Book Cube: 2026, page 10
Book Cube publications from 2026, page 10: bilingual notes, sources, and original Telegram posts.
- · #Engineering
How AI is Changing Engineering Culture by Alexander Polomodov (Category Engineering)
How AI is Changing Engineering Culture by Alexander Polomodov (Rubric Engineering ) There's a tape of mine. speech At the Dream Teamlead conference hosted by Yandex last Saturday. I already am.
- · #DevOps
State of AI4SDLC at DevOpsConf 2026 (Category DevOps)
State of AI4SDLC at DevOpsConf 2026 (Rubric DevOps ) Tomorrow I'm the first to open DevOpsConf. report In the main hall, I'll talk about our AI4SDLC research, and what it means to us as software engineers. I will talk about how new development processes look like, how they are implemented in foreign bigtechs, as well as how we operate at T-Bank.
- · #BookCube
I decided to do a little survey to find out what content you like best on the channel. I will try to take into account your opinion and adjust the density of posts in the right direction.
I decided to do a little survey to find out what content you like best on the channel. I will try to take into account your opinion and adjust the density of posts in the right direction. Thank you for signing and reading the channel.
- · #Engineering
The programming language after Kotlin – with the creator of Kotlin (Category Engineering)
The programming language after Kotlin – with the creator of Kotlin (Rubric Engineering ) Another interesting one. release "The Pragmatic Engineer" this time with Andrey Breslav, the creator of Kotlin and the founder of CodeSpeak, in which Gergeli Orosh discusses with Andrey how engineering platforms and languages emerge and succeed - through the right time to emerge, trade-offs, the importance of tools, compatibility with the ecosystem and a clear understanding of what a person should do and what a machine should do.
- · #Management
How bigtechs plan to implement AI-native development at home 2026 year (Category Management)
How bigtechs plan to implement AI-native development at home 2026 year (Rubric Management ) In previous articles in this series, I wrote that the industry is moving from Classical PDLC for AI-native developmentand then to AI-native organizations. In this article, I planned to look at bigtech approaches to organizing this transition and setting goals within the organization, as well as measuring results.
- · #AI
GitHub will teach its models on user behavioral data (AI column)
GitHub will teach its models on user behavioral data (Rubric AI ) GitHub refresh rules for Copilot: c 24 April 2026 Free/Pro/Pro+ user interaction data can be used to train default AI models unless manually disabled. This is not just about prompts, but also about the rest of the information: Copilot answers, pieces of code, comments and other context that the user sends to Copilot during the session.
- · #SystemDEsing
System-Design.Space (Update) (Category SystemDEsing)
System-Design.Space (Update) (Rubric SystemDEsing ) In recent weeks, I have not stopped with the revision of my site system-design.space. So today I decided to share three key changes.
- · #DevOps
[2/2] Perforce’s State of DevOps Report 2026 (Category DevOps)
The report links managers’ accounts of AI success to DevOps maturity, standardized delivery, auditability, and incident response. Trust in AI is running ahead of operational readiness.
- · #DevOps
[1/2] The State of DevOps Report 2026 Perforce (Category DevOps)
\[1/2\] The State of DevOps Report 2026 Perforce (Rubric DevOps ) I studied a new one.State of DevOps 2026Perforce, which focused on the question of whether AI’s success in a value delivery system really determines whether the AI tools themselves or the maturity of the engineering system.
- · #Engineering
From Writing Code to Managing Agents. Most Engineers Aren't Ready Stanford University, Mihail Eric (Category Engineering)
From Writing Code to Managing Agents. Most Engineers Aren't Ready Stanford University, Mihail Eric (Rubric Engineering ) Interesting. interview Mihail Eric, Head of AI at Monaco and Stanford lecturer, where he teaches a course.CS146S: The Modern Software Developer" Mihail Eric talks about where software development really goes.
- · #Engineering
How AI is Changing Engineering Culture and What It Means for Team Leaders and Engineers (Category Engineering)
How AI is Changing Engineering Culture and What It Means for Team Leaders and Engineers (Rubric Engineering ) That's the kind of report I'm making today. 15:40 at the conferenceDream Teamlead" from Yandex. I will talk about how engineering processes are changing now and what this means for the industry and for the conditional team, which now needs to be able to work in the format of Software Engineering. 1.0, but also in a new format. It's great that the guys will be available. livestream
- · #Devops
The State of DevOps Modernization 2026 (Category Devops)
Harness’s survey links frequent AI coding use with faster deployments and greater downstream strain, while explicitly stopping short of establishing causation.
