# leaders-of-code

Published articles for leaders-of-code.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## The economics of agent scale: tokens, ROI, and building platforms for AI-first teams (Part 2)

DevFeed: [The economics of agent scale: tokens, ROI, and building platforms for AI-first teams (Part 2)](<https://devfeed.tech/articles/the-economics-of-agent-scale-tokens-roi-and-building-platforms-for-ai-first-teams-part-2-2218.md>)

Original publisher: [Read original article](<https://stackoverflow.blog/2026/09/03/the-economics-of-agent-scale/>)

Author: Eira May

Published: 2026-09-03T07:40:00Z

Content type: article

Language: en

Sources: [Stack Overflow Blog](<https://devfeed.tech/sources/stack-overflow-blog.md>)

Topics: [AI Bots](<https://devfeed.tech/topics/ai-bots.md>), [ai observability](<https://devfeed.tech/topics/ai-observability.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [business](<https://devfeed.tech/tags/business.md>), [cost](<https://devfeed.tech/tags/cost.md>), [developers](<https://devfeed.tech/tags/developers.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [engineering-leadership](<https://devfeed.tech/tags/engineering-leadership.md>), [google](<https://devfeed.tech/tags/google.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [leaders-of-code](<https://devfeed.tech/tags/leaders-of-code.md>), [model](<https://devfeed.tech/tags/model.md>), [observability](<https://devfeed.tech/tags/observability.md>), [php](<https://devfeed.tech/tags/php.md>), [platform](<https://devfeed.tech/tags/platform.md>), [platform-engineering](<https://devfeed.tech/tags/platform-engineering.md>), [podcast](<https://devfeed.tech/tags/podcast.md>), [scale](<https://devfeed.tech/tags/scale.md>), [science](<https://devfeed.tech/tags/science.md>), [tooling](<https://devfeed.tech/tags/tooling.md>), [work](<https://devfeed.tech/tags/work.md>)

### AI overview

A podcast discussion on operating AI agents at scale, focusing on token efficiency, cost governance, context management, and platform tooling and observability.

### Source excerpt

Andi Gutmans, head of Agentic Data Cloud at Google, returns for the second half of his Leaders of Code conversation to talk through the cost and infrastructure side of agentic development. ICYMI, part one covered judgment, code review, and data activation.

## From PHP to team lead of agents: rethinking judgment, review, and data with Google's Andi Gutmans (Part 1)

DevFeed: [From PHP to team lead of agents: rethinking judgment, review, and data with Google's Andi Gutmans (Part 1)](<https://devfeed.tech/articles/from-php-to-team-lead-of-agents-rethinking-judgment-review-and-data-with-google-s-andi-gutmans-part-1-2210.md>)

Original publisher: [Read original article](<https://stackoverflow.blog/2026/08/20/rethinking-judgment-review-andi-gutmans/>)

Author: Eira May

Published: 2026-08-20T07:40:00Z

Content type: article

Language: en

Sources: [Stack Overflow Blog](<https://devfeed.tech/sources/stack-overflow-blog.md>)

Topics: [PHP](<https://devfeed.tech/topics/php.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Google](<https://devfeed.tech/topics/google.md>), [leaders-of-code](<https://devfeed.tech/topics/leaders-of-code.md>), [Platform Engineering](<https://devfeed.tech/topics/platform-engineering.md>), [data](<https://devfeed.tech/topics/data.md>), [Code review](<https://devfeed.tech/topics/code-review.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [business](<https://devfeed.tech/tags/business.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [engineering-leadership](<https://devfeed.tech/tags/engineering-leadership.md>), [google](<https://devfeed.tech/tags/google.md>), [leaders-of-code](<https://devfeed.tech/tags/leaders-of-code.md>), [php](<https://devfeed.tech/tags/php.md>), [platform](<https://devfeed.tech/tags/platform.md>), [podcast](<https://devfeed.tech/tags/podcast.md>), [review](<https://devfeed.tech/tags/review.md>), [software-development](<https://devfeed.tech/tags/software-development.md>)

### AI overview

Andi Gutmans discusses the evolution from PHP's democratization of web development to agentic software development, arguing that individual contributors are becoming team leads of agents. The conversation examines code review, interviewing, human and agent judgment, organizational data readiness, and Google's borderless lakehouse and agent-driven ontology-building concepts.

### Source excerpt

Andi Gutmans, head of Agentic Data Cloud at Google and co-creator of PHP, joins Leaders of Code to talk about why agentic development feels less like a break from the past and more like the next chapter of the same story. This is part one of a two-part conversation.

## Explorers, exploiters, and the myth of the 100x engineer

DevFeed: [Explorers, exploiters, and the myth of the 100x engineer](<https://devfeed.tech/articles/explorers-exploiters-and-the-myth-of-the-100x-engineer-2202.md>)

Original publisher: [Read original article](<https://stackoverflow.blog/2026/08/05/the-myth-of-the-100x-engineer/>)

