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Book Cube: 2026, page 2

Book Cube publications from 2026, page 2: bilingual notes, sources, and original Telegram posts.

  1. · #SRE

    Materials on live TV with Anatoly Krasnovskiy about modeling reliability according to the dependency graph (Category SRE)

    Materials on live TV with Anatoly Krasnovskiy about modeling reliability according to the dependency graph (Rubric SRE ) Ready materials from the live podcast Research Insights Made Simple with Anatoly Krasnovskiy (@mb3rlab):

  2. · #AI4SDLC

    IT Picnic 8 August and my post-AI development report and our research (Category AI4SDLC)

    IT Picnic 8 August and my post-AI development report and our research (Rubric AI4SDLC ) 8 August will be held in Moscow IT Picnic - summer festival, which T-Bank makes for IT specialists and their loved ones: lecture halls, interactive areas and music on the grass at the Kolomenskoye Museum-Reserve. I’m giving a talk on “Development after AI”: I’ll tell you how AI is now in development – in the industry in general and in T-Bank in particular – and present our AI4SDLC Research study. 2026.

  3. · #AI

    Jeff Dean: The rule 1% for AI products (AI column)

    Jeff Dean: The rule 1% for AI products (Rubric AI ) Video Watching Jeff Dean is always interesting and informative. He can start with a story about MapReduce or calculation on a napkin, and after a few minutes to bring the conversation to the architecture of the next generation of systems. I've told you about him before. TED Talk, major lecture at Rice University, Interview with Noam Shazier and A retrospective of AI development at Stanford AI Club. Now I've looked.

  4. · #DevEx

    Code of Leadership S2E8: Digital Teamlead or Can Developer Performance Be Measured by Code? (Filed under DevEx)

    Code of Leadership S2E8: Digital Teamlead or Can Developer Performance Be Measured by Code? (Rubric DevEx ) Are your developers working on 100%? And is it possible to answer this question by code at all - without tables, additional reports and subjective assessment of the head? And if there was a downturn in the work - to distinguish the underboot from a complex legashi, tech debt, unfamiliar technology or a month of heavy debugging?

  5. · #AI4SDLC

    Sonar and the Star Hour of Verifiers (Category AI4SDLC)

    Sonar and the Star Hour of Verifiers (Rubric AI4SDLC ) Sonar as a product has been around for almost twenty years and has been popular in its niche all along: static analysis, quality gates, bug search, vulnerabilities and code smells. But now the company has begun a real dust. Agents generate code as if it were not in themselves - for everyone at once. Manual control of quality is becoming increasingly difficult. And here comes Sonar with its deterministic rules. And not just them. And so I looked.

  6. · #Architecture

    Materials live with Sergey Baranov about AI in architecture (Category Architecture)

    Materials live with Sergey Baranov about AI in architecture (Rubric Architecture ) Ready materials from the live podcast Research Insights Made Simple with Sergey Baranova n (@blog\ sb)Scrumtrek Partner and ArchDays Conference Organizer (@blog\ sb):

  7. · #BookCube

    Come to the podcast, we just started it.

    Come on. podcastWe're just getting started.

  8. · #AI

    How AI-native development is changing the role of products

    How AI-native development is changing the role of products I got myself an interesting thought. The product manager’s routine ends faster than many people notice. In AI-native development, a product ceases to be an interface between “business” and engineers. He needs to go into the data himself, assemble a prototype with the agent, formulate evals and acceptance criteria, understand the cost and risks.

  9. · #BookCube

    At the suggestion of the channel Roots wrote a post about how AI is changing the profession of the product

    At the suggestion of the channel Roots I wrote a post about how AI is changing the product profession. Thank you guys for offering to think about it.

  10. · #AI

    Frank Coyle on Ontology: Logic Outside the Probabilistic Agent (AI column)

    Frank Coyle on Ontology: Logic Outside the Probabilistic Agent (Rubric AI ) Watch the twenty-minute report by Frank Coyle.Why Agentic Systems Need OntologiesAI Engineer World's Fair 2026. I’ve had a complicated relationship with the word “ontology” for a long time: in conversations about architecture, it was almost a stop word. Too often, this terminology has been used by people who are very far from practice: instead of a working contract, it has been an attempt to classify the whole world first. That seems to be changing now.

  11. · #Books

    AMA Session 2 AI-assisted Engineering with Alexey Litvinov n

    AMA Session 2 AI-assisted Engineering with Alexey Litvinov n Wednesday, 17:00 in Moscow together with Alexey Litvinov live We will continue to talk about AI-Assisted Engineering and how to build an AI-Native organization. Za. first series of AMA sessions We didn't manage all the issues, so we will continue to discuss this with Lyosha, who has his own tg channel - @tip\ podcast, subscribe to him.

