--- title: "AI Sandboxes" category: "topics" sourceLabels: ["Slide/video-derived supporting context"] --- # AI Sandboxes ## Overview AI sandboxes are controlled execution environments where agents can run code, browse, inspect files, call tools, or manipulate artifacts without putting the host system at unnecessary risk. A sandbox gives the agent enough power to do real work while limiting filesystem, network, credential, and process access. ## Conference Context The pattern comes from operating-system isolation, browser sandboxes, CI runners, notebooks, container platforms, and secure code-execution services. Agentic coding and computer-use systems made sandboxing a default requirement rather than a specialty feature. ## How This Theme Evolved - **World's Fair 2024 (local comparison fixture):** Human oversight and infrastructure were broad safeguards around AI systems. - **Miami 2026 (public comparison wiki):** Remote agents and sandboxed compute made runtime boundaries part of developer workflow. - **World's Fair 2025 (local comparison fixture):** The comparison corpus foregrounded containment, identity, OAuth, access control, and code-execution safety. - **World's Fair 2026 (current event synthesis backed by linked local evidence):** The linked conference graph treats sandboxes, tool permissions, provenance, and eval gates as one operational control surface. **Confidence:** high. **Boundary:** Earlier event wikis are comparison context only. They are not primary evidence for World's Fair 2026 claims, and no local fixture is represented as a public live site. **Comparison source:** [[aie-wiki-generation-delta]]. ## Significance Agents need to experiment, test, and inspect state. Sandboxes let them do that while containing failures, malicious inputs, runaway processes, and accidental destructive changes. ## Why This Matters Now Agents increasingly execute code and use credentials rather than only returning text, so correctness and blast-radius control must be designed together. **WF26 evidence gate:** this section was emitted only because the page links to configured local evidence. Relevant configured evidence: [[2026-06-30-robert-brennan-sandboxes-aren-t-optional-runtime-isolation-patterns-for-coding-agents-at-scale]], [[2026-06-30-samuel-colvin-your-agent-needs-a-sandbox-not-a-desert]]. **Confidence:** high. Comparison history is context; linked WF26 pages remain the evidence for current-event claims. ## Applied Use Choose isolation based on risk: separate processes for low-risk tasks, containers or microVMs for untrusted code, and policy-controlled network and secret access for production work. Capture logs, diffs, artifacts, and resource usage so human operators can review what happened. They are useful in coding assistants, data-analysis agents, browser agents, app builders, test runners, educational tools, and any system that executes generated code or commands. Use a sandbox whenever an agent can execute code, inspect user files, download dependencies, browse unknown sites, or run untrusted scripts. Loosen limits only after the workflow and threat model are well understood. Choose isolation based on risk: separate processes for low-risk tasks, containers or microVMs for untrusted code, and policy-controlled network and secret access for production work. Capture logs, diffs, artifacts, and resource usage so human operators can review what happened. They are useful in coding assistants, data-analysis agents, browser agents, app builders, test runners, educational tools, and any system that executes generated code or commands. Use a sandbox whenever an agent can execute code, inspect user files, download dependencies, browse unknown sites, or run untrusted scripts. Loosen limits only after the workflow