Coding Agents
Overview
Coding agents are AI systems that can inspect repositories, reason about requirements, edit files, run commands, test changes, and sometimes open pull requests or operate development tools. They move AI coding from autocomplete toward task execution.
Conference Context
They evolved from code completion, IDE assistants, program synthesis, CI automation, and software bots. The recent shift is tool use: agents can read context, make coordinated edits, run tests, and respond to feedback inside real development workflows.
Significance
Software work is full of local context, repetitive edits, dependency checks, and validation loops. Coding agents can compress that cycle, but only when they respect repository conventions, tests, review standards, and operational safety.
Applied Use
Give the agent a narrow task, repository context, tests or acceptance criteria, and permission boundaries. Require it to read before editing, keep diffs scoped, run validation, report residual risk, and leave the workspace clean.
They are useful in feature slices, bug fixes, test generation, refactors, migrations, docs updates, dependency audits, and operational scripts.
Use coding agents when the task has clear acceptance criteria and the repo has enough structure to validate changes. Keep humans in the loop for architecture decisions, risky production operations, and ambiguous product calls.
Give the agent a narrow task, repository context, tests or acceptance criteria, and permission boundaries. Require it to read before editing, keep diffs scoped, run validation, report residual risk, and leave the workspace clean.
They are useful in feature slices, bug fixes, test generation, refactors, migrations, docs updates, dependency audits, and operational scripts.
Use coding agents when the task has clear acceptance criteria and the repo has enough structure to validate changes. Keep humans in the loop for architecture decisions, risky production operations, and ambiguous product calls.
Give the agent a narrow task, repository context, tests or acceptance criteria, and permission boundaries. Require it to read before editing, keep diffs scoped, run validation, report residual risk, and leave the workspace clean.
They are useful in feature slices, bug fixes, test generation, refactors, migrations, docs updates, dependency audits, and operational scripts.
Use coding agents when the task has clear acceptance criteria and the repo has enough structure to validate changes. Keep humans in the loop for architecture decisions, risky production operations, and ambiguous product calls.
Give the agent a narrow task, repository context, tests or acceptance criteria, and permission boundaries. Require it to read before editing, keep diffs scoped, run validation, report residual risk, and leave the workspace clean.
They are useful in feature slices, bug fixes, test generation, refactors, migrations, docs updates, dependency audits, and operational scripts.
Use coding agents when the task has clear acceptance criteria and the repo has enough structure to validate changes. Keep humans in the loop for architecture decisions, risky production operations, and ambiguous product calls.
Give the agent a narrow task, repository context, tests or acceptance criteria, and permission boundaries. Require it to read before editing, keep diffs scoped, run validation, report residual risk, and leave the workspace clean.
They are useful in feature slices, bug fixes, test generation, refactors, migrations, docs updates, dependency audits, and operational scripts.
Use coding agents when the task has clear acceptance criteria and the repo has enough structure to validate changes. Keep humans in the loop for architecture decisions, risky production operations, and ambiguous product calls.
Give the agent a narrow task, repository context, tests or acceptance criteria, and permission boundaries. Require it to read before editing, keep diffs scoped, run validation, report residual risk, and leave the workspace clean.
They are useful in feature slices, bug fixes, test generation, refactors, migrations, docs updates, dependency audits, and operational scripts.
Use coding agents when the task has clear acceptance criteria and the repo has enough structure to validate changes. Keep humans in the loop for architecture decisions, risky production operations, and ambiguous product calls.