  12. · #BookCube

    Live's on, come on.

    Live's on, come on.

  13. · #Consulting

    Materials live with Alexander Vorontsov about the future of consulting (Category Consulting)

    Materials live with Alexander Vorontsov about the future of consulting (Rubric Consulting ) Ready materials from the live podcast Code of Leadership with Alexander Vorontsov, partner of the companyrevelio" (@revelio\ tech.):

  14. · #SRE

    Research Insights Made Simple 25: We model reliability by dependency graph (Category SRE)

    Research Insights Made Simple 25: We model reliability by dependency graph (Rubric SRE ) Is it possible to know where a distributed system will break before the expensive crash experiment? In this release tonight 17:00 Together with Anatoly Krasnovskii we will analyze his work.Model Discovery and Graph Simulation: A Lightweight Gateway to Chaos Engineering", marked Distinguished Paper Award on ICSE-NIER 2026 (By the way, I handler before).

  15. · #Architecture

    Why the AI-copilot architect still failed (Category Architecture)

    Why the AI-copilot architect still failed (Rubric Architecture ) Starting. live About AI in architecture with Sergey Baranov 5 minutes. Sergey is a practicing architect, Scrumtrek partner and founder of the ArchDays conference, where I have been on the program committee from the first conference to the present. In general, we have known Sergey for a long time and our discussions are usually entertaining:) Come and ask questions during the live broadcast - we will gladly answer them.

  16. · #Books

    Summer Sale at Peter Publishing House ( Books)

    Summer Sale at Peter Publishing House ( Books) Traditionally, I'm talking about sales at this publishing house. This time you can order not only on the website of the publisher, but also 🛍 WB and 🛍 ozone. It turns out that these two sites were added in honor of 35- anniversaries of publishing.

  17. · #Agents

    Research Insights Made Simple 26How to Build Working Evals for AI Agents (Agents column)

    Research Insights Made Simple 26How to Build Working Evals for AI Agents (Rubric Agents ) How do you know if an AI agent is ready for production? A beautiful response and even a high "pass rate" show only the final of a single launch. The agent could peek at the solution, choose a dangerous path, violate rights or crumble when rerun.

  18. · #AI4SDLC

    State of AI4SDLC on HighLoad++: where development bottlenecks are moving (Category AI4SDLC)

    State of AI4SDLC on HighLoad++: where development bottlenecks are moving (Rubric AI4SDLC ) Appeared. record My performance at Saint HighLoad + + 2026, slides and abstract. The report was about what happens when the local acceleration of coding gets into the engineering system of a large company. 10 000+ engineers. The answer is simple: AI speeds up code writing before the organization has time to rebuild the entire supply stream. Therefore, the bottleneck does not disappear, but moves to task setting, review, testing, integration and release.

  19. · #AI4SDLC

    Materials on AMA session with Alexei Litvinov about AI-Assisted Engineering (Category AI4SDLC)

    Materials on AMA session with Alexei Litvinov about AI-Assisted Engineering (Rubric AI4SDLC ) Ready materials from the live podcast Code of Leadership with Alexei Litvinov:

  20. · #Consulting

    Code of Leadership S2E7: Consulting in the Age of AI: What is left without beautiful presentations? (Category Consulting)

    Code of Leadership S2E7: Consulting in the Age of AI: What is left without beautiful presentations? (Rubric Consulting ) If AI can already gather analytics, make recommendations, and deliver a compelling presentation in a matter of minutes, what will companies pay consultants for? We're starting in. live To discuss this with Alexander Vorontsov, a partner of IT company Revelio Tech: https://t.me/revelio\ tech. Connect!

  21. · #AI4SDLC

    AI Dev Podcast 8Autonomy of the agent begins with limitations. (Category AI4SDLC)

    AI Dev Podcast 8Autonomy of the agent begins with limitations. (Rubric AI4SDLC ) Out. The new AI Dev Podcast, in which we, together with Vladimir Yatulchik and Andrei Dmitriev, figured out how to move from vibe coding to managed agent development. TLDR: A standalone agent becomes useful not when it is allowed to write as much code as possible, but when it is embedded in a reproducible engineering process. The more work we delegate to an agent, the clearer the intent, limitations, acceptance criteria, and limits of his rights must be.

