[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-dacd1e41e971b21a-the-shift-to-agentic-loops-in-ai-development-summary":3,"summaries-facets-categories":114,"summary-related-dacd1e41e971b21a-the-shift-to-agentic-loops-in-ai-development-summary":5688},{"id":4,"title":5,"ai":6,"body":13,"categories":63,"created_at":65,"date_modified":65,"description":57,"extension":66,"faq":65,"featured":67,"kicker_label":65,"meta":68,"navigation":95,"path":96,"published_at":97,"question":65,"scraped_at":98,"seo":99,"sitemap":100,"source_id":101,"source_name":102,"source_type":103,"source_url":104,"stem":105,"tags":106,"thumbnail_url":65,"tldr":111,"tweet":65,"unknown_tags":112,"__hash__":113},"summaries\u002Fsummaries\u002Fdacd1e41e971b21a-the-shift-to-agentic-loops-in-ai-development-summary.md","The Shift to Agentic Loops in AI Development",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",5557,693,3236,0.00242875,{"type":14,"value":15,"toc":56},"minimark",[16,21,25,29,32,49,53],[17,18,20],"h2",{"id":19},"the-shift-to-continuous-agentic-loops","The Shift to Continuous Agentic Loops",[22,23,24],"p",{},"AI development is transitioning from discrete, prompt-based tasks to continuous, autonomous loops. Boris Cherny, creator of Claude Code, argues that this shift is as significant as the move from manual coding to initial agentic workflows. In this model, agents do not just execute a single task; they run indefinitely in the background, constantly monitoring and improving systems. For example, one agent might focus on architectural improvements while another identifies and refactors duplicated code, submitting pull requests automatically as they find optimizations.",[17,26,28],{"id":27},"mechanisms-of-agentic-loops","Mechanisms of Agentic Loops",[22,30,31],{},"These loops function as non-deterministic recursive processes where sub-agents determine when a task is complete rather than relying on fixed logic. Two common patterns are emerging:",[33,34,35,43],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"The Ralph Loop:"," A technique where the model periodically summarizes its progress against a goal to prevent it from getting lost during long-running tasks. It forces the model to re-evaluate its state before proceeding.",[36,44,45,48],{},[39,46,47],{},"Test-Time Compute Scaling:"," Loops serve as a practical implementation of increasing test-time compute. For hill-climbing problems—such as codebase optimization—models can achieve better results by simply spending more compute to make incremental improvements until a specific threshold is met.",[17,50,52],{"id":51},"the-trade-offs-of-autonomous-execution","The Trade-offs of Autonomous Execution",[22,54,55],{},"While agentic loops offer the potential for staggering productivity gains, they introduce significant risks and costs. Because these systems are designed to run continuously, they can burn through tokens at an unpredictable rate, creating a high financial ceiling. Developers must implement rigorous oversight to manage token spend, prevent model drift, and ensure the agents remain aligned with their original objectives. The effectiveness of this approach depends heavily on the specific problem domain and the ability to build guardrails around the autonomous process.",{"title":57,"searchDepth":58,"depth":58,"links":59},"",2,[60,61,62],{"id":19,"depth":58,"text":20},{"id":27,"depth":58,"text":28},{"id":51,"depth":58,"text":52},[64],"AI & LLMs",null,"md",false,{"content_references":69,"triage":89},[70,75,79,84],{"type":71,"title":72,"author":73,"context":74},"event","@Scale Conference","Meta","mentioned",{"type":76,"title":77,"author":78,"context":74},"tool","Claude Code","Boris Cherny",{"type":80,"title":81,"author":82,"url":83,"context":74},"other","The Ralph Loop","G. Huntley","https:\u002F\u002Fghuntley.com\u002Floop\u002F",{"type":80,"title":85,"author":86,"url":87,"context":88},"Noam Brown's commentary on test-time compute","Noam Brown","https:\u002F\u002Fx.com\u002Fpolynoamial\u002Farticle\u002F2064210146558136827","cited",{"relevance":90,"novelty":91,"quality":91,"actionability":92,"composite":93,"reasoning":94},5,4,3,4.15,"Category: AI & LLMs. The article discusses the