Connections
- 2026 06 29 will bond scaling code quality building ureview uber s multi agent code review engine — Scaling Code Quality: Building uReview, Uber’s Multi-Agent Code Review Engine; Will Bond, Ameya Ketkar (Day 2 — Session Day 1 · 12:05pm-12:25pm · AI-Native Enterprises; official schedule)
- 2026 06 29 owen halpert give your coding agents the power of turbogrep — Give your coding agents the power of turbogrep!; Owen Halpert (Day 2 — Session Day 1 · 11:10am-11:30am · Expo Stage 1 NE; official schedule)
- 2026 07 01 james le video has no memory here s how we built one — Video Has No Memory. Here's How We Built One.; James Le (Day 4 — Session Day 3 · 2:25pm-2:45pm · Graphs; official schedule)
- 2026 06 29 alexander embiricos the golden age of ai engineering — The Golden Age of AI Engineering; Alexander Embiricos, Romain Huet (Day 2 — Session Day 1 · 9:25am-9:45am · Software Factories; verified event YouTube resource; via youtube pMggiOb18tc)
- 2026 07 01 anirban chatterjee guide verify solve the engineering discipline agentic development demands — Guide, Verify, Solve: The Engineering Discipline Agentic Development Demands; Anirban Chatterjee (Day 4 — Session Day 3 · 11:40am-12:00pm · Agentic Engineering; official schedule)
- 2026 06 29 nnenna ndukwe how to build quality gates into agentic coding workflows — How to Build Quality Gates into Agentic Coding Workflows; Nnenna Ndukwe (Day 1 — Workshop Day · 11:05am-12:05pm · Workshops Day 1; official schedule)
- 2026 06 29 itamar friedman the last human code review building trust in ai generated code — The Last Human Code Review: Building Trust in AI-Generated Code; Itamar Friedman (Day 2 — Session Day 1 · 11:40am-12:00pm · AI Architects: Show my Workflow; official schedule)
- 2026 06 30 laurie voss the death of the code review — The Death of the Code Review; Laurie Voss (Day 3 — Session Day 2 · 12:05pm-12:25pm · AI Architects: Tokenmaxxing; official schedule)
- 2026 06 30 liad yosef mcp apps extending the frontier — MCP Apps - Extending the frontier; Liad Yosef, Ido Salomon (Day 3 — Session Day 2 · 2:25pm-2:45pm · Context Engineering; verified event YouTube resource; via youtube o zkvb0iFDQ)
- 2026 06 29 eyal blum how to get your org to adopt coding agents without shipping garbage — How to Get Your Org to Adopt Coding Agents (Without Shipping Garbage); Eyal Blum (Day 2 — Session Day 1 · 3:20pm-3:40pm · AI-Native Enterprises; official schedule)
- 2026 06 30 adi singh the next trillion users of the internet still don t have an identity — The Next Trillion Users of the Internet Still Don't Have an Identity; Adi Singh (Day 3 — Session Day 2 · 2:50pm-3:10pm · Sandbox & Platform Engineering; official schedule)
- 2026 07 01 ekaterina deyneka building an agentic video editor for mass consumer — Building an Agentic Video Editor for Mass Consumer; Ekaterina Deyneka (Day 4 — Session Day 3 · 11:40am-12:00pm · Generative Media; official schedule)
- 2026 07 01 denys linkov benchmarking coding agents on new vs legacy code bases — Benchmarking Coding Agents on New vs Legacy Code bases; Denys Linkov (Day 4 — Session Day 3 · 12:05pm-12:25pm · Agentic Engineering; official schedule)
- 2026 06 29 charlie guo cooking with codex — Cooking with Codex; Charlie Guo, Gabriel Chua (Day 1 — Workshop Day · 9:00am-11:00am · Workshops Day 1; official schedule)
- 2026 06 29 yoni michael the data context layer why data engineering agents need more than code and databases — The Data Context Layer: Why Data Engineering Agents Need More Than Code and Databases; Yoni Michael, Brandon Callender (Day 1 — Workshop Day · 2:20pm-4:20pm · Track 2; official schedule)
- 2026 06 30 ankit jain how to kill the code review — How to Kill the Code Review; Ankit Jain (Day 3 — Session Day 2 · 11:40am-12:00pm · AI Architects: Tokenmaxxing; official schedule)