and threat model are well understood. Choose isolation based on risk: separate processes for low-risk tasks, containers or microVMs for untrusted code, and policy-controlled network and secret access for production work. Capture logs, diffs, artifacts, and resource usage so human operators can review what happened. They are useful in coding assistants, data-analysis agents, browser agents, app builders, test runners, educational tools, and any system that executes generated code or commands. Use a sandbox whenever an agent can execute code, inspect user files, download dependencies, browse unknown sites, or run untrusted scripts. Loosen limits only after the workflow and threat model are well understood. Choose isolation based on risk: separate processes for low-risk tasks, containers or microVMs for untrusted code, and policy-controlled network and secret access for production work. Capture logs, diffs, artifacts, and resource usage so human operators can review what happened. They are useful in coding assistants, data-analysis agents, browser agents, app builders, test runners, educational tools, and any system that executes generated code or commands. Use a sandbox whenever an agent can execute code, inspect user files, download dependencies, browse unknown sites, or run untrusted scripts. Loosen limits only after the workflow and threat model are well understood. Choose isolation based on risk: separate processes for low-risk tasks, containers or microVMs for untrusted code, and policy-controlled network and secret access for production work. Capture logs, diffs, artifacts, and resource usage so human operators can review what happened. They are useful in coding assistants, data-analysis agents, browser agents, app builders, test runners, educational tools, and any system that executes generated code or commands. Use a sandbox whenever an agent can execute code, inspect user files, download dependencies, browse unknown sites, or run untrusted scripts. Loosen limits only after the workflow and threat model are well understood. Choose isolation based on risk: separate processes for low-risk tasks, containers or microVMs for untrusted code, and policy-controlled network and secret access for production work. Capture logs, diffs, artifacts, and resource usage so human operators can review what happened. They are useful in coding assistants, data-analysis agents, browser agents, app builders, test runners, educational tools, and any system that executes generated code or commands. Use a sandbox whenever an agent can execute code, inspect user files, download dependencies, browse unknown sites, or run untrusted scripts. Loosen limits only after the workflow and threat model are well understood. ## Practical Lesson Give each run the minimum tools, credentials, network reach, filesystem scope, and lifetime it needs; capture actions and outputs so approval and incident review use the same evidence trail. **Confidence:** high. Treat this as synthesis derived from the linked evidence graph, not as an official schedule claim. ## Connections - [[2026-06-30-pierluca-d-oro-computer-use-at-the-edge-of-the-statistical-precipice]] — Computer Use at the Edge of the Statistical Precipice; [[pierluca-d-oro|Pierluca D'Oro]] (Day 3 — Session Day 2 · 11:10am-11:30am · Computer Use; official schedule) - [[2026-06-30-robert-brennan-sandboxes-aren-t-optional-runtime-isolation-patterns-for-coding-agents-at-scale]] — Sandboxes Aren't Optional: Runtime Isolation Patterns for Coding Agents at Scale; [[robert-brennan|Robert Brennan]] (Day 3 — Session Day 2 · 3:20pm-3:40pm · Sandbox & Platform Engineering; official schedule) - [[2026-06-30-samuel-colvin-your-agent-needs-a-sandbox-not-a-desert]] — Your agent needs a sandbox, not a