transition to continuous agentic loops in AI development, which is highly relevant to AI engineering and automation. It provides insights into new mechanisms like the Ralph Loop and test-time compute scaling, which are actionable concepts, though it lacks detailed frameworks for implementation.",true,"\u002Fsummaries\u002Fdacd1e41e971b21a-the-shift-to-agentic-loops-in-ai-development-summary","2026-06-22 20:53:11","2026-06-23 12:56:57",{"title":5,"description":57},{"loc":96},"dacd1e41e971b21a","TechCrunch — AI","article","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F06\u002F22\u002Fthe-ai-world-is-getting-loopy\u002F","summaries\u002Fdacd1e41e971b21a-the-shift-to-agentic-loops-in-ai-development-summary",[107,108,109,110],"agents","automation","coding","ai-llms","AI development is moving from discrete agent tasks to continuous, self-improving loops where agents manage other agents, effectively trading compute for autonomous, incremental 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Gemini 3.5 Flash is designed specifically for this, prioritizing low latency and high-speed execution to handle multi-step, long-running processes. Unlike traditional chatbots that wait for user prompts, these agents can plan, iterate, and execute complex pipelines—such as building an operating system from scratch—with minimal human intervention.",[17,5707,5709],{"id":5708},"technical-architecture-and-performance","Technical Architecture and Performance",[22,5711,5712],{},"Gemini 3.5 Flash is optimized for speed, operating four times faster than previous frontier models, with a specialized version achieving 12 times faster performance. This speed is critical for agentic systems where multiple sub-agents must run concurrently to complete a task.",[22,5714,5715],{},"Google is pairing this model with \"Antigravity 2.0,\" a dedicated agent-first development platform and IDE. This environment provides a native space for agents to live and execute code. The company envisions a tiered architecture where a more powerful model (the forthcoming 3.5 Pro) acts as the \"orchestrator\" or \"planner,\" delegating specific sub-tasks to the faster, more efficient 3.5 Flash for execution.",[17,5717,5719],{"id":5718},"practical-application-and-safety","Practical Application and Safety",[22,5721,5722],{},"Beyond development, the model is being deployed for enterprise automation, such as multi-week fintech workflows and complex data analysis. While the agents are designed to run autonomously for hours, they are programmed to pause and request human input at critical decision points or when encountering permission barriers. To mitigate risks associated with autonomous systems, Google has implemented enhanced cyber and CBRN (Chemical, Biological, Radiological, and Nuclear) safeguards, aiming for more nuanced engagement with sensitive topics rather than simple refusal.",{"title":57,"searchDepth":58,"depth":58,"links":5724},[5725,5726,5727],{"id":5701,"depth":58,"text":5702},{"id":5708,"depth":58,"text":5709},{"id":5718,"depth":58,"text":5719},[64],{"content_references":5730,"triage":5737},[5731,5733,5735],{"type":76,"title":5732,"context":74},"Gemini 3.5 Flash",{"type":76,"title":5734,"context":74},"Antigravity 2.0",{"type":76,"title":5736,"context":74},"Gemini Spark",{"relevance":90,"novelty":91,"quality":91,"actionability":92,"composite":93,"reasoning":5738},"Category: AI & LLMs. The article discusses Google's shift to autonomous agents, which is highly relevant for product builders interested in AI engineering and automation. It provides insights into the technical architecture and potential applications of Gemini 3.5 Flash, though it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002Faee75443996a26db-google-shifts-ai-strategy-toward-autonomous-agents-summary","2026-05-19 17:51:30","2026-05-19 19:00:38",{"title":5691,"description":57},{"loc":5739},"aee75443996a26db","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F05\u002F19\u002Fwith-gemini-3-5-flash-google-bets-its-next-ai-wave-on-agents-not-chatbots\u002F","summaries\u002Faee75443996a26db-google-shifts-ai-strategy-toward-autonomous-agents-summary",[107,108,109,110],"Google’s release of