Book Cube: 2026, page 7
Book Cube publications from 2026, page 7: bilingual notes, sources, and original Telegram posts.
- · #Culture
Orpheus: an ancient myth that works well as a rock opera (Category Culture)
Orpheus: an ancient myth that works well as a rock opera (Rubric Culture ) I was with my wife in May. rock opera OrpheusAnd that was the case when you accidentally cling to a couple of songs and then you go to a concert. I have a long-standing attachment to ancient Greek myths. As a child, I read a lot of them, especially the stories about Hercules: exploits, monsters, gods, demigods, the strange family conflicts of Olympus and the constant feeling that the hero almost never receives a simple reward for correct behavior.
- · #BookCube
Illustrations from the SWE-Together bench
Bench illustrations "SWE-Together"
- · #AI4SDLC
SWE-Together: Evaluating Coding Agents Through Dialogue (Category AI4SDLC)
SWE-Together evaluates coding agents in simulated user sessions and measures the effort needed to correct them. Its results connect stronger performance with fewer user interventions within this benchmark.
- · #AI4SDLC
Matt Pocock on Agent Skills: How not to fall into skill hell (Category AI4SDLC)
Matt Pocock on Agent Skills: How not to fall into skill hell (Rubric AI4SDLC ) Watch Matt Pocock perform on AI EngineerBuilding Great Agent Skills: The Missing Manual"Skills are discussed as engineering artifacts: with classification, support price and a clear quality criterion. The main idea I took away from it is that good skill is needed to get a predictable process from a probabilistic system.
- · #AI4SDLC
GitLab AI Accountability Report: Code Generation Is Outpacing Oversight (Category AI4SDLC)
GitLab’s vendor-sponsored survey describes faster coding but bottlenecks in review, validation, and accountability. I focus on traceability and responsibility rather than a call to buy tools.
- · #Books
DeepSeek in action (DeepSeek in Action) (Books column)
DeepSeek in action (DeepSeek in Action) (Rubric Books ) I finally finished reading DeepSeek in Action, which was funny. 1 July 2025 Yatsenkov was the translator of the year at DMK Press, and the original is called “DeepSeek in Action: LLM Deployment, Fine-Tuning, and Real-World Projects” from the Chinese “Laboratory of Artificial Intelligence of the Future”. I read the first part almost immediately - literally a couple of days after receiving, and then it hung in a pile for a long time. The fact is that it consists of two blocks of unequal quality.
- · #AI4SDLC
Microsoft Frontier Company: AI is becoming a separate industry (Category AI4SDLC)
Microsoft Frontier Company: AI is becoming a separate industry (Rubric AI4SDLC ) Dealing with fresh-face Microsoft Frontier Company from Microsoft 2 July 2026 Microsoft announced a new business unit for $2.5B and 6 000 Experts who will be embedded with customers to implement AI. It seems that this announcement by Microsoft almost directly recognizes that the main bottleneck of corporate AI is no longer in access to models, but in the ability to turn AI into a working production system.
- · #AI
Dylan Patel about AI-inference and co-design of software and hardware as a key to multiple growth (AI column)
Dylan Patel about AI-inference and co-design of software and hardware as a key to multiple growth (Rubric AI ) Watched Sequoia Training Data release with Dylan Patel, founder of SemiAnalysis:Why Hardware-Software Co-Design Is AI's Real 100x" In fact, I follow the work of this company. (Like me. handler Previous Post “The Great GPU Shortage”).
- · #AI4SDLC
Stack Overflow Pulse Survey: AI Agents Are in Use, but Not Yet Autonomous (Category AI4SDLC)
Stack Overflow’s May 2026 pulse survey finds wider agent use under human oversight. I discuss autonomy limits, single-agent preferences, barriers, and the sample’s limits.