- · #Agents
From IDEs to AI Agents with Steve Yegge (Agents column)
From IDEs to AI Agents with Steve Yegge (Rubric Agents ) I saw it. release Gergely Orosz podcast "The Pragmatic Engineer" with a cool guest, Steve Yegge, a famous engineer ex-Google, ex-Amazon, ex-Grab, who has a special name. 40+ years in development. He loves and can write provocative lyrics about the industry, recently co-authored the book Vibe Coding, and created an open-source agent orchestrator. Gas Town. The guys discussed how the unit of engineering work is changing in our time. The main thoughts that I remember are:
- · #Management
From Classic Task Management in Jira to AI-native Task Management (Examples of Atlassian and Linear) (Category Management)
From Classic Task Management in Jira to AI-native Task Management (Examples of Atlassian and Linear) (Rubric Management ) Wrote. article That the era of “get a ticket to Jira” is coming to an end... not because the ticket will disappear, not because tomorrow all the teams will suddenly move to some new instrument, but because the ticket is no longer the center of the world. In the classical model, it was the basic unit of coordination: it lived requirements, priority, performer, status, comments, transfer of responsibility between roles.
- · #Edu
Domain Expertise Still Wanted: Trends in AI-Assisted Developer Learning (Category Edu)
A Stack Overflow pulse survey suggests AI is becoming the first stop for learning, while documentation, community knowledge and verification remain important.
- · #DevEx
Optimizing for Time: Dark Matter (Filed under DevEx)
Optimizing for Time: Dark Matter (Rubric DevEx ) I watched with great interest. report frankly DPE Summit Karima Nakada (Karim Nakad) from the banned company Meta in Russia. I liked the name, which refers to cosmological theories that explain the state of our universe through dark matter. Here, this metaphor refers to the fact that we often focus on the visible spectrum of development: improving IDEs and speeding up builds, but ignore the huge time spent on daily routine.
- · #Engineering
TAM-Eval and RM-RF from RnD Center T-Technologies (Category Engineering)
TAM-Eval and RM-RF from RnD Center T-Technologies (Rubric Engineering ) Our R&D center presented pair TAM-Eval and RM-RFIt makes the generation of modular tests using LLM noticeably more practical for visual design.
- · #AI
The Anthropic Economic Index report: Economic Primitives (AI column)
The Anthropic Economic Index report: Economic Primitives (Rubric AI ) An interesting one came out in January. report From Anthropic, in which they not only talked about how Claude helps everyone work more efficiently, but also shared a new approach with economic primitives. In fact, the authors took 1 Millions of Claude.ai conversations and 1 Millions of 1P API records 13-20 November 2025 And we ran them through a set of simple economic primitives -- basic coordinates of how the model is used.
- · #AI
The End of Coding: Andrej Karpathy on Agents, AutoResearch, and the Loopy Era of AI (AI column)
The End of Coding: Andrej Karpathy on Agents, AutoResearch, and the Loopy Era of AI (Rubric AI ) I saw it. podcast "No Priors" with Andrej Karpathy. This series was published. 20 March 2026 Sarah Guo, founder of Conviction and host of the podcast, talks to Andrey, and the main idea of the release was that software engineering was already shifting from writing code to orchestrating agents.
- · #AI
Transport Protocols for AI Agents (AI column)
Transport Protocols for AI Agents (Rubric AI ) Over the past year, we have seen an interesting evolution: AI gradually ceases to be a superstructure over existing interfaces and begins to form its own layer of interaction. Remember the path that MCP, A2A, A2UI protocols have taken
- · #RnD
Silicon sampling (RnD heading)
Silicon sampling (Rubric RnD ) Today I spoke with a colleague who is engaged in a platform for conducting qualitative and quantitative research. ( Hey, Andrew. ). In the course of the conversation, I remembered about this interesting and rapidly developing approach to conducting them, where the LLM receives a sociodemographic “biography”. (backstory) She answers questions on her behalf. This allows you to reproduce the opinions of thousands of demographic groups without recruiting real participants.
- · #AI
Measuring AI in SDLC: From Adoption Metrics to Business Value and User Outcome (AI column)
Measuring AI in SDLC: From Adoption Metrics to Business Value and User Outcome (Rubric AI ) About a week ago, my colleague Anna Gromova performed at Yandex AI Dev Day. She directs product analytics for internal platforms, SDLC processes, and AI tools, which is why she was the best person to talk about it. Speech It was quite short and had a similar structure.
- · #AI
SonarSource’s State of Code Developer Survey (Category AI)
SonarSource’s survey finds widespread AI coding use alongside low trust and substantial verification work, with implications for security, technical debt and tool governance.