- 2026 06 30 kamalakannan nandagopal beyond code generation api context for agentic engineering — Beyond Code Generation: API Context for Agentic Engineering; Kamalakannan Nandagopal (Day 3 — Session Day 2 · 2:25pm-2:45pm · Expo Stage 2 NW; official schedule)
- 2026 06 30 ben holmes llm knowledge bases a practical guide — LLM Knowledge Bases: a practical guide; Ben Holmes (Day 3 — Session Day 2 · 3:45pm-4:05pm · Memory & Continual Learning; official schedule)
- 2026 07 01 vasant kearney healthcare s agent bytecode x12 as the harness for ai agents — Healthcare’s Agent Bytecode: X12 as the Harness for AI Agents; Vasant Kearney (Day 4 — Session Day 3 · 1:55pm-2:15pm · AI in Healthcare; official schedule)
- 2026 06 30 alex volkov the z l continuum should ai engineers still read code — The Z/L Continuum: Should AI Engineers Still Read Code?; Alex Volkov (Day 3 — Session Day 2 · 10:45am-11:05am · AI Architects: Tokenmaxxing; verified event YouTube resource; via youtube ZpK5PWX2YRM)
- 2026 06 29 aditya gautam modality misalignment and originality attribution in short form video a multi agent approach at platform scale — Modality Misalignment and Originality Attribution in Short-Form Video: A Multi-Agent Approach at Platform Scale; Aditya Gautam (Day 2 — Session Day 1 · 12:05pm-12:25pm · Vision & OCR; official schedule)
- 2026 06 29 varun krovvidi 6 pillars of an agentic harness that fixes production incidents — 6 Pillars of an Agentic Harness That Fixes Production Incidents; Varun Krovvidi (Day 2 — Session Day 1 · 2:50pm-3:10pm · Expo Stage 1 NE; 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 (Day 3 — Session Day 2 · 3:20pm-3:40pm · Sandbox & Platform Engineering; official schedule)
- 2026 07 01 frank coyle anthropic s cca exam as a field guide for agentic engineering — Anthropic's CCA Exam as a Field-Guide for Agentic Engineering; Frank Coyle (Day 4 — Session Day 3 · 11:10am-11:30am · Agentic Engineering; official schedule)
- John Craft
- Laurie Voss
- Jason Liu
- Pamela Fox
- Ahmad Osman
- Sandhya Subramani
- Thor 雷神 Schaeff
- Dominik Kundel
- Philipp Schmid
- Liad Yosef
- Frank Coyle
- Kent C. Dodds
- Vlad Luzin
- Peter Werry
- Charlie Guo
- Idan Gazit
- Keiji Kanazawa
- swyx
- Brendan Rappazzo
- Arun Sekhar
- Christopher Manning
- Fuad Ali
- Zhengyao Jiang
- Justin Reock
- Microsoft
- OpenAI
- Docker
- Google DeepMind
- Arize AI
- Amazon Web Services
- Anthropic
- Together AI
- NVIDIA
- Weco AI
- WorkOS
- Unblocked
- Amazon AGI Lab
- PayPal
- MCP Apps
- Sonar
- Uber
- 2026 06 29 alexander embiricos the golden age of ai engineering — The Golden Age of AI Engineering; Alexander Embiricos, 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, Ido Salomon (Day 3 — Session Day 2 · 2:25pm-2:45pm · Context Engineering; related YouTube resource; via youtube o zkvb0iFDQ)
- 2026 06 30 alex volkov the z l continuum should ai engineers still read code — The Z/L Continuum: Should AI Engineers Still Read Code?; Alex Volkov (Day 3 — Session Day 2 · 10:45am-11:05am · AI Architects: Tokenmaxxing; related YouTube resource; via youtube ZpK5PWX2YRM)
- youtube iRcX54EO5g8 slides — Your agent is blindfolded — Johan Lajili, Poolside AI (5 extracted slide frames)
- youtube HEFSExa0xl0 slides — Teaching Coding Agents to do Spreadsheets - Nuno Campos, Witan Labs (11 extracted slide frames)
- youtube MpZzWMdmQCE slides — Your coding agent doesn't always follow your rules — Talha Sheikh, Checkout.com (5 extracted slide frames)
- 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 IQkVMvXQKLY slides — Your LLM Deception Monitor Is Broken. The Fix Is in the Training Data - Sachin Kumar, LexisNexis (14 extracted slide frames)
- youtube 2e9ANoOEn28 slides — What if the harness mattered more than the model? - Aditya Bhargava, Etsy (8 extracted slide frames)
- youtube CLttOU7n6sI slides — Respect The Process - Andrew Dumit, Watershed Technology Inc. (16 extracted slide frames)
