>From OpenAI:<p>Agents SDK tracing, guardrails, tripwires\nDeep Research adaptive planning with backtracking\nAGENTS.md standardized instructions<p>From Academic Research:<p>CONSENSAGENT (ACL 2025): Blind review + Devil's Advocate when unanimous. 30% false positive reduction.\nGoalAct: Global planning \u2192 skill decomposition \u2192 local execution. 12%+ success rate improvement.\nA-Mem: Zettelkasten-style memory linking for episodic\u2192semantic consolidation.\nMulti-Agent Reflexion: Structured debate (Implementer \u2192 Skeptic \u2192 Advocate \u2192 Synthesizer).\nIter-VF: Verify answer only, not reasoning chain. Prevents context overflow.<p>From Industry:<p>NVIDIA ToolOrchestra: Three-reward signal (outcome/efficiency/preference), dynamic agent selection\nAWS Bedrock: Routing mode for simple tasks, supervisor mode for complex\nBoris Cherny's self-verification loop (2-3x quality improvement)\nSimon Willison's sub-agents for context isolation<p>From HN discussions:<p>&quot;Zero companies without human in the loop&quot; \u2192 confidence-based escalation\nContext curation beats automatic RAG\nFresh contexts yield better results\nLLM-as-judge has shared blind spots \u2192 deterministic validation<p>The full acknowledgements with links to every paper/resource: <a href=\"https://github.com/asklokesh/claudeskill-loki-mode/blob/main/ACKNOWLEDGEMENTS.md\" rel=\"nofollow\">https://github.com/asklokesh/claudeskill-loki-mode/blob/main...</a>\nRun: claude --dangerously-skip-permissions then &quot;Loki Mode with PRD at path/to/prd&quot;\nHappy to discuss any of the research or architecture decisions."},"title":{"matchLevel":"none","matchedWords":[],"value":"Show HN: Research-Backed Multi-Agent System for Autonomous Development"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://github.com/asklokesh/claudeskill-loki-mode"}},"_tags":["story","author_slogansand","story_46547971","show_hn"],"author":"slogansand","children":[46548390],"created_at":"2026-01-08T23:25:22Z","created_at_i":1767914722,"num_comments":1,"objectID":"46547971","points":3,"story_id":46547971,"story_text":"Hey HN, author here.\nLoki Mode orchestrates specialized AI agents to take a PRD to deployed product with zero human intervention. But what I&#x27;m most proud of is the research foundation - we implemented virtually every scientifically proven pattern from the 2025-2026 AI agent literature.\nFrom Anthropic:<p>Constitutional AI self-critique against principles\nBuilding Effective Agents evaluator-optimizer pattern\nClaude Code Best Practices explore-plan-code workflow\nVisible Extended Thinking (think, think hard, ultrathink levels)\nEffective Harnesses one-feature-at-a-time pattern<p>From DeepMind:<p>SIMA 2 self-improvement loops\nGemini Robotics hierarchical reasoning (planner + executor)\nScalable AI Safety debate-based verification<p>From OpenAI:<p>Agents SDK tracing, guardrails, tripwires\nDeep Research adaptive planning with backtracking\nAGENTS.md standardized instructions<p>From Academic Research:<p>CONSENSAGENT (ACL 2025): Blind review + Devil&#x27;s Advocate when unanimous. 30% false positive reduction.\nGoalAct: Global planning \u2192 skill decomposition \u2192 local execution. 12%+ success rate improvement.\nA-Mem: Zettelkasten-style memory linking for episodic\u2192semantic consolidation.\nMulti-Agent Reflexion: Structured debate (Implementer \u2192 Skeptic \u2192 Advocate \u2192 Synthesizer).\nIter-VF: Verify answer only, not reasoning chain. 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And Google is vertically integrated, they aren't just selling tokens, they are selling Taxi rides with Waymo. AI is a lot more than LLMs and Google is doing a lot more than LLMs."},"story_title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["gemini"],"value":"<em>Gemini</em> API File Search is now multimodal"},"story_url":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["gemini"],"value":"https://blog.google/innovation-and-ai/technology/developers-tools/expanded-<em>gemini</em>-api-file-search-multimodal-rag/"}},"_tags":["comment","author_lukeschlather","story_48080702"],"author":"lukeschlather","comment_text":"&gt; Their latest proper model is a year old<p>What&#x27;s a &quot;proper model?