desert; [[samuel-colvin|Samuel Colvin]] (Day 3 — Session Day 2 · 12:05pm-12:25pm · Sandbox & Platform Engineering; official schedule) - [[2026-06-29-tushar-jain-unlock-agent-autonomy-the-runtime-for-ai-native-systems]] — Unlock Agent Autonomy: The Runtime for AI-Native Systems; [[tushar-jain|Tushar Jain]] (Day 2 — Session Day 1 · 3:45pm-4:05pm · AI Architects: Show my Workflow; official schedule) - [[2026-06-30-abhishek-bhardwaj-from-fork-to-fleet-designing-an-agent-sandbox-cloud-pt-1]] — From fork() to Fleet: Designing an Agent Sandbox Cloud Pt 1; [[abhishek-bhardwaj|Abhishek Bhardwaj]] (Day 3 — Session Day 2 · 1:30pm-1:50pm · Sandbox & Platform Engineering; official schedule) - [[2026-06-30-abhishek-bhardwaj-from-fork-to-fleet-designing-an-agent-sandbox-cloud-pt2]] — From fork() to Fleet: Designing an Agent Sandbox Cloud Pt2; [[abhishek-bhardwaj|Abhishek Bhardwaj]] (Day 3 — Session Day 2 · 1:55pm-2:15pm · Sandbox & Platform Engineering; official schedule) - [[2026-06-30-ivan-burazin-kubernetes-is-not-your-sandbox]] — Kubernetes Is Not Your Sandbox; [[ivan-burazin|Ivan Burazin]] (Day 3 — Session Day 2 · 11:40am-12:00pm · Sandbox & Platform Engineering; official schedule) - [[2026-06-30-kevin-orellana-1-000-agent-tasks-in-a-sandbox-what-breaks-when-llms-write-and-run-code]] — 1,000 Agent Tasks in a Sandbox: What Breaks When LLMs Write and Run Code; [[kevin-orellana|Kevin Orellana]] (Day 3 — Session Day 2 · 2:25pm-2:45pm · Sandbox & Platform Engineering; official schedule) - [[2026-06-30-adam-azzam-don-t-build-agents-build-environments]] — Don’t build agents, build environments; [[adam-azzam|Adam Azzam]] (Day 3 — Session Day 2 · 10:45am-11:05am · Sandbox & Platform Engineering; official schedule) - [[2026-06-29-matt-brockman-how-i-learned-to-stop-worrying-and-love-the-sandbox]] — How I learned to stop worrying and love the sandbox; [[matt-brockman|Matt Brockman]] (Day 1 — Workshop Day · 11:05am-12:05pm · Workshops Day 1; official schedule) - [[2026-06-29-alexander-embiricos-the-golden-age-of-ai-engineering]] — The Golden Age of AI Engineering; [[alexander-embiricos|Alexander Embiricos]], [[romain-huet|Romain Huet]] (Day 2 — Session Day 1 · 9:25am-9:45am · Software Factories; verified event YouTube resource; via [[youtube-pMggiOb18tc]]) - [[2026-06-30-liad-yosef-mcp-apps-extending-the-frontier]] — MCP Apps - Extending the frontier; [[liad-yosef|Liad Yosef]], [[ido-salomon|Ido Salomon]] (Day 3 — Session Day 2 · 2:25pm-2:45pm · Context Engineering; verified event YouTube resource; via [[youtube-o-zkvb0iFDQ]]) - [[2026-07-01-arun-sekhar-blast-radius-zero-one-command-openclaw-sandboxes-in-the-cloud]] — Blast Radius Zero: One‑Command OpenClaw Sandboxes in the Cloud; [[arun-sekhar|Arun Sekhar]] (Day 4 — Session Day 3 · 1:55pm-2:15pm · Track M; official schedule) - [[2026-06-29-derek-meegan-deploying-browser-agents-at-scale]] — Deploying browser agents at scale; [[derek-meegan|Derek Meegan]] (Day 2 — Session Day 1 · 1:55pm-2:15pm · Expo Stage 4 SE; official schedule) - [[2026-06-29-ross-taylor-scaling-to-long-horizons-algorithms-environments-compute]] — Scaling to Long-Horizons: Algorithms, Environments, Compute; [[ross-taylor|Ross Taylor]], [[chengxi-taylor|Chengxi Taylor]] (Day 2 — Session Day 1 · 2:25pm-2:45pm · Data Quality; official schedule) - [[2026-07-01-miguel-gonz-lez-fern-ndez-the-art-of-building-verifiers-for-computer-use-agents]] — The Art of Building Verifiers for Computer Use Agents; [[miguel-gonz-lez-fern-ndez|Miguel González Fernández]], [[corby-rosset|Corby Rosset]] (Day 4 — Session Day 3 · 11:40am-12:00pm · Expo Stage 1 NE; official schedule) - [[2026-07-01-rowan-christmas-yolo-mode-safely-microvm-sandboxes-for-any-agent]] — YOLO Mode, Safely: microVM Sandboxes for Any Agent; [[rowan-christmas|Rowan