- · #AI
Code of Leadership S2E3: How to create AI products with Daniel Levinishnikov n (AI column)
Code of Leadership S2E3: How to create AI products with Daniel Levinishnikov n (Rubric AI ) Out. new edition of my podcast Code of Leadership with Daniel Levinishnikov is a product leader who deals with AI products at T-Bank. It’s not just about AI, it’s about how to build products in a big company, how to manage teams at scale, and what’s going to happen to product roles in the years ahead. By the way, Daniel has his own channel. https://t.me/tldrdaniel
- · #Architecture
System Design Space (Category Architecture)
System Design Space (Rubric Architecture ) I haven't talked much about my pet project system-design.space in recent months, but I haven't stopped working on it.) In fact, it was 3 main tracks
- · #AI4SDLC
AI Research OS: How Second Brain Becomes Memory for Agents (Category AI4SDLC)
AI Research OS: How Second Brain Becomes Memory for Agents (Rubric AI4SDLC ) I saw it. speech Paul Iusztin of Decoding AI (Author of LLM Engineer's Handbook) Louis-François Bouchard of Towards AI (Author of Building AI Systems for Production) on the AI Engineer channel: "Turn 10,994 Notes Into Memory. It happened to me that the guys were solving a problem that I often face now: research on different topics is accumulating, documents are scattered across different sources and collecting context for a new question is not very difficult.
- · #Films
Shurik's in the Matrix. Full film (Filed under Films)
Shurik's in the Matrix. Full film (Rubric Films ) This short A super-mix of the history of the Matrix, our context and heroes from Soviet films of the past. In the end, it's very, very cool. I recommend watching if you haven’t seen:)
- · #BookCube
Today I recorded an interview as part of the Code of Leadership podcast with my colleague Daniel Levinishnikov from our AI Center.
Today I recorded an interview as part of the Code of Leadership podcast with my colleague Daniel Levinishnikov from our AI Center. We talked about Daniel’s career path, the criteria for a good AI product, how the launch of such a product in a corporation looks like, how the management of a large team of ML / AI specialists is built, about leadership in an era of change and so on.
- · #AI4SDLC
Evgeny Kokuykin on AI Security - AI Dev Podcast (Category AI4SDLC)
Evgeny Kokuykin on AI Security - AI Dev Podcast (Rubric AI4SDLC ) I saw it. podcast AI Dev Conf, in which Evgeny Kokuykin, Andrey Dmitriev and I participated. We talked about what happens to security when not only people start writing coders, but also agents with different tools, accesses and rights to change. Speaking about the guest, Evgeny Kokuykin is CEO of HiveTrace, co-founder of Raft, head of AI Security Lab at ITMO and member of OWASP Agentic Security.
- · #AI4SDLC
AI-DLC: how AWS is trying to turn SDD into an operating model (Category AI4SDLC)
AI-DLC: how AWS is trying to turn SDD into an operating model (Rubric AI4SDLC ) Dealing with the document.AI-Driven Development Lifecycle (AI-DLC\) Method DefinitionRaja SP is the Principal Solutions Architect of Amazon Web Services. The document appeared about a year ago and Official AWS DevOps blog post With reference to this whitepaper came 31 July 2025 years. Interestingly, AWS presented Kiro 14 July 2025 Agentic IDE with spec-driven development requirements.md, design.md, tasks.md, steering files, hooks and so on.
- · #AI4SDLC
QAk-QAk about AI: quality has not gone anywhere, it has become more important (Category AI4SDLC)
QAk-QAk about AI: quality has not gone anywhere, it has become more important (Rubric AI4SDLC ) Out. finale The fifth season of the podcast QAk-QAk – and in Production, where I was invited to talk about AI, quality and how to fit into the new pace of change. We recorded it back in May and I think it was quite interesting. AI is changing the definition of working within SDLC. In the past, IT professionals often told other industries about digital transformation. (digital transformation)How to digitize processes, move data online, speed up business.
