GenAI PM
person25 mentions· Updated Jul 9, 2026

Boris Cherny

Developer advocate and product figure associated with Claude Code. Here he is credited with rolling out a cleanup command for agentic coding workflows.

Key Highlights

  • Boris Cherny is a key public voice behind Claude Code product updates, reliability explanations, and developer workflow improvements.
  • He introduced Claude Code features like /usage and /checkup to help users manage token spend and clean up agentic coding environments.
  • His posts offer AI PMs practical lessons in observability, pricing communication, and iterative UX improvements for AI developer products.
  • He also framed five AI-native team archetypes—Prototyper, Builder, Sweeper, Grower, and Maintainer—reflecting role convergence across product and engineering.

Boris Cherny

Overview

Boris Cherny is a developer advocate and product-facing leader closely associated with Claude Code and the broader Anthropic ecosystem. In the newsletter corpus, he appears as a frequent public explainer and ship announcer for product changes spanning developer tooling, pricing, usability, reliability, and model-enabled workflows. His updates often sit at the intersection of product management, developer experience, and operational transparency.

For AI Product Managers, Cherny matters because his posts reveal how a fast-moving AI coding product is actually being tuned in production: reducing token waste, improving observability, clarifying pricing, iterating on installer and UX choices, and introducing commands like `/usage` and `/checkup` that help users understand and manage agentic workflows. He is also cited for framing emerging team archetypes around AI-native software work, suggesting a blended future across product, engineering, and design.

Key Developments

  • 2026-04-13: Said Claude’s default dialogue style was switched to Medium after users complained about high token usage, while clarifying that response lengths were not simply being cut.
  • 2026-04-14: Noted that although Claude can be configured to block `node_modules`, allowing access to dependency source code often produces more useful coding help.
  • 2026-04-16: Clarified that new pricing plans had already gone live six months earlier, driven by enterprise customer demand and publicly listed since November.
  • 2026-04-24: Published a post-mortem on recent Claude Code quality issues, outlining investigation steps, root causes, and lessons for improving LLM tooling.
  • 2026-05-10: Said Claude Code’s move to a native installer means npm-only usage stats undercount actual adoption; reported the product had reached its second-highest signup day ever and 15× growth since January 1.
  • 2026-05-10: Shared that Claude Code UX was being improved for snappier performance, with debug logs added so users could self-serve hang diagnostics.
  • 2026-05-11: Launched a new `/usage` command in Claude Code to show which actions consume tokens and what limits apply, helping users debug usage on their own.
  • 2026-05-14: Said Mythos Preview became the first model to fully solve UK AISI cyber ranges end-to-end, including the previously unsolved “Cooling Tower,” and noted deployment to defenders with more to come on Glasswing.
  • 2026-05-22: Rolled out an expanded `/usage` view in Claude Code’s CLI that breaks token usage down by Skills, Agents, MCPs, and Plugins, with desktop support planned.
  • 2026-06-29: Described five archetypes within the Claude Code team: Prototyper, Builder, Sweeper, Grower, and Maintainer, highlighting how product, engineering, and design roles are blending.
  • 2026-07-09: Rolled out `/checkup` in Claude Code to automate cleanup of unused skills, MCPs, and plugins, as well as dedupe and split CLAUDE configuration/workflow artifacts.

Relevance to AI PMs

1. A playbook for shipping AI developer tools: Cherny’s updates show how successful AI products improve adoption through small but high-leverage features: installers, usage transparency, cleanup tools, and faster diagnostics. 2. Practical token and cost management: His comments on dialogue style defaults and `/usage` illustrate how PMs can reduce surprise costs by exposing token consumption at the feature and workflow level. 3. Operational transparency as product strategy: The post-mortem, pricing clarifications, and debug logging point to a useful PM pattern: when AI systems are imperfect, trust grows when teams explain tradeoffs, instrument failures, and give users self-serve controls.

Related

  • Anthropic: Cherny is most directly associated with Anthropic’s product and developer ecosystem, especially Claude Code.
  • Claude / Claude Code: The core products most tied to his mentions, including workflow commands like `/usage` and `/checkup`.
  • Claude Code Review: Related as part of the broader Claude developer-tooling surface area.
  • Medium / Low / High / Effort: Connects to model interaction settings and user-facing control over verbosity, cost, and behavior.
  • Pricing Plans / Enterprise Customer Demand: His comments tied product packaging to enterprise needs and go-to-market clarity.
  • Mythos Preview / UK AISI / Glasswing: Shows involvement in discussing frontier model capability and cyber-defense applications.
  • Prototyper / Builder / Sweeper / Grower / Maintainer: Team archetypes he used to describe AI-native software organizations.
  • Bedrock / Vertex / Azure: Relevant adjacent platforms in the enterprise AI stack, though not directly central in the cited mentions.
  • RAG / Agentic Search / MCP / Plugins: Connected to the agentic workflow ecosystem that Claude Code increasingly supports and manages.
  • Opus-46 / Sonnet-46 / Opus / GPT-4 Turbo: Related model landscape for benchmarking, positioning, or workflow choice in AI product development.