&quot; Gemini 3.1 Pro was released 3 months ago. Gemini Robotics 1.6 was released a month ago. And Google is vertically integrated, they aren&#x27;t just selling tokens, they are selling Taxi rides with Waymo. AI is a lot more than LLMs and Google is doing a lot more than LLMs.","created_at":"2026-05-10T17:10:53Z","created_at_i":1778433053,"objectID":"48085746","parent_id":48084991,"story_id":48080702,"story_title":"Gemini API File Search is now multimodal","story_url":"https://blog.google/innovation-and-ai/technology/developers-tools/expanded-gemini-api-file-search-multimodal-rag/","updated_at":"2026-05-10T20:08:27Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"Isamu"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["gemini","robotics"],"value":"&gt;Our safest <em>robotics</em> model yet\nSafety is integrated into every level of our embodied reasoning models. <em>Gemini</em> <em>Robotics</em>-ER 1.6 is our safest <em>robotics</em> model to date, demonstrating superior compliance with <em>Gemini</em> safety policies on adversarial spatial reasoning tasks compared to all previous generations.<p>The safety guidelines are interesting, they treat them as a goal that they are aspiring to achieve, which seems realistic. It\u2019s not quite ready for prime time yet."},"story_title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["gemini","robotics"],"value":"<em>Gemini</em> <em>Robotics</em>-ER 1.6"},"story_url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["gemini","robotics"],"value":"https://deepmind.google/blog/<em>gemini</em>-<em>robotics</em>-er-1-6/"}},"_tags":["comment","author_Isamu","story_47779094"],"author":"Isamu","comment_text":"&gt;Our safest robotics model yet\nSafety is integrated into every level of our embodied reasoning models. Gemini Robotics-ER 1.6 is our safest robotics model to date, demonstrating superior compliance with Gemini safety policies on adversarial spatial reasoning tasks compared to all previous generations.<p>The safety guidelines are interesting, they treat them as a goal that they are aspiring to achieve, which seems realistic. It\u2019s not quite ready for prime time yet.","created_at":"2026-04-15T19:12:13Z","created_at_i":1776280333,"objectID":"47783796","parent_id":47779094,"story_id":47779094,"story_title":"Gemini Robotics-ER 1.6","story_url":"https://deepmind.google/blog/gemini-robotics-er-1-6/","updated_at":"2026-04-15T19:17:43Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"spwa4"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["gemini","robotics"],"value":"It's called &quot;VLA&quot; (vision-language-action) models: <a href=\"https://huggingface.co/models?pipeline_tag=robotics\" rel=\"nofollow\">https://huggingface.co/models?pipeline_tag=<em>robotics</em></a><p>VLA models essentially take a webcam screenshot + some text (think &quot;put the red block in the right box&quot;) and output motor control instructions to achieve that.<p>Note: &quot;<em>Gemini</em> <em>Robotics</em>-ER&quot; is not a VLA, though <em>Gemini</em> does have a VLA model too: &quot;<em>Gemini</em> <em>Robotics</em>&quot;.<p>A demo: <a href=\"https://www.youtube.com/watch?v=DeBLc2D6bvg\" rel=\"nofollow\">https://www.youtube.com/watch?v=DeBLc2D6bvg</a>"},"story_title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["gemini","robotics"],"value":"<em>Gemini</em> <em>Robotics</em>-ER 1.6"},"story_url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["gemini","robotics"],"value":"https://deepmind.google/blog/<em>gemini</em>-<em>robotics</em>-er-1-6/"}},"_tags":["comment","author_spwa4","story_47779094"],"author":"spwa4","comment_text":"It&#x27;s called &quot;VLA&quot; (vision-language-action) models: <a href=\"https:&#x2F;&#x2F;huggingface.co&#x2F;models?pipeline_tag=robotics\" rel=\"nofollow\">https:&#x2F;&#x2F;huggingface.co&#x2F;models?pipeline_tag=robotics</a><p>VLA models essentially take a webcam screenshot + some text (think &quot;put the red block in the right box&quot;) and output motor control instructions to achieve that.<p>Note: &quot;Gemini Robotics-ER&quot; is not a VLA, though Gemini does have a VLA model too: &quot;Gemini Robotics&quot;.