- · #BookCube
An interesting announcement of the public beta Claude Science. I think I know how I'm going to spend this evening:)
Interesting. announcement Public Beta Claude Science. I think I know how I'm going to spend this evening:)
- · #SystemDesign
Object Oriented Design Interview: An Insider’s Guide (Object Oriented Design. Preparing for a difficult interview) (Category SystemDesign)
Object Oriented Design Interview: An Insider’s Guide (Object Oriented Design. Preparing for a difficult interview) (Rubric SystemDesign ) I already did. told book 2025 Insider’s Guide by ByteByteGo, but recently released translation From Peter Publishing with my review on the cover of the book:) This book was not about high-level system design, but about lower-level object-oriented design. (OOD, object-oriented design)Ideas are transformed into classes, interfaces, states, threads, and so on.
- · #AI4SDLC
Angie Jones on an Autonomous Engineering Organization and Its Consequences (Category AI4SDLC)
Angie Jones describes Block’s move through five stages of agent autonomy, the infrastructure it required and the difficult questions raised by the layoffs that followed.
- · #AI
Google Cloud AI agent trends 2026: advertising but useful checklist (AI column)
Google Cloud AI agent trends 2026: advertising but useful checklist (Rubric AI ) Read the report. Google Cloud «AI agent trends 2026»It seemed to me more like a vendor approach to sales than a scientific study. The methodology was based on internal interviews with Google Cloud and Google DeepMind, customer stories, and a report. Google Cloud «The ROI of AI 2025» based on the survey "3 466 enterprise decision makers”. In general, this is more like a signal about where Google Cloud wants to move its enterprise customers.
- · #AI4SDLC
Gergely Orosz on AI in development: slow down to speed up (Category AI4SDLC)
Gergely Orosz on AI in development: slow down to speed up (Rubric AI4SDLC ) Watch Keynote Gergely OroszSlow down to speed up: AI and software engineering” The Craft Conference was held in Budapest. The main idea of Gergely is similar to my theses with highload AI has made it easier to write code, but questions have arisen about the credibility of these AI changes. If the team generates pull requests faster than they can understand, validate, and associate them with the product result, then local acceleration easily turns into system slowdown.
- · #Books
Noise: A Flaw in Human Judgment (Noise. Imperfection of human judgment) (Books column)
Noise: A Flaw in Human Judgment (Noise. Imperfection of human judgment) (Rubric Books ) I recently finished reading the book Noise by three authors Kahneman, Siboni and Sunstein, in which respected scientists said that bad decisions arise not only because of bias, that is, systematic bias, but also because of variability: different people or the same person at different times make different decisions where the solutions should be the same.
- · #RnD
T-Meetup: R&D in Vladivostok (Category RnD)
Notes from the Vladivostok R&D meetup: how research differs from product development, international approaches, and five engineering research areas at T-Bank.
- · #Books
Inside the AI (How AI Works) (Books column)
Inside the AI (How AI Works) (Rubric Books ) I read the book “Inside AI” on the way to Vladivostok. How It Works by Ronald Kneuzel, who explains complex topics literally on her fingers. How AI Works: From Sorcery to Science 2023 year, and the translated book was published in 2026 year. The author himself, Ronald T. Kneusel, is a date Satanist who has experience in the medical domain. It seemed to me that the author set himself the task of explaining AI so that the reader would stop perceiving AI as magic.
- · #AI4SDLC
AWS about teams in agentic world: why the organization became part of the AI architecture (Category AI4SDLC)
AWS about teams in agentic world: why the organization became part of the AI architecture (Rubric AI4SDLC ) Reviewed by Stephen Brozovich of AWSA leader's guide to advanced team structures in an agentic world" It’s a good guide for leaders to change a company’s operating model when agents start working alongside people. Stephen's role is interesting. AWS Executive in Residence And he works with Amazon. 1999 years. During this time, he has gone from technical teams to working with people, culture and organizational transformation.