- · #AI
From AI-native development to AI-native organization (bigtech (AI column)
From AI-native development to AI-native organization (bigtech (Rubric AI ) Wrote. continuation The article on ai-native developmentFrom PDLC to AI-native development" The main focus of the new article revolves around the idea that if the transition to ai-native development changes the engineering process itself, then the organizational structure changes further - this is evident from the announcements and actions of big tech companies that are most actively involved in the AI race. And then it will affect the rest.
- · #SystemDesign
Distributed Systems Without Magic: What CAP and PACELC Really Say (Category SystemDesign)
Distributed Systems Without Magic: What CAP and PACELC Really Say (Rubric SystemDesign ) 19 In March, I gave a lecture to Central University students on a wide range of topics – we talked about the CAP and PACELC theorems, we discussed how consistency in these theorems differs from consistency in ACID, we talked about how the declared guarantees of consistency are tested.( On the example of the project from Jepsen)Cassandra was discussed as an example of a distributed database with tunable consistency.
- · #Agents
[2/2] Agentic coding at Airbnb (Agents column)
\[2/2\] Agentic coding at Airbnb (Rubric Agents ) In the past. post We stopped at the fact that the guys from Airbnb had three goals when implementing the agency approach to development, and now it is interesting to see how they went to them.
- · #Agents
[1/2] Agentic coding at Airbnb (Agents column)
\[1/2\] Agentic coding at Airbnb (Rubric Agents ) It's another one. note on September DPE SummitThe one I talked about earlier. In it, the guys from Airnbnb told how they built an agency model of development and moved from classic PDLC to AI-native development. (approximately in the direction I described in eponymous). And here we are not talking about some toy applications created by agents, but about agency development in their monorepe with standard requirements for security, compliance and with 1k+ engineers in it.
- · #DistributedSystems
CAP, PACELC and consistency models (Category Distributed Systems)
CAP, PACELC and consistency models (Rubric DistributedSystems ) I'll be reading tonight. lecture with this name for students of Central University (It's good that I've recovered by now.). In this lecture, we will talk about the well-known in narrow circles theorems CAP and PACELC, discuss how consistency in these theorems differs from consistency in ACID, talk about how claimed guarantees are checked, and at the end of the lecture we will discuss Cassandra as an example of a distributed database with tunable consistency.
- · #Engineering
Just-in-Time Catching Test Generation at Meta (Category Engineering)
Just-in-Time Catching Test Generation at Meta (Rubric Engineering ) Researchers banned in Russia Meta wrote interesting whitepaper About a new class of autotests - regression catching tests . Standard. hardening They must be insured against future regressions. New catching tests You should drop on a specific incoming diff and pass on the parent version. The idea is not to wait for the bug to pop up later, but to try to catch it at the time of a review or CI, before the code is injected.
- · #Travel
Natural History Museum - Souvenir guide (Category Travel)
Natural History Museum - Souvenir guide (Rubric Travel ) Since Sunday I've been in some twilight state - fever, joint pain and head pain. I spent most of my time in bed. But today in between the temperature (afternurafen) I read this book from the Natural History Museum in London. The museum itself made a great impression on me and I looked at and photographed its exhibits with interest as I wandered around it.
- · #Space
[2/2] Soviet Space Mythologies: Public Images, Private Memories, and the Making of a Cultural Identity (The Mythology of Soviet Space) (Category Space)
\[2/2\] Soviet Space Mythologies: Public Images, Private Memories, and the Making of a Cultural Identity (The Mythology of Soviet Space) (Rubric Space ) Continue. story I would like to talk about the insights that came to my mind as I read it, given my design experience and current focus on agency development and moving development engineers into a different role than before. (Astronaut pilots became more astronauts-engineers).
- · #Space
[1/2] Soviet Space Mythologies: Public Images, Private Memories, and the Making of a Cultural Identity (The Mythology of Soviet Space) (Category Space)
\[1/2\] Soviet Space Mythologies: Public Images, Private Memories, and the Making of a Cultural Identity (The Mythology of Soviet Space) (Rubric Space ) I read an excellent book. Vyacheslav Gerovich (Slava Gerovitch)Professor of Science, Senior Lecturer at MIT. Original came out 2015 University of Pittsburgh Press and Russian translation came out 2024 One year in the New Literary Review.
- · #Travel
Waterpark in Zavidovo ( Travel)
Waterpark in Zavidovo ( Travel ) On the second try, we drove the family to this water park and we like it here. We were supposed to come here on the eighth of March, but the youngest son fell ill and we postponed everything for a week. And this morning we got up, gathered and for an hour and a half on the payroll Moscow-Peter came to the hotel "Ryabina", settled down and went to the water park in their robes.