  22. · #Books

    If Anyone Builds It, Everyone Dies (If someone creates it, everyone will die.) (Books column)

    If Anyone Builds It, Everyone Dies (If someone creates it, everyone will die.) (Rubric Books ) I already am. told I didn't finish reading the book "Agentic Design Patterns" about the creation of AI-agents, as I started "If someone creates it, everyone will die" by Eliezer Yudkovsky and Nate Soares. Now I've finished reading both books, and the contrast is almost comedic: one book explains in detail how to build agents, and the other why, if we build them to superintelligence, we'd better not start at all:)

  23. · #AI4SDLC

    AMA Session on AI-assisted Engineering with Alexey Litvinova n (Category AI4SDLC)

    AMA Session on AI-assisted Engineering with Alexey Litvinova n (Rubric AI4SDLC ) Through 5 minute we'll start live Together with Alexei Litvinov, we will talk about AI-Assisted Engineering. We got a run. 15 From how to change an engineer in the age of AI, to how to sell an AI-Native organization to top management. In general, come listen to the answers to the questions and you will have the opportunity to ask clarifying questions along the way.

  24. · #AI4SDLC

    OpenCode: How Open Boundry Became a Model Market (Category AI4SDLC)

    OpenCode: How Open Boundry Became a Model Market (Rubric AI4SDLC ) I saw it. fresh-out YC The Lightcone with Jay V, CEO of OpenCode I'm already in June. handler Talking to Dax Raad about OpenCode: I was more hooked on skepticism about AI hype and the thesis that thinking remains a development bottleneck. The new edition continues the story from a different angle. OpenCode becomes not just another coding agent, but an open layer between developers, models and providers. The scale of Jay describes is almost platform.

  25. · #AI4SDLC

    AI development as a stack: what to rent, adapt and build yourself (Category AI4SDLC)

    AI development as a stack: what to rent, adapt and build yourself (Rubric AI4SDLC ) Over the past year, I have been actively engaged in the topic of AI development at the level of a large company. On such a scale, you quickly cease to solve only operational problems: you need to define the target picture, agree on what the engineering system should become, and build a strategy for transition to it. We set goals and strategy as well. But as I moved, I started catching myself with a few less pleasant thoughts.

  26. · #Consulting

    Code of Leadership S2E7: Consulting in the Age of AI: What is left without beautiful presentations? (Category Consulting)

    Code of Leadership S2E7: Consulting in the Age of AI: What is left without beautiful presentations? (Rubric Consulting ) If AI can already gather analytics, make recommendations, and deliver a compelling presentation in a matter of minutes, what will companies pay consultants for?

  27. · #AI4SDLC

    Philipp Schmid on agent skills: first eval, then post (Category AI4SDLC)

    Philipp Schmid on agent skills: first eval, then post (Rubric AI4SDLC ) Watched a short talk by Philipp Schmid of Google DeepMindDon't Ship Skills Without EvalsThe basic thesis is simple: skill changes the behavior of an agent, so releasing it without checking is like changing code without testing. Schmid suggests checking not whether the agent has read SKILL.md, but the result of the work. To do this, each skill needs a small set of tasks: where it should connect, where it should not and what result is considered correct.

  28. · #PlatformEngineering

    ingress-nginx: how a small API acquired its own language (Category PlatformEngineering)

    ingress-nginx: how a small API acquired its own language (Rubric PlatformEngineering ) Dealing with closing ingress-nginx. This story can be described as an open source drama: the component for about half of cloud-native environments, according to internal data from Datadog, was supported for years by one or two people in their spare time. But I'm more interested in the mechanism that made him unaccompanied. The Ingress API was deliberately left small: host, path, backend, TLS.

  29. · #AI

    Anthropic and parallels with OpenAI’s Empire of AI: How a Laboratory Becomes an Institute (AI column)

    Anthropic and parallels with OpenAI’s Empire of AI: How a Laboratory Becomes an Institute (Rubric AI ) Looked at the extended interview Emily Chang with Dario Amodei for Bloomberg The Circuit, published 17 June 2026 years. Over the past few months, I’ve been deconstructing large AI labs from different angles: Google agency workflowsProhibited in Russia Meta - through world models (They were driven by Jan LeCun, who had already left the company.)Thinking Machines - through interactive large models.

  30. · #Architecture

    Research Insights Made Simple 25Why the architect’s AI-copilot still hasn’t worked out (Category Architecture)

    Research Insights Made Simple 25Why the architect’s AI-copilot still hasn’t worked out (Rubric Architecture ) AI already knows how to suggest an architectural pattern, form an ADR, and draw a compelling diagram. But does it hold the history of decisions, constraints, and consequences of change throughout the system?