- · #AI4SDLC
Databricks about production AI: why the model is chosen near the end of the project (Category AI4SDLC)
Databricks about production AI: why the model is chosen near the end of the project (Rubric AI4SDLC ) Viewed the report by Sandipan Bhaumik of DatabricksThe Production AI Playbook: Deploying Agents at Enterprise Scale", in which the author shared his approach to the introduction of agents in client enterprise projects, where it was necessary to go from the wow effect on demo to production:) Ironically, most AI projects started with the question “GPT or Claude?” Next, a beautiful prototype was quickly assembled on pure data, the management was happy, and…
- · #AI4SDLC
Token Burn as Proof of Work: Why AI Metrics Easily Leave to Work (Category AI4SDLC)
Token Burn as Proof of Work: Why AI Metrics Easily Leave to Work (Rubric AI4SDLC ) Increasingly, I think about token maximizing and metrics like how many tokens an employee has burned. There is a funny, but unpleasant rhyme with proof of work in crypt: a person does not present a result, but a proof of a calculation spent. Look, I burned enough tokens, so I was working right. Just yesterday on the sidelines of Highload++ discussed this with other experts. (debated after State of AI4SDLC on HighLoad + +").
- · #AI4SDLC
Cursor Compile 26: From IDE to Agent Platform (Category AI4SDLC)
Cursor’s first Compile keynote presents cloud agents, mobile oversight, Origin and a new foundation model as parts of an agent-driven development platform. Vendor claims remain attributed.
- · #AI4SDLC
State of AI4SDLC on HighLoad++: materials for the report (Category AI4SDLC)
State of AI4SDLC on HighLoad++: materials for the report (Rubric AI4SDLC ) I spoke today. Saint HighLoad++ 2026 State of AI4SDLC: How AI is Changing Development Processes in Large Companies The main idea I had was that AI4SDLC is now about redesigning the engineering system: platform, processes, metrics, security, economics and the very role of an engineer. 1️ In the first part, I showed that the implementation of AI has already happened, but trust and team effect do not keep up with it.
- · #AI4SDLC
Dora ROI: how to calculate the effect of AI-assisted development without magic (Category AI4SDLC)
Dora ROI: how to calculate the effect of AI-assisted development without magic (Rubric AI4SDLC ) Deal with the new report DORA and Google CloudThe ROI of AI-assisted Software Development\. He's good at continuing the last Dora. 2025 "State of AI-assisted Software Development" handlerThe main thing was that AI works as an amplifier of an engineering system, and the effect depends on seven possibilities. (I'm sorry. handler separately). The main point of the previous report was that strong teams from AI get more speed, weak teams get more chaos.
- · #AI4SDLC
[2/2] The New SDLC: Harnesses, the Factory Model, and the Economics of Agentic Engineering (Category AI4SDLC)
Google’s whitepaper describes the agent harness, the developer’s changing role, the difficult final 20% of a feature, and the cost trade-offs between vibe coding and agentic engineering.
- · #AI4SDLC
[1/2] The New SDLC: From Vibe Coding to Agentic Engineering (Category AI4SDLC)
\[1/2\] The New SDLC: From Vibe Coding to Agentic Engineering (Rubric AI4SDLC ) I read May. whitepaper Addy Osmani, Shubham Saboo and Sokratis Kartakis from Google’s AI Agent Training Series. The document is useful not in fashionable terms, but in collecting stable mental models: the tools change every week, and the frame must survive this change. It doesn’t fit in one post, so there will be two:)
- · #Leadership
Archetypes and strategization (Category Leadership)
Archetypes and strategization (Rubric Leadership ) Yesterday, for the third time, I was trained by Andrei Shishakov on archetypes and personal strategizing. And it's not that I don't understand the first time, but rather that I like the way Andrei pitches his material and twists it year after year. For me, such training is often a way to go even deeper into self-reflection and get some insights: for the first time I studied with Andrei in the school. 2022 after all known events, the second time 2024 A year and a third time now.