- youtube UcYoMg 8 L8 slides — 500 people vibe-coded for 30 days. I was one of them. - Sanja Grbic, Automattic (11 extracted slide frames)
- youtube Rx8f05JI_WA slides — SWE-Marathon: Evaluating Coding Agents at Billion-Token Scale - Rishi Desai, Abundant AI (10 extracted slide frames)
- youtube kZsf_Sfm7RU slides — The Missing Layer After Launch - Raphael Kalandadze, Wandero AI (19 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 07 01 sheilah kirui seeing the plumbing profiling vllm speculative decoding on nvidia blackwell — Seeing the Plumbing: Profiling vLLM Speculative Decoding on NVIDIA Blackwell; Sheilah Kirui (Day 4 — Session Day 3 · 11:40am-12:00pm · Expo Stage 2 NW; official schedule)
- 2026 06 29 moritz johner we gave an agent production code access and then tried to sleep at night — We Gave an Agent Production Code Access and Then Tried to Sleep at Night; Moritz Johner (Day 2 — Session Day 1 · 11:40am-12:00pm · Security; official schedule)
- 2026 06 29 erik meijer in code they act in proof we trust — In Code They Act, In Proof We Trust; Erik Meijer (Day 2 — Session Day 1 · 4:50pm-5:10pm · Harness Engineering; official schedule)
Evidence Graph
Transcript-backed resources
- youtube ZpK5PWX2YRM — Should AI Engineers Still Read Code in 2026? The Z/L Continuum — Alex Volkov, ThursdAI
- youtube pMggiOb18tc — The Golden Age of AI Engineering — Alexander Embiricos & Romain Huet & Peter Steinberger, OpenAI
- youtube WkBPX oDMnA — Understanding is the new bottleneck — Geoffrey Litt, Notion
- youtube q4Tr DknG2M — Recursive Model Improvement — Lee Robinson, Cursor, SpaceXAI
- youtube 4sX_He5c4sI — WF2026: Autoresearch & Keynotes ft. Anthropic, Google DeepMind, Amazon AGI, Sonar, Arena, Recursive
- youtube 0vphxNt4wyk — Don't Ship Skills Without Evals — Philipp Schmid, Google DeepMind
- youtube 9fubhllmsBU — Field Guide to Fable — Thariq Shihipar, Anthropic
- youtube htM02KMNZnk — WF2026: Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai (GLM), MiniMax, HF
- youtube I2cbIws9j10 — WF26: Harness Engineering & Startup Battlefield ft. Garry Tan, Mike Krieger, @t3dotgg , DSPy
- youtube o zkvb0iFDQ — MCP UI: Extending the frontier — Liad Yosef and Ido Salomon, MCP Apps
- youtube 8G_1 3IO4ZQ — WTF Is the Context Layer? The Missing Infrastructure for Production Agents — Prukalpa Sankar
- 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
Quote signals
- “And so, uh, and we tried to give it context and not just constraints.” — youtube 9fubhllmsBU
- “And so uh and we tried to give it con context and not just constraints.” — youtube 4sX_He5c4sI
- “So, why can't you not just hand them more of your work and then literally just walk away and trust it to be completed?” — youtube 4sX_He5c4sI
- “You need to have the trust that it actually can do the work successfully.” — youtube 4sX_He5c4sI
- “We've also watched context windows and memory improve, allowing agents in loops to track work that's been done before.” — youtube htM02KMNZnk
- “the local retrieval, the inprocess tools, the memory and the parts that do not shred under streaming and async record at the boundary instead because you need to capture what enters each node and what leaves it.” — youtube htM02KMNZnk
- “Um memory and persistent context is one that I'm watching very carefully right now.” — youtube I2cbIws9j10
- “And then more advanced version is really trying to start thinking of it as a teammate that is actually sort of holds context, has memory and can be proactive and that's just really changed how we operate internally.” — youtube I2cbIws9j10
Transcript-backed resources
Quote signals
Transcript-backed resources
Quote signals
Transcript-backed resources
Quote signals
Transcript-backed resources
- youtube jVjt 2g8NMY — A Genius With Amnesia - Victor Savkin, Nx
- youtube CLttOU7n6sI — Respect The Process - Andrew Dumit, Watershed Technology Inc.