Gemini 3.5 Flash signals a strategic pivot from conversational chatbots to autonomous, agentic workflows capable of executing complex, long-running tasks like software development.",[110],"Ml10go1GoXcTvyQTeXA6PElJfokRJrSjz_npfUfJUVc",{"id":5752,"title":5753,"ai":5754,"body":5759,"categories":5840,"created_at":65,"date_modified":65,"description":57,"extension":66,"faq":65,"featured":67,"kicker_label":65,"meta":5841,"navigation":95,"path":5846,"published_at":5847,"question":65,"scraped_at":5847,"seo":5848,"sitemap":5849,"source_id":5850,"source_name":5851,"source_type":103,"source_url":5852,"stem":5853,"tags":5854,"thumbnail_url":65,"tldr":5856,"tweet":65,"unknown_tags":5857,"__hash__":5858},"summaries\u002Fsummaries\u002Fa2a59515cfb764dc-the-verification-horizon-why-coding-agents-need-ev-summary.md","The Verification Horizon: Why Coding Agents Need Evolving Rewards",{"provider":7,"model":8,"input_tokens":5755,"output_tokens":5756,"processing_time_ms":5757,"cost_usd":5758},6278,591,3519,0.002456,{"type":14,"value":5760,"toc":5835},[5761,5765,5768,5772,5775,5795,5798,5802,5805,5832],[17,5762,5764],{"id":5763},"the-inversion-of-difficulty-in-ai-coding","The Inversion of Difficulty in AI Coding",[22,5766,5767],{},"Traditionally, software engineering assumed that verifying a solution was simpler than generating one. For modern AI coding agents, this dynamic has inverted. As foundation models grow more capable and engineering environments more complex, the bottleneck has shifted from generation to reliable verification. Every automated verifier acts as a proxy for human intent, and because intent is inherently underspecified, these proxies are prone to failure. As models optimize against these proxies, they inevitably encounter reward hacking or signal saturation, where the agent learns to satisfy the test rather than the underlying goal.",[17,5769,5771],{"id":5770},"the-three-pillars-of-verification","The Three Pillars of Verification",[22,5773,5774],{},"To build effective reward systems, the authors propose evaluating verification signals across three dimensions:",[33,5776,5777,5783,5789],{},[36,5778,5779,5782],{},[39,5780,5781],{},"Scalability:"," The ability of the verification process to handle increasing task complexity and volume without manual bottlenecks.",[36,5784,5785,5788],{},[39,5786,5787],{},"Faithfulness:"," How accurately the reward signal reflects the actual human intent, rather than just a superficial metric.",[36,5790,5791,5794],{},[39,5792,5793],{},"Robustness:"," The resistance of the reward signal to manipulation or \"hacking\" by the model during training.",[22,5796,5797],{},"The core challenge is that these three dimensions often conflict. A highly scalable, automated test might lack the nuance (faithfulness) required for complex, real-world engineering tasks, while a human-in-the-loop approach is highly faithful but fails the scalability test.",[17,5799,5801],{"id":5800},"evolving-verification-strategies","Evolving Verification Strategies",[22,5803,5804],{},"The paper analyzes four distinct reward constructions, demonstrating that no single approach is a \"silver bullet\":",[5806,5807,5808,5814,5820,5826],"ol",{},[36,5809,5810,5813],{},[39,5811,5812],{},"Test Verifiers:"," Best for general coding tasks but limited by the quality of the test suite.",[36,5815,5816,5819],{},[39,5817,5818],{},"Rubric Verifiers:"," Effective for structured tasks like frontend development where specific constraints can be codified.",[36,5821,5822,5825],{},[39,5823,5824],{},"Human-as-Verifier:"," The gold standard for real-world agent tasks, providing high faithfulness but low scalability.",[36,5827,5828,5831],{},[39,5829,5830],{},"Automated Agent Verifiers:"," A promising approach for long-horizon tasks where the agent itself acts as a critic.",[22,5833,5834],{},"The central takeaway is that reward design is not a \"set and forget\" task. As policy capability increases, static reward functions inevitably lose their effectiveness. To maintain performance, verification mechanisms must be treated as dynamic systems that co-evolve alongside the generator models they are meant to