- · #AI4SDLC
Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance (Category AI4SDLC)
A study of 7 156 pull requests shows why agent acceptance rates need to be compared by task type, with attention to unequal samples and the limits of merge rate.
- · #Books
Hard & Soft: How the Russian information technology market was created (Books column)
Hard & Soft: How the Russian information technology market was created (Rubric Books ) I read this book by Boris Shcherbakov, which tells the story of the birth of IT in Russia, but it is rather an ironic autobiographical book about how the management practices of large companies looked in practice in the 90s. This is the story of a man who worked at Hewlett-Packard, Verysell, Party, Oracle and Dell, was at the origins of the Russian IT market and adapted Western management approaches to the local context.
- · #AI
WebMCP: How every website talks to agents — Tara Agyemang, Google Chrome(AI column)
WebMCP: How every website talks to agents — Tara Agyemang, Google Chrome(Rubric AI ) Interesting. speech Tara Agyemang from Google Chrome about WebMCP. Not the emergence of a new browser API, but a more practical idea: normal browser flow management for agents can be arranged not through “look at the screen and guess where to click”, but through explicit tools that the site itself gives to the agent.
- · #AI4SDLC
Your Attention Is the Bottleneck, Not Your Agents — Zack Proser, WorkOS (Category AI4SDLC)
Your Attention Is the Bottleneck, Not Your Agents — Zack Proser, WorkOS (Rubric AI4SDLC ) I saw it the other day. report Zack Proser from WorkOS, which talks about AI burnout from working with agents. I think you know what it feels like to work with Claude or Codex, when it seems like more has been done than before, but by the middle of the day, you’ll be out. I really started feeling that when I was running agents all day.
- · #AI
Stop Making Models Bigger, Make Them Behave — Kobie Crawford, Snorkel (AI column)
Stop Making Models Bigger, Make Them Behave — Kobie Crawford, Snorkel (Rubric AI ) I saw it. 20minute report Kobie Crawford from Snorkel AI conference AI Engineer London (10 April 2026). This is a rare report that goes against the usual "new model bigger and smarter." The main idea is simple and inconvenient for the race of parameters: the capabilities of the model are limited not so much by the architecture and number of parameters, but by the quality of data and tasks on which it was trained.
- · #AI4SDLC
AIDev: Studying AI Coding Agents on GitHub (Category AI4SDLC)
AIDev: Studying AI Coding Agents on GitHub (Rubric AI4SDLC) Read it. short from 9 February 2026 Learn how to learn coding agents from real PR, not demos. It presents a public dataset on which agentic software engineering can be studied not by demos, but by the tracks of real pull requests. Authors are Hao Li, Haoxiang Zhang and Ahmed E. Hassan of Queen's University. This is a good sign of trust: Hassan has long been involved in empirical software engineering and mining software repositories.
- · #AI4SDLC
AI Dev Podcast 3 How to Make a Code Review Tool / T-Bank Experience (Category AI4SDLC)
AI Dev Podcast 3 How to Make a Code Review Tool / T-Bank Experience (Rubric AI4SDLC ) Listened. The latest release of AI Dev Podcast, where my colleagues from T-Bank - Nadezhda Egoshina and Georgy Mkrtchyan - tell hosts Andrei Dmitriev (co-founder jug.ru and the author of the channel @dmitrievandrey8) Andrey Burakov (channel author @another\ sa)It’s like the AI Code Review. I listened with special interest: the topic is close, and the guys talk about the real way, not much embellishing.
- · #Writing
How I write longreads on topics that are important to me (Category Writing)
How I write longreads on topics that are important to me (Rubric Writing ) I decided to share a recipe for how I now write important and difficult articles on technical topics. From the last article,IDP is Dead? No, the GUI monopoly is dying.andAgent-first IDP: how bigtechs and clouds prepare for agents».
