WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2026 North America • Sep 25, 2026 • Session details

Building AI Products vs. Building With AI

Aparna Dhinakaran , Rukmini Reddy , Tamar Bercovici

With code generation costs approaching zero, manual pull request reviews are becoming obsolete. Learn how engineers are evolving into operators of high-velocity AI software factories.

Pause
Mute Enter Fullscreen
#1 about 3 min

Transitioning from AI adoption to team orchestration

To move beyond basic model access, engineering teams must orchestrate AI tools to achieve massive productivity gains.

#2 about 3 min

Rebuilding products and creating the AI software factory

Because the cost of code generation has plummeted, teams can rapidly rebuild architectures and use agents to automate telemetry analysis.

#3 about 3 min

Implementing guardrails and tracking AI token spend

To manage the risks of decentralized AI usage, teams need a shared platform that enforces guardrails and tracks token spend.

#4 about 3 min

Evaluating the quality of non-deterministic AI product features

Since AI assistants generate highly personalized outcomes, product engineers must adopt new evaluation frameworks for non-deterministic features.

#5 about 3 min

Developing adaptive harnesses for dynamic model routing

To balance price and performance, engineering organizations must develop adaptive harnesses that dynamically route workloads to the optimal model.

#6 about 5 min

Deploying agents for automated observability and incident response

Because humans cannot keep pace with AI-generated code, organizations should deploy agents to review logs and uncover unknown system vulnerabilities.

#7 about 5 min

Scaling production triage to manage AI-generated code volume

As development volume surges, engineers must implement systemic reinforcement loops to troubleshoot failures and improve agent outputs.

#8 about 7 min

Navigating build versus buy decisions for AI infrastructure

To ensure customer reliability, organizations should only build custom AI infrastructure when it directly supports their core business path.

Matching moments

2:14 min

Balancing AI investment with product shipping commitments

Ajita Kanchivakam Ananth Ajita Kanchivakam Ananth · World Congress 2026 North America

2:20 min

Transitioning to AI-native engineering teams and workflows

Tomislav Tipurić Tomislav Tipurić +1 · World Congress 2026 North America

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann Chris Heilmann +2 · LIVE

3:03 min

Shifting from implementation to deciding what to build

Lena Hall Lena Hall · World Congress 2026 North America

4:08 min

Transitioning software engineering teams to AI-native development workflows

Florian Deter Florian Deter +4 · World Congress 2026 Europe

1:59 min

Scaling engineering teams and identifying evolving delivery bottlenecks

Jirka Bachel Jirka Bachel · World Congress 2026 North America

More from World Congress 2026 North America

2026 in LLMs (so far) thumbnail
31:31
10 days ago

2026 in LLMs (so far)

Simon Willison

Running Operations Without Humans in the Loop thumbnail
32:31
10 days ago

Running Operations Without Humans in the Loop

Edward Aryee, Ryan Ries, Yaron Schneider, Chris Hallenbeck, Floriane Gramlich

Beyond the Code: Human-AI Synergies in Product Development thumbnail
17:43
10 days ago

Beyond the Code: Human-AI Synergies in Product Development

Ajita Kanchivakam Ananth

Honey, look! I vibe-coded an OS! thumbnail
30:40
10 days ago

Honey, look! I vibe-coded an OS!

Ian Smith

The Productivity Illusion: What AI Really Changed for Developers thumbnail
24:28
10 days ago

The Productivity Illusion: What AI Really Changed for Developers

Fatih Kadir Akın

Your Evals Passed. Your Agent Just Emptied a Database. thumbnail
21:37
10 days ago

Your Evals Passed. Your Agent Just Emptied a Database.

Tejas Pravinbhai Patel

Related videos

What Production Knows: Closing the Loop Between AI Agents and the Systems They Build thumbnail
26:33
World Congress 2026 Europe • 3 months ago

What Production Knows: Closing the Loop Between AI Agents and the Systems They Build

May Walter

AI Wrote the Code. Now What? thumbnail
31:27
World Congress 2026 Europe • 3 months ago

AI Wrote the Code. Now What?

Jyoti Bansal, Daniel Gebler

Inside the AI-Native Engineering Org thumbnail
29:46
World Congress 2026 North America • 11 days ago

Inside the AI-Native Engineering Org

Hari Lingamagunta, Siwei Shen, Amy Yuan, Gene Kim

The Last Mile of AI: From Prototype to Production thumbnail
28:23
World Congress 2026 Europe • 3 months ago

The Last Mile of AI: From Prototype to Production

Clemens Wasner, Holger Hammel, Martin Remmelgas, Max Jacobson, Marius Cosareanu

Running AI-Written Software in Production thumbnail
35:26
World Congress 2026 North America • 12 days ago

Running AI-Written Software in Production

Anurag Goel, Milin Desai, Richard Rizk, Sead Ahmetović, Jared Zoneraich

The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next thumbnail
28:33
World Congress 2026 Europe • 3 months ago

The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next

Taroon Mandhana, Sebastian Kister

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.