<p>A demo: <a href=\"https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=DeBLc2D6bvg\" rel=\"nofollow\">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=DeBLc2D6bvg</a>","created_at":"2026-04-15T15:53:34Z","created_at_i":1776268414,"objectID":"47780892","parent_id":47779853,"story_id":47779094,"story_title":"Gemini Robotics-ER 1.6","story_url":"https://deepmind.google/blog/gemini-robotics-er-1-6/","updated_at":"2026-04-15T21:14:27Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"simonw"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["gemini","robotics"],"value":"It's not supported by <em>Gemini</em> 3: <a href=\"https://ai.google.dev/gemini-api/docs/gemini-3#migrating_from_gemini_25\" rel=\"nofollow\">https://ai.google.dev/<em>gemini</em>-api/docs/<em>gemini</em>-3#migrating_fro...</a><p>&gt; Image segmentation: Image segmentation capabilities (returning pixel-level masks for objects) are not supported in <em>Gemini</em> 3 Pro or <em>Gemini</em> 3 Flash. For workloads requiring native image segmentation, we recommend continuing to utilize <em>Gemini</em> 2.5 Flash with thinking turned off or <em>Gemini</em> <em>Robotics</em>-ER 1.5."},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Show HN: OfferGridAI \u2013 side-by-side comparison of real estate offers from PDFs"},"story_url":{"matchLevel":"none","matchedWords":[],"value":"https://offergridai.com"}},"_tags":["comment","author_simonw","story_46464529"],"author":"simonw","comment_text":"It&#x27;s not supported by Gemini 3: <a href=\"https:&#x2F;&#x2F;ai.google.dev&#x2F;gemini-api&#x2F;docs&#x2F;gemini-3#migrating_from_gemini_25\" rel=\"nofollow\">https:&#x2F;&#x2F;ai.google.dev&#x2F;gemini-api&#x2F;docs&#x2F;gemini-3#migrating_fro...</a><p>&gt; Image segmentation: Image segmentation capabilities (returning pixel-level masks for objects) are not supported in Gemini 3 Pro or Gemini 3 Flash. For workloads requiring native image segmentation, we recommend continuing to utilize Gemini 2.5 Flash with thinking turned off or Gemini Robotics-ER 1.5.","created_at":"2026-01-02T19:13:10Z","created_at_i":1767381190,"objectID":"46468233","parent_id":46467917,"story_id":46464529,"story_title":"Show HN: OfferGridAI \u2013 side-by-side comparison of real estate offers from PDFs","story_url":"https://offergridai.com","updated_at":"2026-03-05T23:18:07Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"incognito124"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["gemini","robotics"],"value":"Believe it or not, there's <em>Gemini</em> <em>Robotics</em>, which seems to be exactly what you're talking about:<p><a href=\"https://deepmind.google/models/gemini-robotics/\" rel=\"nofollow\">https://deepmind.google/models/<em>gemini</em>-<em>robotics</em>/</a><p>Previous discussions: <a href=\"https://news.ycombinator.com/item?id=43344082\">https://news.ycombinator.com/item?id=43344082</a>"},"story_title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["gemini"],"value":"<em>Gemini</em> 3 Flash: Frontier intelligence built for speed"},"story_url":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["gemini"],"value":"https://blog.google/products/<em>gemini</em>/<em>gemini</em>-3-flash/"}},"_tags":["comment","author_incognito124","story_46301851"],"author":"incognito124","comment_text":"Believe it or not, there&#x27;s Gemini Robotics, which seems to be exactly what you&#x27;re talking about:<p><a href=\"https:&#x2F;&#x2F;deepmind.google&#x2F;models&#x2F;gemini-robotics&#x2F;\" rel=\"nofollow\">https:&#x2F;&#x2F;deepmind.google&#x2F;models&#x2F;gemini-robotics&#x2F;</a><p>Previous discussions: <a href=\"https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=43344082\">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=43344082</a>","created_at":"2025-12-17T17:21:25Z","created_at_i":1765992085,"objectID":"46302486","parent_id":46302036,"story_id":46301851,"story_title":"Gemini 3 Flash: Frontier intelligence built for speed","story_url":"https://blog.google/products/gemini/gemini-3-flash/","updated_at":"2026-03-05T23:12:37Z"}],"hitsPerPage":20,"nbHits":172,"nbPages":9,"page":0,"params":"query=gemini+robotics&advancedSyntax=true&analyticsTags=backend","processingTimeMS":12,"processingTimingsMS":{"_request":{"roundTrip":21},"afterFetch":{"merge":{"mergeLoop":{"prepareNextHit":1,"total":1},"total":1},"total":1},"fetch":{"query":8,"scanning":1,"total":10},"total":12},"query":"gemini robotics","serverTimeMS":13}