  31. · #AI

    How a product from Meta launches products without being able to program (AI column)

    How a product from Meta launches products without being able to program (Rubric AI ) I looked back six months ago. release Lenny's Podcast with Zevi Arnovitz, a product from banned in Russia Meta and former PM in Wix, but forgot to write about it. Then it seemed to me that this is a new filling of the role of the product, but if it works in a conditional Meta, then it is not a fact that it is easily transferred to other companies:) Now I wrote a post about what awaits products and remembered this video and decided to share it with you.

  32. · #SRE

    Addiction Graph as a Filter to Chaos Engineering (Category SRE)

    Addiction Graph as a Filter to Chaos Engineering (Rubric SRE ) Read the five-page work of Anatoly KrasnovskiyModel Discovery and Graph Simulation: A Lightweight Gateway to Chaos Engineering" The main idea is simple: before expensive experiments with failures, you can automatically collect dependency graphs from distributed tracks, add the number of replicas and cheaply run Monte Carlo along it.

  33. · #AI4SDLC

    AMA Session on AI-assisted Engineering with Alexey Litvinova n (Category AI4SDLC)

    AMA Session on AI-assisted Engineering with Alexey Litvinova n (Rubric AI4SDLC ) Monday, 17:00 in Moscow together with Alexey Litvinov live Let’s talk about AI-Assisted Engineering and how to build an AI-Native organization in general, where we can discuss topics from working with one agent to the operating model of the whole team and organization. By the way, Lyosha has her own tg channel - @tip\ podcast, subscribe to it.

  34. · #RnD

    Causal AI database: first graph, then effect (RnD heading)

    Causal AI database: first graph, then effect (Rubric RnD ) Watched a short report by Vadim Porvatov from SberChallenges and prospects of Causal AIfrom the Data Fest 2026. It’s a good fifteen-minute route on a topic that’s often boiled down to “correlation doesn’t mean causation.” The main thesis here is more practical: before assessing the effect of an action, it is necessary to restore at least a plausible structure of causes.

  35. · #BookCube

    I love meeting interesting people at CxO Community meetings. Different companies have such communities, but Sber often has this not only with networking, but also with interesting experience.

    I love meeting interesting people at CxO Community meetings. Different companies have such communities, but Sber often has this not only with networking, but also with interesting experience. Last time the event was around wine tasting, and this time we listen to Oscar Konyukhov, the head of staff of his father, Fyodor Konyukhov. The story is about the planning and implementation of complex projects on the edge of technical and human capabilities. Thanks to the organizers of Sber CxO TechCommunity, these are really interesting events.

  36. · #AI4SDLC

    Research Insights Made Simple 23 - The economics of AI in development (Category AI4SDLC)

    Research Insights Made Simple 23 - The economics of AI in development (Rubric AI4SDLC ) The vote showed that the topic is interesting and therefore tomorrow 17:00 into live Let's break down the economics of AI in development. The bottom line is that tokens get cheaper, models get faster, but the company’s AI budget doesn’t necessarily decrease. The more work scenarios appear, the more tasks, agent chains, infrastructure, checks, and error costs become.

  37. · #BookCube

    Yesterday he spoke at the Podlodka AI Club and talked about his thoughts on the economics of AI in development.

    Yesterday he spoke at the Podlodka AI Club and talked about his thoughts on the economics of AI in development. When I was ready, I made this one. longrid like this slide-deckBut the speech itself was not recorded. I can record a separate video for channel subscribers if you want, but let’s collect , under this post so I know you like the idea. If there are more than twenty in the end, the video will be released on YouTube, if not, then only text versions will remain.

  38. · #Management

    Graham Weaver: How to come up with a game you want to win (Category Management)

    Graham Weaver: How to come up with a game you want to win (Rubric Management ) I saw it. last lecture Graham Weaver for Stanford GSB class 2025 years How to Design a Winnable Game ? Graham is a professor of management at Stanford and the founder and partner of Alpine Investors. But he’s not talking about investing, he’s talking about the moment you realize that you’ve been playing the wrong game for years. The lecture begins with a personal moment when during a crisis.

  39. · #Architecture

    ArchBench: a good frame, a weak leaderboard (Category Architecture)

    ArchBench: a good frame, a weak leaderboard (Rubric Architecture ) I read a short paper.ArchBench: Benchmarking Generative-AI for Software Architecture Tasks" The idea is sound: to assemble disparate evals for software architecture into one extensible system. But 19 July 2026 This is more a frame of the future benchmark than a working leaderboard for choosing a model. (You can evaluate the leaderboard for yourself. bench). Team. SERC From India's IIIT Hyderabad, they assembled an open system from the CLI and React site.

