Coding Agents

Synopsis

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.

Origin And 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.

Why It Matters

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.

How To Use It

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.

Where It Is Useful

They are useful in feature slices, bug fixes, test generation, refactors, migrations, docs updates, dependency audits, and operational scripts.

When To Use It

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.

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.

Related Scheduled Sessions

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 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 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 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)
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)

Related People

Related Companies

Transcript And Resource Support

Transcript-backed resources

youtube jVjt 2g8NMY — A Genius With Amnesia - Victor Savkin, Nx
youtube 3hXJI2q0Jz8 — Recursive Coding Agents - Raymond Weitekamp, OpenProse
youtube zKk7sDMGDEQ — Benchmarking semantic code retrieval on Claude Code — Kuba Rogut, Turbopuffer
youtube EcqMYoIV57A — Why More Context Makes Your Agent Dumber and What to Do About It — Nupur Sharma, Qodo
youtube aHhB3sjGjkI — Agents Building Agents - Alfonso Graziano, Nearform
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
youtube Akm1sqvWG4A — Bypassing the Multimodal Tax: Hybrid RAG, SQL RRF & UI Telemetry - Abed Matini, Ogilvy
youtube wcUJWP6WpGM — SWE-rebench: Lessons from Evaluating Coding Agents — Ibragim Badertdinov, Nebius
youtube u rJwPPU3QA — How to talk to statues — Joe Reeve, ElevenLabs
youtube r305 aQTaU0 — Text Diffusion — Brendan O’Donoghue, Google DeepMind
youtube whue9_YquGA — Building an Autonomous Engineering Org - Angie Jones, Agentic AI Foundation
youtube IddXPepIAS4 — Using Spec-Driven Development for Production Workflows - Erik Hanchett, AWS
youtube ObTPqBGsEbA — The Production AI Playbook: Deploying Agents at Enterprise Scale — Sandipan Bhaumik, Databricks
youtube T0HhO4YtTfE — AI System Design: From Idea to Production - Apoorva Joshi, MongoDB
youtube 4sX_He5c4sI — WF2026: Autoresearch & Keynotes ft. Anthropic, Google DeepMind, Amazon AGI, Sonar, Arena, Recursive
youtube wFTVEDYVJT0 — Building Agents with Amazon Nova Act and MCP - Du'An Lightfoot, Amazon (Full Workshop)
youtube bk0TmxoZlUY — Evals 101 — Doug Guthrie, Braintrust

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
“Model providers you will put evaluation benchmarks on three uh benchmark uh boards, but those are not really useful when you put them in your context, in your enterprise.” — youtube ObTPqBGsEbA