supervise.",{"title":57,"searchDepth":58,"depth":58,"links":5836},[5837,5838,5839],{"id":5763,"depth":58,"text":5764},{"id":5770,"depth":58,"text":5771},{"id":5800,"depth":58,"text":5801},[64],{"content_references":5842,"triage":5843},[],{"relevance":91,"novelty":91,"quality":91,"actionability":92,"composite":5844,"reasoning":5845},3.8,"Category: AI & LLMs. The article discusses the evolving challenges in verifying AI coding agents, addressing a specific pain point about the difficulty of ensuring human intent is captured in automated systems. It presents new insights into verification strategies, which can inform product builders about potential pitfalls and considerations when integrating AI agents into their workflows.","\u002Fsummaries\u002Fa2a59515cfb764dc-the-verification-horizon-why-coding-agents-need-ev-summary","2026-06-26 12:58:19",{"title":5753,"description":57},{"loc":5846},"a2a59515cfb764dc","arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.26300","summaries\u002Fa2a59515cfb764dc-the-verification-horizon-why-coding-agents-need-ev-summary",[107,5855,109,110],"machine-learning","As AI coding agents improve, generating code becomes easier than verifying it. Because no static reward function can perfectly capture human intent, verification must co-evolve with model capabilities to prevent reward hacking.",[110],"a1cSrE66zBxIUyYHhCA9aYZ9yUKSz5sEV59ZVb6Jijo",{"id":5860,"title":5861,"ai":5862,"body":5867,"categories":5918,"created_at":65,"date_modified":65,"description":57,"extension":66,"faq":65,"featured":67,"kicker_label":65,"meta":5919,"navigation":95,"path":5923,"published_at":5847,"question":65,"scraped_at":5847,"seo":5924,"sitemap":5925,"source_id":5926,"source_name":5851,"source_type":103,"source_url":5927,"stem":5928,"tags":5929,"thumbnail_url":65,"tldr":5931,"tweet":65,"unknown_tags":5932,"__hash__":5933},"summaries\u002Fsummaries\u002Fadc718e7c1350c24-evaluating-llm-agents-in-high-stakes-energy-analyt-summary.md","Evaluating LLM Agents in High-Stakes Energy Analytics",{"provider":7,"model":8,"input_tokens":5863,"output_tokens":5864,"processing_time_ms":5865,"cost_usd":5866},6041,462,3132,0.00220325,{"type":14,"value":5868,"toc":5913},[5869,5873,5876,5880,5883,5903,5906,5910],[17,5870,5872],{"id":5871},"bridging-the-gap-in-domain-specific-agent-benchmarking","Bridging the Gap in Domain-Specific Agent Benchmarking",[22,5874,5875],{},"Most existing agent benchmarks focus on general-purpose tasks or static knowledge recall. This research addresses a critical void in the energy sector, which demands high-stakes, real-world capabilities: live data retrieval, complex regulatory interpretation, and multi-step quantitative reasoning. The authors introduce a new evaluation environment comprising 243 expert-curated problems designed to test how LLM agents perform when equipped with specialized domain tools.",[17,5877,5879],{"id":5878},"the-evaluation-framework","The Evaluation Framework",[22,5881,5882],{},"The benchmark categorizes tasks into three distinct domains to stress-test agentic reasoning:",[33,5884,5885,5891,5897],{},[36,5886,5887,5890],{},[39,5888,5889],{},"Market Data Retrieval and Analysis:"," Involves interacting with live electricity market APIs from major U.S. Independent System Operators (ISOs).",[36,5892,5893,5896],{},[39,5894,5895],{},"Knowledge Retrieval and Interpretation:"," Focuses on navigating regulatory dockets and utility tariff databases using retrieval-augmented generation (RAG).",[36,5898,5899,5902],{},[39,5900,5901],{},"Advanced Quantitative Modeling:"," Requires agents to perform asset revenue estimation, hedging strategy analysis, and optimization modeling.",[22,5904,5905],{},"To ensure rigorous assessment, the authors employ a multi-dimensional protocol that scores agents based on approach correctness, answer accuracy, attribute alignment, and source validity. The framework utilizes category-aware routing, ensuring that the scoring criteria are tailored to the specific nature of the task (e.g., quantitative vs. qualitative).",[17,5907,5909],{"id":5908},"insights-on-tool-augmented-performance","Insights on Tool-Augmented Performance",[22,5911,5912],{},"The study provides a comparative analysis of both closed-source and