Christmas]] (Day 4 — Session Day 3 · 1:30pm-1:50pm · Expo Stage 2 NW; official schedule) - [[2026-06-29-rayan-garg-rethinking-environments-for-long-horizon-work]] — Rethinking Environments for Long Horizon Work; [[rayan-garg|Rayan Garg]] (Day 2 — Session Day 1 · 11:40am-12:00pm · Data Quality; official schedule) - [[2026-06-29-mahesh-sathiamoorthy-data-and-environment-curation-for-post-training-llms]] — Data and Environment Curation for Post-training LLMs; [[mahesh-sathiamoorthy|Mahesh Sathiamoorthy]] (Day 2 — Session Day 1 · 3:45pm-4:05pm · Data Quality; official schedule) - [[2026-06-30-tina-manghnani-from-framework-to-runtime-running-agents-with-foundry-agent-service]] — From framework to runtime: running agents with Foundry Agent Service; [[tina-manghnani|Tina Manghnani]], [[keiji-kanazawa|Keiji Kanazawa]] (Day 3 — Session Day 2 · 10:45am-11:05am · Track M; official schedule) - [[2026-06-30-viren-baraiya-harnessing-agents-the-durable-runtime-for-dynamic-workflows]] — Harnessing Agents: The Durable Runtime for Dynamic Workflows; [[viren-baraiya|Viren Baraiya]] (Day 3 — Session Day 2 · 11:10am-11:30am · Expo Stage 1 NE; official schedule) - [[2026-07-01-yohei-nakajima-active-graph-agent-runtime-babyagi-4]] — Active Graph Agent Runtime (BabyAGI 4); [[yohei-nakajima|Yohei Nakajima]] (Day 4 — Session Day 3 · 11:10am-11:30am · Graphs; official schedule) - [[2026-06-29-ang-li-the-autonomous-computer-full-stack-infrastructure-for-computer-use-agents]] — The Autonomous Computer: Full-stack Infrastructure for Computer Use Agents; [[ang-li|Ang Li]] (Day 1 — Workshop Day · 4:30pm-5:30pm · Workshops Day 1; official schedule) - [[2026-06-30-philipp-schmid-why-agents-should-have-their-own-sandbox]] — Why Agents Should Have Their Own Sandbox; [[philipp-schmid|Philipp Schmid]] (Day 3 — Session Day 2 · 1:30pm-1:50pm · Expo Stage 1; official schedule) - [[john-craft|John Craft]] - [[abhishek-bhardwaj|Abhishek Bhardwaj]] - [[arun-sekhar|Arun Sekhar]] - [[will-brown|Will Brown]] - [[tina-manghnani|Tina Manghnani]] - [[pierluca-d-oro|Pierluca D'Oro]] - [[robert-brennan|Robert Brennan]] - [[samuel-colvin|Samuel Colvin]] - [[tushar-jain|Tushar Jain]] - [[ivan-burazin|Ivan Burazin]] - [[kevin-orellana|Kevin Orellana]] - [[adam-azzam|Adam Azzam]] - [[matt-brockman|Matt Brockman]] - [[alexander-embiricos|Alexander Embiricos]] - [[romain-huet|Romain Huet]] - [[liad-yosef|Liad Yosef]] - [[ido-salomon|Ido Salomon]] - [[derek-meegan|Derek Meegan]] - [[ross-taylor|Ross Taylor]] - [[chengxi-taylor|Chengxi Taylor]] - [[miguel-gonz-lez-fern-ndez|Miguel González Fernández]] - [[corby-rosset|Corby Rosset]] - [[rowan-christmas|Rowan Christmas]] - [[rayan-garg|Rayan Garg]] - [[docker|Docker]] - [[microsoft|Microsoft]] - [[openai|OpenAI]] - [[browserbase|Browserbase]] - [[amazon-agi-lab|Amazon AGI Lab]] - [[prime-intellect|Prime Intellect]] - [[mcp-apps|MCP Apps]] - [[cua|Cua]] - [[typedef|typedef]] - [[oxylabs|Oxylabs]] - [[amazon-web-services|Amazon Web Services]] - [[navan|Navan]] - [[uber|Uber]] - [[warp|Warp]] - [[meta|Meta]] - [[yugabyte|Yugabyte]] - [[programma-labs|Programma Labs]] - [[openhands|OpenHands]] - [[mahesh-sathiamoorthy|Mahesh Sathiamoorthy]] - [[2026-06-29-alexander-embiricos-the-golden-age-of-ai-engineering]] — The Golden Age of AI Engineering; [[alexander-embiricos|Alexander Embiricos]], [[romain-huet|Romain Huet]] (Day 2 — Session Day 1 · 9:25am-9:45am · Software Factories; related YouTube resource; via [[youtube-pMggiOb18tc]]) - [[2026-06-30-liad-yosef-mcp-apps-extending-the-frontier]] — MCP Apps - Extending the frontier; [[liad-yosef|Liad Yosef]], [[ido-salomon|Ido Salomon]] (Day 3 — Session Day 2 · 2:25pm-2:45pm · Context Engineering; related YouTube resource; via [[youtube-o-zkvb0iFDQ]]) - [[youtube-4kYl2_mqmnQ-slides]] — I