- youtube HsxQICTLF84 — Building an ACP-Compatible Agent Live — Bennet Fenner, Zed
- youtube 3hXJI2q0Jz8 — Recursive Coding Agents - Raymond Weitekamp, OpenProse
- youtube Rx8f05JI_WA — SWE-Marathon: Evaluating Coding Agents at Billion-Token Scale - Rishi Desai, Abundant AI
- youtube iRcX54EO5g8 — Your agent is blindfolded — Johan Lajili, Poolside AI
- youtube HEFSExa0xl0 — Teaching Coding Agents to do Spreadsheets - Nuno Campos, Witan Labs
- youtube zKk7sDMGDEQ — Benchmarking semantic code retrieval on Claude Code — Kuba Rogut, Turbopuffer
- youtube 1IdzkRVmWAA — How we taught agents to use good retrieval - Hanna Lichtenberg, Mixedbread AI
- youtube UcYoMg 8 L8 — 500 people vibe-coded for 30 days. I was one of them. - Sanja Grbic, Automattic
- youtube EcqMYoIV57A — Why More Context Makes Your Agent Dumber and What to Do About It — Nupur Sharma, Qodo
- youtube IQkVMvXQKLY — Your LLM Deception Monitor Is Broken. The Fix Is in the Training Data - Sachin Kumar, LexisNexis
- youtube aHhB3sjGjkI — Agents Building Agents - Alfonso Graziano, Nearform
- youtube CDqzWpwkSls — Build AI Systems for Discernment, Not Approval - Angel Ortmann Lee, Duolingo
- youtube c 2eEv2ou7Y — Why MCP and ChatGPT Apps Use Double Iframes — Frédéric Barthelet, Alpic
- youtube ij AU9dpJjc — Stop Writing Tone Instructions. Layer Them. - Isadora Martin-Dye, Isadora & Co
Quote signals
- “And then we have access to additional tools, memory, or we may need to talk to additional agents or LLMs like Amazon Nova ACT through something like MCP.” — youtube wFTVEDYVJT0
- “When you're building agents, not just using them to write code, you start getting into architecting agentic systems.” — youtube ZD9 4fW2HhM
- “So if you want to build this marketplace of app and have third-party UI rendered inside ChatGPT, why not use straight away source doc as the attribute for as the attribute for uh for injecting context into.” — youtube c 2eEv2ou7Y
- “And finally, how do you optimize for cost, not just for accuracy, but also for cost, latency, and reliability before you ship and or as you find gaps in production.” — youtube T0HhO4YtTfE
- “That context pointer literally just says if you need the template or if you need to update the context.md file, go to this file.” — youtube UNzCG3lw6O0
- “We need to think about the branches in our skill moving material out behind context pointers.” — youtube UNzCG3lw6O0
- “And this is this is pretty uh important because sometimes the problem is uh, uh so critical so we need to fix them as soon as possible and yeah, it works pretty well.” — youtube kZsf_Sfm7RU
- “Now when the context is provided it's always like these are my security concerns which I always have to look into.” — youtube EcqMYoIV57A
Transcript-backed resources
- youtube MpZzWMdmQCE — Your coding agent doesn't always follow your rules — Talha Sheikh, Checkout.com
- youtube xUnRQ9vLXxo — What do we build now? — @t3dotgg
Quote signals
This evidence graph consolidates scheduled talks, linked videos, transcripts, and slide-derived material connected to this topic.
Linked Sessions
- Scaling Code Quality: Building uReview, Uber’s Multi-Agent Code Review Engine
- Give your coding agents the power of turbogrep!
- Video Has No Memory. Here's How We Built One.