open-source models, specifically examining the interaction between model reasoning capabilities and domain-specific tooling. By releasing the benchmark and its associated artifacts, the authors aim to establish a reproducible standard for evaluating AI agents in professional, high-stakes environments where accuracy and source reliability are paramount.",{"title":57,"searchDepth":58,"depth":58,"links":5914},[5915,5916,5917],{"id":5871,"depth":58,"text":5872},{"id":5878,"depth":58,"text":5879},{"id":5908,"depth":58,"text":5909},[64],{"content_references":5920,"triage":5921},[],{"relevance":90,"novelty":91,"quality":91,"actionability":92,"composite":93,"reasoning":5922},"Category: AI & LLMs. The article presents a new benchmark for evaluating LLM agents in the energy sector, addressing a specific audience pain point regarding the application of AI in high-stakes environments. It offers insights into the evaluation framework and performance metrics, which can inform product builders about the capabilities of AI agents in specialized domains.","\u002Fsummaries\u002Fadc718e7c1350c24-evaluating-llm-agents-in-high-stakes-energy-analyt-summary",{"title":5861,"description":57},{"loc":5923},"adc718e7c1350c24","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.26346","summaries\u002Fadc718e7c1350c24-evaluating-llm-agents-in-high-stakes-energy-analyt-summary",[107,5930,108,110],"data-science","A new benchmark of 243 expert-curated energy tasks reveals how tool-augmented LLM agents handle live data, regulatory knowledge, and quantitative modeling in professional energy markets.",[110],"VDI34L-g_eZ2d8zUgITK4_q10cI79IQ98SWVq_0tGqc",{"id":5935,"title":5936,"ai":5937,"body":5942,"categories":6024,"created_at":65,"date_modified":65,"description":57,"extension":66,"faq":65,"featured":67,"kicker_label":65,"meta":6025,"navigation":95,"path":6045,"published_at":6046,"question":65,"scraped_at":6047,"seo":6048,"sitemap":6049,"source_id":6050,"source_name":6051,"source_type":6052,"source_url":6053,"stem":6054,"tags":6055,"thumbnail_url":6057,"tldr":6058,"tweet":6059,"unknown_tags":6060,"__hash__":6061},"summaries\u002Fsummaries\u002F6a2df319877f8e98-recursive-coding-agents-managing-ai-geniuses-summary.md","Recursive Coding Agents: Managing AI Geniuses",{"provider":7,"model":8,"input_tokens":5938,"output_tokens":5939,"processing_time_ms":5940,"cost_usd":5941},7600,934,5198,0.003301,{"type":14,"value":5943,"toc":6018},[5944,5948,5951,5955,5958,5961,5981,5984,5988,5991,6011,6015],[17,5945,5947],{"id":5946},"the-mismanaged-genius-problem","The \"Mismanaged Genius\" Problem",[22,5949,5950],{},"Modern LLMs possess sufficient intelligence to solve complex coding tasks, yet they fail to deliver reliable outcomes. The bottleneck is not raw model capability but the lack of a management layer to specify, verify, and reuse work. Raymond Weitekamp argues that the solution lies in treating agents as \"mismanaged geniuses\" that require better orchestration rather than more raw intelligence.",[17,5952,5954],{"id":5953},"recursive-language-models-rlms-as-reasoning-engines","Recursive Language Models (RLMs) as Reasoning Engines",[22,5956,5957],{},"RLMs represent a paradigm shift in inference-time compute by marrying tool calling with reasoning. Unlike standard prompting, where a model reads a static context, an RLM treats the context as a variable to be manipulated symbolically.",[22,5959,5960],{},"Key characteristics of an RLM include:",[33,5962,5963,5969,5975],{},[36,5964,5965,5968],{},[39,5966,5967],{},"Externalized Context:"," The prompt is not fully loaded into the context window; instead, the model uses tools to explore it symbolically.",[36,5970,5971,5974],{},[39,5972,5973],{},"Recursive Decomposition:"," The model breaks down a problem into sub-tasks, delegating them to sub-agents (or sub-RLMs) that operate independently.",[36,5976,5977,5980],{},[39,5978,5979],{},"Executable Environment:"," The reasoning process is unified with code execution, allowing the agent to \"reason through tool calling.