Run a Fleet of AI Agents Across Three Machines. Here's What Broke. - Kyle Jaejun Lee, KRAFTON (10 extracted slide frames) - [[youtube-qdZzND79mcg-slides]] — Beyond the Harness: A Journey Towards Adaptative Engineering - Rajiv Chandegra, Annicha Labs (16 extracted slide frames) - [[youtube-2IxD9OB3XuQ-slides]] — Continual Learning for AI Agents: From Failures to Durable Improvements - Soheil Feizi, RELAI (24 extracted slide frames) - [[youtube-sAOBXCDiDOs-slides]] — MCP Apps: Primitives, discovery, and the Future of Software - Pietro Zullo, Manufact, Inc (18 extracted slide frames) - [[youtube-vljxQZfJ9wY-slides]] — Production Evals For Agentic AI Systems - Nishant Gupta, Meta Superintelligence Labs (12 extracted slide frames) - [[2026-06-29-du-an-lightfoot-agents-that-own-their-inference-building-production-ai-agents-on-dedicated-gpus]] — Agents That Own Their Inference: Building Production AI Agents on Dedicated GPUs; [[du-an-lightfoot|Du'an Lightfoot]] (Day 1 — Workshop Day · 9:00am-11:00am · Track 7; related YouTube resource; via [[youtube-wFTVEDYVJT0]]) - [[2026-06-30-paul-klein-iv-bringing-agents-onto-the-world-wide-web]] — Bringing agents onto the world wide web; [[paul-klein-iv|Paul Klein IV]] (Day 3 — Session Day 2 · 11:40am-12:00pm · Computer Use; official schedule) - [[keiji-kanazawa|Keiji Kanazawa]] - [[viren-baraiya|Viren Baraiya]] - [[yohei-nakajima|Yohei Nakajima]] - [[ang-li|Ang Li]] ## Evidence Graph ### Transcript-backed resources - [[youtube-V-EDrhIhHzQ]] — The Prime Intellect Stack — Will Brown, Prime Intellect - [[youtube-ZSQb5fzRFPw]] — Computer-Use 2.0: Agents Just Got Multi-Cursor — Francesco Bonacci, Cua - [[youtube-pMggiOb18tc]] — The Golden Age of AI Engineering — Alexander Embiricos & Romain Huet & Peter Steinberger, OpenAI - [[youtube-o-zkvb0iFDQ]] — MCP UI: Extending the frontier — Liad Yosef and Ido Salomon, MCP Apps ### Quote signals - “So there is a lot of like dark magic like happening behind the wood just to uh give you some context.” — [[youtube-ZSQb5fzRFPw]] - “And if you ask us how we trust that agent, the answer is that it's just evows all the way down.” — [[youtube-ZSQb5fzRFPw]] ### Transcript-backed resources ### Transcript-backed resources ### Transcript-backed resources ### Transcript-backed resources - [[youtube-Rx8f05JI_WA]] — SWE-Marathon: Evaluating Coding Agents at Billion-Token Scale - Rishi Desai, Abundant AI - [[youtube-2IxD9OB3XuQ]] — Continual Learning for AI Agents: From Failures to Durable Improvements - Soheil Feizi, RELAI - [[youtube-SKDJo2CopRs]] — Why Eval++ Is the Next Great Compute Primitive — Sunil Pai & Matt Carey, Cloudflare - [[youtube-JnubYCYunk8]] — Browser Agents Don't Need Better Models. They Need Better Eyes. - Kushan Raj, ARK - [[youtube-wFTVEDYVJT0]] — Building Agents with Amazon Nova Act and MCP - Du'An Lightfoot, Amazon (Full Workshop) - [[youtube-c-2eEv2ou7Y]] — Why MCP and ChatGPT Apps Use Double Iframes — Frédéric Barthelet, Alpic - [[youtube-TNwJ1LMiENk]] — Stop Making Models Bigger, Make Them Behave — Kobie Crawford, Snorkel - [[youtube-grdoOC1BT1s]] — Think You Can Build a Game with AI? Think Again! - Danielle An & David Hoe, Meta - [[youtube-4uFVSLgD2Q4]] — Agents in Production: How OpenGov Built and Scaled OG Assist - Gabe De Mesa, OpenGov - [[youtube-YYH0DMQr30A]] — Task Fidelity Scaling Laws — Kobie Crawdord, Snorkel - [[youtube-UPwGaM2MKHY]] — The Log Is The Agent - Ishaan Sehgal, Omnara - [[youtube-bRnoEpoK5m4]] — The Pipeline Is Dead - Iris ten Teije, Sky Valley Ambient Computing - [[youtube-ILdE7FaAjVA]] — Under 5 minutes to a deployed LLM endpoint — Audry Hsu, RunPod - [[youtube-_B4Pv9ttFgY]] — Building Agent Interfaces: Lessons from Chrome DevTools (MCP) for Agents — Michael Hablich, Google - [[youtube-4kYl2_mqmnQ]] — I