Newsletter Mentions (25)

2026-07-09
Boris Cherny rolled out `/checkup` in Claude Code to automate cleaning unused skills/MCPs/plugins, deduping and splitting CLAUDE.

𝕏 clem 🤗 – Co-founder & CEO @HuggingFace launched the SkyPilot-HF Storage integration, enabling one-line provisioning of multi-cloud GPU clusters with seamless, cached mounting of Hugging Face datasets and repositories. #15 𝕏 Boris Cherny rolled out `/checkup` in Claude Code to automate cleaning unused skills/MCPs/plugins, deduping and splitting CLAUDE.

2026-06-29
#9 𝕏 Boris Cherny sees five key archetypes—Prototyper, Builder, Sweeper, Grower, and Maintainer—in the Claude Code team.

The newsletter summarizes Boris Cherny's view that roles are blending across product, engineering, and design.

2026-05-22
Boris Cherny rolled out a new `/usage` command in Claude Code’s CLI to break down token usage by Skills, Agents, MCPs, and Plugins.

#5 𝕏 Boris Cherny rolled out a new `/usage` command in Claude Code’s CLI to break down token usage by Skills, Agents, MCPs, and Plugins. Desktop support is coming next.

2026-05-14
#10 𝕏 Boris Cherny : Mythos Preview is the first model to fully solve UK AISI’s cyber ranges end-to-end—including the once-unsolved “Cooling Tower”—and is being deployed to defenders as fast as responsibly possible, with more on Glasswing coming soon.

#10 𝕏 Boris Cherny : Mythos Preview is the first model to fully solve UK AISI’s cyber ranges end-to-end—including the once-unsolved “Cooling Tower”—and is being deployed to defenders as fast as responsibly possible, with more on Glasswing coming soon. #11 in Peter Yang shows that Claude Code and Codex can effortlessly merge, edit, and crop scanned PDFs with simple prompts. He notes it far outperforms the clunky workflows in Preview or Adobe Acrobat.

2026-05-11
Boris Cherny launched a new `/usage` command in Claude Code that provides a deep dive into exactly which actions are consuming your tokens and their limits, so you can self-serve debug.

#8 𝕏 Boris Cherny launched a new `/usage` command in Claude Code that provides a deep dive into exactly which actions are consuming your tokens and their limits, so you can self-serve debug. #10 𝕏 Boris Cherny doubled the 5-hour run limits on every Claude Code plan this week to streamline planning and execution.

2026-05-10
#5 𝕏 Boris Cherny says Claude Code’s switch to a native installer means npm-only stats undercount its real usage. On Thursday it hit its second-highest signup day ever with 15× growth since Jan 1—now you can ask Claude to debug your SQL. #6 𝕏 Boris Cherny is enhancing Claude Code’s UX for snappier performance and adding debug logs so users can self-serve hang diagnostics.