- · #PlatformEngineering
Agent-first IDP: how bigtechs and clouds prepare for agents (Category PlatformEngineering)
Agent-first IDP: how bigtechs and clouds prepare for agents (Rubric PlatformEngineering ) Wrote. continuation to an essay on internal platforms. Last time in the textIDP is Dead? No, the GUI monopoly is dying.I’ve explored why the internal platform is losing the monopoly of its GUI and turning into a platform for agents – a layer of capabilities that not only people but also agents turn to. It was about why. The new text is about how. And in the new article, I specifically did not go into futurology.
- · #AI4SDLC
SDLC with AI look through metrics - Anna Gromova @ AI Dev Conf (Category AI4SDLC)
SDLC with AI look through metrics - Anna Gromova @ AI Dev Conf (Rubric AI4SDLC ) Watched May. speech Anna Gromova from T-Bank from the AI Dev Conf conference. Anya and I often discuss AI performance metrics at work, so it’s especially helpful to me that there’s a record that can now be referenced: it’s a relevant and in-depth analysis of how we approach this topic at home. The main idea there is very practical: AI in development can not be properly evaluated if you do not understand the process of code delivery.
- · #AI4SDLC
What if the network was the sandbox? — Remy Guercio, Tailscale (Category AI4SDLC)
What if the network was the sandbox? — Remy Guercio, Tailscale (Rubric AI4SDLC) I saw it. report Remy Guercio from Tailscale from AI Engineer Confa, 1 June 2026It’s about how to run AI agents into an organization if they need keys, accesses, MCP tools, and sometimes production data. Remy Guercio himself is engaged in strategic projects at Tailscale, which many people know as the “convenient VPN on WireGuard”. But the company has long positioned itself more broadly as a platform to connect with zero trust. (zero trust) It's based on identity.
- · #AI4SDLC
State of AI4SDLC on AI Dev Conf: how AI bridges development bottlenecks (Category AI4SDLC)
State of AI4SDLC on AI Dev Conf: how AI bridges development bottlenecks (Rubric AI4SDLC ) Appeared. notebook AI Dev Conf 2026. The point is simple. AI assistants made coding faster, but it didn’t speed up the entire development. The bottleneck did not disappear, but moved up the process: to the quality of the task statement, to the verification of the result and to the operating model of the engineering organization.
- · #AI4SDLC
Turbo ML Conf 18 July: Come to the State of AI4SDLC (Category AI4SDLC)
Turbo ML Conf 18 July: Come to the State of AI4SDLC (Rubric AI4SDLC ) 18 July will be held in Moscow Turbo ML Conf T-Bank conference for those who push the boundaries of ML and turn ideas into working products. I’m giving a talk on “State of AI4SDLC: How AI Removes Development Bottlenecks” and why it’s worth going there all day. First the report. AI in development has already become everyday: coding, revision, planning, debugging.
- · #AI4SDLC
Building OpenCode with Dax Raad: A Conversation with Its Creator (Category AI4SDLC)
Dax Raad discusses OpenCode’s growth, positioning and inference business, while questioning productivity hype and stressing engineering quality and domain expertise.
- · #AI4SDLC
BDD, ADR, PRD, WTF: Capturing Decisions for Humans and AI Alike — Michal Cichra, Safe Intelligence (Category AI4SDLC)
BDD, ADR, PRD, WTF: Capturing Decisions for Humans and AI Alike — Michal Cichra, Safe Intelligence (Rubric AI4SDLC ) Dealing with report Michal Cichra of Safe Intelligenc, with whom he spoke at AI Engineer Europe 2026 London 8-10 April 2026. I liked the report because the author looked at how agents break the implicit agreements of the teams and what to do about it.
- · #PlatformEngineering
IDP is Dead? No, the GUI monopoly is dying. (Category PlatformEngineering)
IDP is Dead? No, the GUI monopoly is dying. (Rubric PlatformEngineering ) I wrote it here. essay How AI is not just changing the interface of platform products, but the very nature of platform products... and what platform teams can do about it. I've been thinking a lot about this lately, and I've been looking at cases as well. Gitlab, Github, Atlassian