Run a Fleet of AI Agents Across Three Machines. Here's What Broke. - Kyle Jaejun Lee, KRAFTON - [[youtube-qlHaO6laBlM]] — Shipping Production AI Inside Government — William Tarr, Ministry of Justice - [[youtube-ghJmWQCIHRM]] — The agent-ready web: Simplify user actions with WebMCP — Tara Agyemang, Google - [[youtube-HvZXAOZ3iv8]] — What Lies Beneath the API — Benjamin Cowen, Modal ### Transcript-backed resources This evidence graph consolidates scheduled talks, linked videos, transcripts, and slide-derived material connected to this topic. ### Linked Sessions - [[2026-06-30-pierluca-d-oro-computer-use-at-the-edge-of-the-statistical-precipice|Computer Use at the Edge of the Statistical Precipice]] - [[2026-06-30-robert-brennan-sandboxes-aren-t-optional-runtime-isolation-patterns-for-coding-agents-at-scale|Sandboxes Aren't Optional: Runtime Isolation Patterns for Coding Agents at Scale]] - [[2026-06-30-samuel-colvin-your-agent-needs-a-sandbox-not-a-desert|Your agent needs a sandbox, not a desert]] - [[2026-06-29-tushar-jain-unlock-agent-autonomy-the-runtime-for-ai-native-systems|Unlock Agent Autonomy: The Runtime for AI-Native Systems]] - [[2026-06-30-abhishek-bhardwaj-from-fork-to-fleet-designing-an-agent-sandbox-cloud-pt-1|'From fork() to Fleet: Designing an Agent Sandbox Cloud Pt 1']] - [[2026-06-30-abhishek-bhardwaj-from-fork-to-fleet-designing-an-agent-sandbox-cloud-pt2|'From fork() to Fleet: Designing an Agent Sandbox Cloud Pt2']] - [[2026-06-30-ivan-burazin-kubernetes-is-not-your-sandbox|Kubernetes Is Not Your Sandbox]] - [[2026-06-30-kevin-orellana-1-000-agent-tasks-in-a-sandbox-what-breaks-when-llms-write-and-run-code|1,000 Agent Tasks in a Sandbox: What Breaks When LLMs Write and Run Code]] - [[2026-06-30-adam-azzam-don-t-build-agents-build-environments|Don’t build agents, build environments]] - [[2026-06-29-matt-brockman-how-i-learned-to-stop-worrying-and-love-the-sandbox|How I learned to stop worrying and love the sandbox]] ### Media Signals - `youtube-rcsliSIy_YU` — 8 slide-derived text signals - Slide-derived themes for `youtube-rcsliSIy_YU`: coding, code, snippets, generation, single, atomic, tasks, curl. - Evidence links for `youtube-rcsliSIy_YU`: [[youtube-rcsliSIy_YU]], [[youtube-rcsliSIy_YU-slides]], [[youtube-rcsliSIy_YU-dense-slides]], [[youtube-rcsliSIy_YU-reconstructed-slides]] - `youtube-bmWZk9vTze0` — 10 slide-derived text signals - Slide-derived themes for `youtube-bmWZk9vTze0`: query, client, info, table, tool, call, response, await. - Evidence links for `youtube-bmWZk9vTze0`: [[youtube-bmWZk9vTze0]], [[youtube-bmWZk9vTze0-slides]], [[youtube-bmWZk9vTze0-dense-slides]], [[youtube-bmWZk9vTze0-reconstructed-slides]] - `youtube-wsFd22SL1s8` — 10 slide-derived text signals - Slide-derived themes for `youtube-wsFd22SL1s8`: systems, chrome, code, sandboxes, operating, distributed, windows, subsystem. - Evidence links for `youtube-wsFd22SL1s8`: [[youtube-wsFd22SL1s8]], [[youtube-wsFd22SL1s8-slides]], [[youtube-wsFd22SL1s8-dense-slides]], [[youtube-wsFd22SL1s8-reconstructed-slides]] - `youtube-e9sLVMN76qU` — 8 slide-derived text signals - Slide-derived themes for `youtube-e9sLVMN76qU`: most, today, tooling, breaks, moment, remove, human, loop. - Evidence links for `youtube-e9sLVMN76qU`: [[youtube-e9sLVMN76qU]], [[youtube-e9sLVMN76qU-slides]], [[youtube-e9sLVMN76qU-reconstructed-slides]] ## Source Coverage This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed. | Evidence type | Count | Review note | | --- | ---: | --- | | other | 40 | Related pages outside the main evidence categories. | | resources | 22 | Video/resource pages; check source status before treating as primary event evidence. | | slides | 16 | OCR or reconstructed slide evidence; mark claims as OCR-derived unless