  40. · #AI4SDLC

    Theo Browne on AI development: think bigger, design stricter (Category AI4SDLC)

    Theo Browne on AI development: think bigger, design stricter (Rubric AI4SDLC ) I saw it. final keynote Theo Browne "Everything we knew about software has changed" with AI Engineer World's Fair 2026. Theo builds tools for developers, so it’s interesting to listen to him not as a model commentator, but as a practice in which AI has already changed the scale of projects. The main point of his report: the border of "too big" is time to draw again. Theo's shift shows through its own staircase Reddit scraper was a two-day project.

  41. · #AI4SDLC

    Published a longrid on agent stack configurations. The dispute usually boils down to a choice between “own OpenCode” and “alien Claude Code or Codex”, but this is a false fork: the binding, model and code are selected separately.

    Published. longrid about the configurations of the agent stack. The dispute is usually reduced to a choice between “own OpenCode” and “alien Claude Code or Codex”, but this is a false fork: the binding, model and tools are selected separately, and control is needed over the entire chain from data and identity to actual action in the system. I analyzed eight stack options: their TCO, lock-in, characteristic failures and security boundaries. Sovereignty and security are properties of the entire architecture, not a single component.

  42. · #AI4SDLC

    Benoit Schillings: R&D after code (Category AI4SDLC)

    Benoit Schillings: R&D after code (Rubric AI4SDLC ) I saw it. keynote report Benoit Schillings, VP from Google DeepMind at AI Engineer World's Fair 2026. His position is interesting to me - he is not a product IT leader implementing an agent in SDLC, but a head of R&D. His team is building the technology that Gemini will need on a month-to-year horizon. So instead of backlog, CI/CD and SLO, he discusses what the next model should learn. The story has a funny beginning.

  43. · #Software

    Alexey Milovidov and ClickHouse: from curiosity to a company in $15 billion (Category Software)

    Alexey Milovidov and ClickHouse: from curiosity to a company in $15 billion (Rubric Software ) I watched with great interest a great interview Elizabeth of Ossetia (foreigner) with Alexei Milovidov, creator and CTO ClickHouse. Formally, this is the story of a company with a valuation of $15 billion But I found it more interesting as an engineering project, from curiosity and internal tools to open source and global business.

  44. · #AI4SDLC

    Materials about coding agents and the importance of expertise (Category AI4SDLC)

    Materials about coding agents and the importance of expertise (Rubric AI4SDLC ) Prepared materials with podcast Code of Leadership, which was on Wednesday with Evgeny Sergey:

  45. · #Software

    The Java Story: How the Language Became a Long-lived Platform (Category Software)

    The Java Story: How the Language Became a Long-lived Platform (Rubric Software ) I watched it live yesterday. documentary CultRepo’s The Java Story is about the history of Java. In the frame were James Gosling, Joshua Bloch, Brian Goetz, the creators of Tomcat, Spring, Hibernate and Kotlin, as well as engineers of the Java ecosystem. But for me, it's not so much a story of language, it's more of a story about a whole technology platform that's survived its own mistakes, its own change of ownership, and its attempts to declare it dead.

  46. · #AI4SDLC

    Research Insights Made Simple 22How to Build a Managed Agent Stack (Category AI4SDLC)

    Research Insights Made Simple 22How to Build a Managed Agent Stack (Rubric AI4SDLC ) What does the company do in the agent platform: the client code, model, execution contour, data, or the agent’s right to change internal systems? These things are often confused and reduce the choice to a dispute between “own OpenCode” and “alien Claude Code or Codex.”

  47. · #AI4SDLC

    Materials about AI-assisted Engineering (Category AI4SDLC)

    Materials about AI-assisted Engineering (Rubric AI4SDLC ) Prepared materials with podcast Code of Leadership, which was with Alexei Litvinov on Wednesday:

  48. · #BookCube

    Through 5 We will start the stream with Alexei Litvinov, where we will talk about fresh benches of interactive work with agents: SWE-Together and SWE-INTERACT.

    Through 5 minutes off stream with Alexei Litvinov, where we will talk about fresh benches of interactive work with agents: SWE-Together and SWE-INTERACT Connect to the stream and ask questions in the comments - we will try to respond intreactively to them:)

  49. · #Architecture

    Thoughts on architecture (Category Architecture)

    Thoughts on architecture (Rubric Architecture ) I realized that in my pet projects I architecture I'm getting better from the idea that I want to cut chips fast, but

  50. · #BookCube

    A couple of promised pictures for the analysis of architecture with links between

    A couple of promised pictures to parsing architecture with connections between