Author: Eira May

Published: 2026-08-05T07:40:00Z

Content type: article

Language: en

Sources: [Stack Overflow Blog](<https://devfeed.tech/sources/stack-overflow-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Strategy](<https://devfeed.tech/topics/ai-strategy.md>), [Reinforcement learning](<https://devfeed.tech/topics/reinforcement-learning.md>), [leaders-of-code](<https://devfeed.tech/topics/leaders-of-code.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-adoption](<https://devfeed.tech/tags/ai-adoption.md>), [ai-tools](<https://devfeed.tech/tags/ai-tools.md>), [business](<https://devfeed.tech/tags/business.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [engineering-leadership](<https://devfeed.tech/tags/engineering-leadership.md>), [experiment](<https://devfeed.tech/tags/experiment.md>), [explore](<https://devfeed.tech/tags/explore.md>), [leaders-of-code](<https://devfeed.tech/tags/leaders-of-code.md>), [learning](<https://devfeed.tech/tags/learning.md>), [podcast](<https://devfeed.tech/tags/podcast.md>), [productivity](<https://devfeed.tech/tags/productivity.md>)

### AI overview

The article challenges the myth that a small group of inherently exceptional engineers drives disproportionate AI gains. It argues that engineering leaders should treat exploration and exploitation as a continuum and help more engineers develop through curiosity, adaptability, experimentation, and learning, rather than focusing only on identifying and promoting existing "100x" performers.

### Source excerpt

The "find the special ones and promote their traits" approach isn't the best or only way to drive AI adoption and productivity on an engineering team.

## Partnerships can keep open source sustainable

DevFeed: [Partnerships can keep open source sustainable](<https://devfeed.tech/articles/partnerships-can-keep-open-source-sustainable-2195.md>)

Original publisher: [Read original article](<https://stackoverflow.blog/2026/07/24/partnerships-can-keep-open-source-sustainable/>)

Author: Phoebe Sajor

Published: 2026-07-24T07:40:00Z

Content type: article

Language: en

Sources: [Stack Overflow Blog](<https://devfeed.tech/sources/stack-overflow-blog.md>)

Topics: [Open Source](<https://devfeed.tech/topics/open-source.md>), [Cloudflare](<https://devfeed.tech/topics/cloudflare.md>), [JavaScript](<https://devfeed.tech/topics/javascript.md>), [Developer experience](<https://devfeed.tech/topics/developer-experience.md>), [distributed-systems](<https://devfeed.tech/topics/distributed-systems.md>)

Tags: [acquisition](<https://devfeed.tech/tags/acquisition.md>), [cloudflare](<https://devfeed.tech/tags/cloudflare.md>), [dev-tools](<https://devfeed.tech/tags/dev-tools.md>), [developer-experience](<https://devfeed.tech/tags/developer-experience.md>), [developer-tools](<https://devfeed.tech/tags/developer-tools.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [javascript](<https://devfeed.tech/tags/javascript.md>), [leaders-of-code](<https://devfeed.tech/tags/leaders-of-code.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [partnerships](<https://devfeed.tech/tags/partnerships.md>), [podcast](<https://devfeed.tech/tags/podcast.md>), [se-stackoverflow](<https://devfeed.tech/tags/se-stackoverflow.md>), [se-tech](<https://devfeed.tech/tags/se-tech.md>), [typescript](<https://devfeed.tech/tags/typescript.md>)

### AI overview

Ryan welcomes VoidZero's Evan You and Cloudflare's Dane Knecht to discuss Cloudflare's acquisition of VoidZero, the implications for JavaScript development, and how partnerships can help open-source projects remain maintained and sustainably monetized.

### Source excerpt

Ryan welcomes VoidZero's Evan You and Cloudflare's Dane Knecht back to the show to discuss Cloudflare's recent acquisition of VoidZero and what it means for JavaScript development, how partnerships like theirs can help open-source projects stay maintained and sustainably monetized, and how Cloudflare's distributed systems are helping to improve developer experience in Vite and beyond.

## How do you turn AI coding chaos into a repeatable playbook?

DevFeed: [How do you turn AI coding chaos into a repeatable playbook?](<https://devfeed.tech/articles/how-do-you-turn-ai-coding-chaos-into-a-repeatable-playbook-2185.md>)

Original publisher: [Read original article](<https://stackoverflow.blog/2026/07/02/ai-coding-chaos-into-a-repeatable-playbook/>)

Author: Eira May

Published: 2026-07-02T07:40:00Z

Content type: article

Language: en

Sources: [Stack Overflow Blog](<https://devfeed.tech/sources/stack-overflow-blog.md>)

Topics: [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [ci](<https://devfeed.tech/topics/ci.md>), [incident](<https://devfeed.tech/topics/incident.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [best-practices](<https://devfeed.tech/tags/best-practices.md>), [business](<https://devfeed.tech/tags/business.md>), [design-patterns](<https://devfeed.tech/tags/design-patterns.md>), [engineering-leadership](<https://devfeed.tech/tags/engineering-leadership.md>), [incident-response](<https://devfeed.tech/tags/incident-response.md>), [leaders-of-code](<https://devfeed.tech/tags/leaders-of-code.md>), [podcast](<https://devfeed.tech/tags/podcast.md>), [testing](<https://devfeed.tech/tags/testing.md>)

### AI overview

A podcast discussion of Snowflake's five-stage approach to making AI-assisted engineering repeatable across an organization. It covers coding-agent design patterns, adoption practices, validation automation, and a proposed maturity model for on-call and incident response.

### Source excerpt

Vivek Raghunathan, SVP of engineering at Snowflake, joins Leaders of Code at Snowflake Summit to break down the five-stage framework his org used to go from "let chaos reign" to a repeatable, org-wide system for AI-assisted engineering.