image-reviewed. | | talks | 24 | Official schedule pages; use for titles, speakers, tracks, and stated talk framing. | | tools | 5 | Derived inventory pages; use as entity context, not independent proof. | ### Talks - [[2026-06-30-pierluca-d-oro-computer-use-at-the-edge-of-the-statistical-precipice]] - [[2026-06-30-robert-brennan-sandboxes-aren-t-optional-runtime-isolation-patterns-for-coding-agents-at-scale]] - [[2026-06-30-samuel-colvin-your-agent-needs-a-sandbox-not-a-desert]] - [[2026-06-29-tushar-jain-unlock-agent-autonomy-the-runtime-for-ai-native-systems]] - [[2026-06-30-abhishek-bhardwaj-from-fork-to-fleet-designing-an-agent-sandbox-cloud-pt-1]] - [[2026-06-30-abhishek-bhardwaj-from-fork-to-fleet-designing-an-agent-sandbox-cloud-pt2]] ### Resources - [[youtube-wFTVEDYVJT0]] - [[youtube-Rx8f05JI_WA]] - [[youtube-2IxD9OB3XuQ]] - [[youtube-SKDJo2CopRs]] - [[youtube-JnubYCYunk8]] - [[youtube-c-2eEv2ou7Y]] ### Slides - [[youtube-4kYl2_mqmnQ-slides]] - [[youtube-qdZzND79mcg-slides]] - [[youtube-2IxD9OB3XuQ-slides]] - [[youtube-sAOBXCDiDOs-slides]] - [[youtube-vljxQZfJ9wY-slides]] - [[youtube-rcsliSIy_YU-slides]] ### Tools - [[docker]] - [[browserbase]] - [[mcp-apps]] - [[prime-intellect]] - [[openhands]] This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed. | other | 44 | Related pages outside the main evidence categories. | | resources | 24 | Video/resource pages; check source status before treating as primary event evidence. | | talks | 26 | Official schedule pages; use for titles, speakers, tracks, and stated talk framing. | ### Talks ### Resources - [[youtube-pMggiOb18tc]] - [[youtube-o-zkvb0iFDQ]] ### Slides ### Tools This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed. ### Talks ### Resources ### Slides ### Tools This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed. | resources | 25 | Video/resource pages; check source status before treating as primary event evidence. | ### Talks ### Resources - [[aie-wiki-generation-delta]] ### Slides ### Tools This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed. ### Talks ### Resources ### Slides ### Tools This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed. ### Talks ### Resources ### Slides ### Tools This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed. ### Talks ### Resources ### Slides ### Tools This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed. | other | 45 | Related pages outside the main evidence categories. | | resources | 26 | Video/resource pages; check source status before treating as primary event evidence. | | slides | 17 | OCR or reconstructed slide evidence; mark claims as OCR-derived unless image-reviewed. | ### Talks ### Resources - [[youtube-V-EDrhIhHzQ]] ### Slides ### Tools This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed. | resources | 27 | Video/resource pages; check source status before treating as primary event evidence. | ### Talks ### Resources - [[youtube-ZSQb5fzRFPw]] ### Slides ### Tools ## Active Use Cases - Running generated code and tests before suggesting a patch. - Browser or computer-use automation with constrained state. - Temporary workspaces for data analysis and document transformation. - Reproducible agent task environments for evaluations. ## Slide-Derived Supporting Decks - [[youtube--CnA2lGfymY-slides]] — "I've never seen anything scarier than an LLM with tool calls." — Erik Meijer aka @HeadinTheBox (32 extracted slide frames) - [[youtube-ZSQb5fzRFPw-slides]] — (17 extracted slide frames) These decks are slide/OCR support only; keep the article synopsis, origin, use cases, and schedule sections as the primary topic narrative. ## Slide-Derived Scheduled Session Signals - [[2026-06-29-erik-meijer-in-code-they-act-in-proof-we-trust]] — In Code They Act, In Proof We Trust