GenAI PM Daily May 10, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 11 insights for PM Builders, ranked by relevance from X, Blogs, and LinkedIn. PromptLayer’s multi-step agent evaluation framework #1 𝕏 Jason Zhou launched `/goal` support in CodeX and Hermes agents for one-step autonomous coding, advising use of interview mode, clear stop conditions, and a goal-buddy to manage state and goal files. #2 📝 PromptLayer Blog What Is Agent Evaluation? A Practical Guide for AI Teams - Agent evaluation tests whether an AI agent reliably completes tasks across real inputs, edge cases, and new versions by scoring not just final outputs but multi-step behavior via black-box, trajectory, and component-level evaluations, using metrics like task completion rate, tool selection accuracy, unsupported-claim rate, latency/cost per step, and regression pass rate. PromptLayer offers tracing with span-level context, reusable datasets, batch evaluations, backtesting, regression testing, automated evaluation triggers on new prompt versions, and flexible pipelines including code execution, human input, conversation simulation, regex checks, and LLM assertions. #3 in Udi Menkes built his new product’s entire data flow in a single interactive HTML file—complete with diagrams, in-page navigation, and color-coded complexity—letting his team understand it in minutes instead of hours. #4 𝕏 Garry Tan suggests diagramming your AI agent codebases and architecture in plain ASCII, then relentlessly questioning each component to clarify design and accelerate product development. #5 𝕏 Boris Cherny says Claude Code’s switch to a native installer means npm-only stats undercount its real usage. On Thursday it hit its second-highest signup day ever with 15× growth since Jan 1—now you can ask Claude to debug your SQL. #6 𝕏 Boris Cherny is enhancing Claude Code’s UX for snappier performance and adding debug logs so users can self-serve hang diagnostics. #7 𝕏 Harrison Chase calls LangSmith an org-wide platform for building AI agents that speeds up cross-functional collaboration and tightens feedback loops. #8 𝕏 Santiago showcases a step-by-step guide for constructing Python-powered multi-agent systems from scratch, leveraging MCP and A2A patterns to incrementally add complexity and enable collaborative AI agents. #9 𝕏 Garry Tan spends $2K/mo on Openclaw AI tokens to turbocharge product development and startup insights. He’s “tokenmaxxing” now with a goal to make these capabilities affordable for everyone in 18 months. #10 𝕏 Harrison Chase argues that treating AI agents as systems to measure and iteratively improve isn’t just a technical challenge—it demands intentional human collaboration and team processes. #11 in Peter Yang warns that unedited AI-generated markdown can compound small errors over time—what starts as 5% “slop” quickly balloons into an overwhelming pile of confusing, unverified content. Found this valuable? Share it with another PM - they can subscribe at genaipm.com Unsubscribe • Switch to Weekly

2026-04-24
Boris Cherny published a post-mortem on recent Claude Code quality issues, detailing the investigation steps, root causes, and key takeaways for improving LLM tooling.

#18 𝕏 Boris Cherny published a post-mortem on recent Claude Code quality issues, detailing the investigation steps, root causes, and key takeaways for improving LLM tooling. #19 𝕏 Jeff Dean provided advice on the Decoupled DiLoCo training system, enabling graceful failure handling in large-scale jobs by letting (N-1)/N units proceed when one fails.

2026-04-16
Boris Cherny clarifies that the new pricing plans went live six months ago (in November) in response to enterprise customer demand and have been publicly available on their site since then.

#20 𝕏 Boris Cherny clarifies that the new pricing plans went live six months ago (in November) in response to enterprise customer demand and have been publicly available on their site since then.

2026-04-14
Boris Cherny shows that while you can configure Claude to block node_modules, in practice allowing it to read your dependencies’ source code often yields more helpful insights.

#13 𝕏 Boris Cherny shows that while you can configure Claude to block node_modules, in practice allowing it to read your dependencies’ source code often yields more helpful insights.

2026-04-13
#11 𝕏 Boris Cherny says Claude’s default dialogue style was switched to Medium after users complained about high token usage.

GenAI PM Daily April 13, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 14 insights for PM Builders, ranked by relevance from X, Blogs, and YouTube. #11 𝕏 Boris Cherny says Claude’s default dialogue style was switched to Medium after users complained about high token usage. He clarifies that response lengths haven’t been cut and future tweaks will follow user feedback.

Related

Claude Codetool

Anthropic’s coding product/blog referenced in a customer story about Cognition’s use of Claude Fable 5. For AI PMs, it highlights enterprise coding adoption narratives.

Anthropiccompany

Anthropic is the company behind Claude and Claude Code. The newsletter covers its new Reflection dashboard and an enterprise deployment of Claude in industrial workflows.

Claudetool

Anthropic’s assistant and coding tool, discussed here in both the Reflection dashboard and a physical-AI deployment at UST. The newsletter highlights its usage analytics, workflow suggestions, and enterprise integration.

Opus 4.6tool

A model used as the underlying engine for an assistant tested against prompt injection. The newsletter notes its explicit anti-prompt-injection rules as a sign that defense measures are improving.

RAGconcept

A pattern for grounding model outputs in retrieved context rather than relying solely on model weights. The newsletter frames it as often outperforming fine-tuning for practical product work.

Opustool

Opus is used as the coding and QA model in Josh Pigford’s autonomous product-building stack. It appears as part of several prompt-driven skills for generating code and validating work.

Sonnet-4.6tool

A Claude model used in the newsletter's example to run Python code and analyze a floor plan. It is discussed as part of an agentic workflow inside Claude Cowork.

Claude Code Reviewtool

An AI-powered code review feature from Claude Code designed to provide deep PR feedback, catch bugs, and improve development workflows. It is presented as a research-preview beta for Team and Enterprise.

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