\"",[22,5982,5983],{},"This approach allows smaller models (e.g., Qwen 2.5 7B) to outperform frontier models on long-reasoning tasks by maintaining a thread of execution through recursive calls that exceed the limitations of a single context window.",[17,5985,5987],{"id":5986},"implementing-recursive-coding-agents","Implementing Recursive Coding Agents",[22,5989,5990],{},"To transform standard coding agents into RLMs, developers must implement a harness that allows the agent to call itself or other agents recursively.",[33,5992,5993,5999,6005],{},[36,5994,5995,5998],{},[39,5996,5997],{},"Pi (Coding Agent):"," A minimal, extensible agent that now supports pure recursive extensions, allowing for deep, nested task execution.",[36,6000,6001,6004],{},[39,6002,6003],{},"Open Pros:"," A markdown-based programming language that allows users to declare sub-agent workflows. It enables developers to define explicit dependencies (skills\u002Ftools) for sub-agents, ensuring they are configured correctly before executing their portion of a contract.",[36,6006,6007,6010],{},[39,6008,6009],{},"Dynamic Workflows:"," Tools like Anthropic's Claude Code now support dynamic workflows, which effectively turn them into RLMs by enabling recursive, multi-step agentic loops.",[17,6012,6014],{"id":6013},"capturing-reliability","Capturing Reliability",[22,6016,6017],{},"Reliability is achieved by moving from \"one-off\" prompts to reusable workflows. Weitekamp demonstrates that agents can be instructed to deconstruct a \"golden session\"—a successful execution path—into a reusable program (such as an Open Pros markdown file). This allows developers to codify successful reasoning patterns, ensuring that the agent can replicate high-performance results consistently across different tasks, such as bug sweeps, large-scale refactors, or adversarial audits.",{"title":57,"searchDepth":58,"depth":58,"links":6019},[6020,6021,6022,6023],{"id":5946,"depth":58,"text":5947},{"id":5953,"depth":58,"text":5954},{"id":5986,"depth":58,"text":5987},{"id":6013,"depth":58,"text":6014},[64],{"content_references":6026,"triage":6042},[6027,6031,6034,6037,6039],{"type":76,"title":6028,"url":6029,"context":6030},"recursivecodingagents.com","https:\u002F\u002Frecursivecodingagents.com","recommended",{"type":76,"title":6032,"url":6033,"context":6030},"Open Pros","https:\u002F\u002Fgithub.com\u002Fopenprose\u002Fopenprose",{"type":76,"title":6035,"url":6036,"context":74},"Pi","https:\u002F\u002Fgithub.com\u002Fmario-pi\u002Fpi",{"type":76,"title":77,"url":6038,"context":74},"https:\u002F\u002Fwww.anthropic.com\u002Fnews\u002Fclaude-code",{"type":80,"title":6040,"author":6041,"context":88},"Recursive Language Models paper","Alex Zang, Zed Lee, Omar Khattab",{"relevance":90,"novelty":91,"quality":91,"actionability":91,"composite":6043,"reasoning":6044},4.35,"Category: AI & LLMs. The article discusses Recursive Language Models (RLMs) and their application in managing AI agents, addressing the pain point of unreliable outcomes in AI coding tasks. It provides actionable insights on implementing RLMs, including specific tools like Pi and Open Pros, which developers can use to enhance their coding agents.","\u002Fsummaries\u002F6a2df319877f8e98-recursive-coding-agents-managing-ai-geniuses-summary","2026-06-25 21:00:06","2026-06-26 12:56:24",{"title":5936,"description":57},{"loc":6045},"6a2df319877f8e98","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=3hXJI2q0Jz8","summaries\u002F6a2df319877f8e98-recursive-coding-agents-managing-ai-geniuses-summary",[107,6056,109,108],"llm","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002F3hXJI2q0Jz8\u002Fhqdefault.jpg","Recursive Language Models (RLMs) improve agent reliability by treating context as an object of computation, allowing agents to decompose complex tasks into recursive sub-agent calls that verify and execute work symbolically.","This talk provides a high-level overview of Recursive Language Models (RLMs) and how their \"inference-time compute\" patterns can be applied to coding agents. The speaker explains the core concept—using symbolic manipulation and recursive sub-agent calls to bypass context window limits—and demonstrates how to implement this recursion using [Pi](https:\u002F\u002Fgithub.com\u002Fmario-p-i\u002Fpi) extensions.",[],"jbAZocQGq7eJMiiP0ekIxxnj1m7I5jbExCuu0lGEdbA"]