- Guide, Verify, Solve: The Engineering Discipline Agentic Development Demands
- How to Build Quality Gates into Agentic Coding Workflows
- The Last Human Code Review: Building Trust in AI-Generated Code
- The Death of the Code Review
- How to Get Your Org to Adopt Coding Agents (Without Shipping Garbage)
- The Next Trillion Users of the Internet Still Don't Have an Identity
- Building an Agentic Video Editor for Mass Consumer
Media Signals
youtube-rgjF5o2Qjsc— 5 slide-derived text signals- Slide-derived themes for
youtube-rgjF5o2Qjsc: code, state, quality, companies, pushing, move, faster, offline. - Evidence links for
youtube-rgjF5o2Qjsc: youtube rgjF5o2Qjsc, youtube rgjF5o2Qjsc slides, youtube rgjF5o2Qjsc reconstructed slides youtube-Xfl50508LZM— 22,591 transcript words; 6 slide-derived text signals- Transcript signals for
youtube-Xfl50508LZM: evals, eval, data, should, judge, output, whether, phoenix. - Slide-derived themes for
youtube-Xfl50508LZM: phoenix, prompt, settings, general, detect, regressions, change, compare. - Evidence links for
youtube-Xfl50508LZM: youtube Xfl50508LZM, youtube Xfl50508LZM transcript, youtube Xfl50508LZM slides, youtube Xfl50508LZM dense slides, youtube Xfl50508LZM reconstructed slides youtube-AheG9p_JXVw— 1,340 transcript words- Transcript signals for
youtube-AheG9p_JXVw: editing, media, editor, case, real, users, user, everything. - Evidence links for
youtube-AheG9p_JXVw: youtube AheG9p_JXVw, youtube AheG9p_JXVw transcript, youtube AheG9p_JXVw 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 | 65 | Related pages outside the main evidence categories. |
| resources | 26 | Video/resource pages; check source status before treating as primary event evidence. |
| slides | 19 | 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 | 1 | Derived inventory pages; use as entity context, not independent proof. |
| transcripts | 2 | Transcript markdown; check session matching and caption quality. |
Talks
- 2026 06 29 will bond scaling code quality building ureview uber s multi agent code review engine
- 2026 06 29 owen halpert give your coding agents the power of turbogrep
- 2026 07 01 james le video has no memory here s how we built one
- 2026 07 01 anirban chatterjee guide verify solve the engineering discipline agentic development demands
- 2026 06 29 nnenna ndukwe how to build quality gates into agentic coding workflows
- 2026 06 29 itamar friedman the last human code review building trust in ai generated code
Resources
- youtube jVjt 2g8NMY
- youtube CLttOU7n6sI
- youtube HsxQICTLF84
- youtube 3hXJI2q0Jz8
- youtube Rx8f05JI_WA
- youtube iRcX54EO5g8
Slides
- youtube iRcX54EO5g8 slides
- youtube HEFSExa0xl0 slides
- youtube MpZzWMdmQCE slides
- youtube 4kYl2_mqmnQ slides
- youtube IQkVMvXQKLY slides
- youtube 2e9ANoOEn28 slides
Transcripts
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 | 69 | Related pages outside the main evidence categories. |
| resources | 29 | Video/resource pages; check source status before treating as primary event evidence. |
| talks | 27 | Official schedule pages; use for titles, speakers, tracks, and stated talk framing. |
| tools | 2 | Derived inventory pages; use as entity context, not independent proof. |
Talks
Resources
Slides
Transcripts
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 | 70 | Related pages outside the main evidence categories. |
| resources | 33 | Video/resource pages; check source status before treating as primary event evidence. |
Talks
Resources
Slides
Transcripts
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
Transcripts
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
Transcripts
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
Transcripts
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 | 34 | Video/resource pages; check source status before treating as primary event evidence. |
| slides | 20 | OCR or reconstructed slide evidence; mark claims as OCR-derived unless image-reviewed. |
Talks
Resources
Slides
Transcripts
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 | 37 | Video/resource pages; check source status before treating as primary event evidence. |
Talks
Resources
Slides
Transcripts
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 | 39 | Video/resource pages; check source status before treating as primary event evidence. |
Talks
Resources
Slides
Transcripts
Tools
Active Use Cases
- Bug fixes with local tests and deploy verification.
- Repository-wide mechanical updates with reviewable diffs.
- CI failure diagnosis and targeted remediation.
- Agentic software factories that coordinate planning, coding, testing, and release steps.
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 n97BCfyFIvw slides — "The engineer of the future is the person who is able to choose what is worth doing." — Addy Osmani (32 extracted slide frames)
- youtube WkBPX oDMnA slides — (12 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
- 2026 06 30 addy osmani closing keynote — Closing Keynote