- · #Software
The Software Development Lifecycle Is Dead (Category Software)
The Software Development Lifecycle Is Dead (Rubric Software ) In this interesting February article 2026 Boris Tane is making a high-profile announcement about the death of the SDLC, which in my opinion reflects the situation strategically, but ahead of current approaches by a year. I think we'll move on from Classical PDLC for AI-native development And this article by Boris. mention @brolnickij on @ai4sdlc, where you can discuss posts from this channel and beyond.
- · #SystemDesign
How to Use System Design Space + Learning Tracks (Category SystemDesign)
How to Use System Design Space + Learning Tracks (Rubric SystemDesign) Got it. boarding For system-design.space. The site helps to systematically develop design skills: from basic principles to interviews and practical architectural solutions.
- · #AI
[2/2] Measuring AI’s Impact on Developer Productivity at Meta (Category AI)
Meta’s findings show uneven gains, an adaptation dip and important limits to diffs-per-developer metrics, including differences by experience and research-heavy work.
- · #AI
[1/2] Measuring the Impact of AI on Developer Productivity at Meta (AI column)
\[1/2\] Measuring the Impact of AI on Developer Productivity at Meta (Rubric AI ) Excellent. speech from the guys from the banned Meta in Russia, which I have reviewed 3To better understand all the details. Performed by Payam Shodjai (senior director of product management) Pavel Avgustinov (techlead) Meta’s developer productivity areas and they told a bunch of interesting approaches + technical details about how they approach this issue.
- · #ai4sdlc
From PDLC to AI-native development (Category ai4sdlc)
From PDLC to AI-native development (Rubric ai4sdlc ) Wrote. article Medium is about how AI changes not only the speed of code writing, but the very organization of engineering work. We're gradually moving away from SE. 1.0 Process with roles, stages and handoffs - to SE 2.0Some of the engineering work is done by AI tools and agents. But it's not free acceleration. If you don’t rebuild review, tests, CI/CDs, and guardrails, AI simply moves the bottleneck further down the chain.
- · #Productivity
What Makes a Great Developer Experience? (Category Productivity)
What Makes a Great Developer Experience? (Rubric Productivity ) Interesting. report Max Kanat-Alexander with DPE Summit 2025 (More about the summit here). Max talks about three whales of good developer experience 1. Cycle time How long does it take from the idea to the result? 2. Focus How much time the developer has to work without twitching 3. Cognitive load How much extra you need to keep in mind to do a useful task
- · #Productivity
DORA AI Capabilities Model - Review of the Report (Category Productivity)
DORA AI Capabilities Model - Review of the Report (Rubric Productivity ) I read it this weekend. report about this companion model report 2025 year, which is called "State of AI-assisted Software Development" The main point of the DORA AI Capabilities Model is that AI itself does not guarantee improvement, but it strengthens the already existing sociotechnical system – good practices reinforce, bad too. The model 7 Capabilities that increase the chance that AI will have a noticeable positive effect.
- · #Productivity
How quietly DORA became not four, but five metrics (Category Productivity)
How quietly DORA became not four, but five metrics (Rubric Productivity ) For a long time, DevOps Research & Assesment, or simply DORA, has had a long history. 4 metrics on which the clustering of teams on different levels of elite was built. These metrics were about delivery speed and stability. Delivery speed: deployment frequency and lead time for changes MTTR/time to restore service and change fail rate This story can be read in more detail in my Reading "Accelerate")
- · #Productivity
You can write code faster. Can you deliver it faster? (Category Productivity)
You can write code faster. Can you deliver it faster? (Rubric Productivity ) It's opening. keynote report DPE Summit Conference 2025 (I'm talking about her. mentioned). It is told by Hans Dockter, CEO of Gradle Inc, who is associated with the theme of build automation and delivery pipeline: he founded Gradle Build Tool, led large enterprise-assemblies and has long worked at the intersection of tooling, DevEx and software delivery.
- · #Architecture
"Architecture, Management and Impact of AI on Development"
"Architecture, Management and Impact of AI on Development" I had a chat for comments on this channel for a long time, but I didn't really talk about it:) Now I've decided to change my approach and invite you to this chat @ai4sdlc where we can discuss design, technical guidance and more. And of course, there you can talk about the impact of AI on development, as I now deal with this topic full-time in my work. I'll be in this part quite often. (At least to remove bots from it.). Anyway, you're welcome. https://t.me/ai4sdlc
- · #Productivity
DPE Summit 2025 Gradle: Why this is one of the most rewarding conferences about engineering productivity (Category Productivity)
DPE Summit 2025 Gradle: Why this is one of the most rewarding conferences about engineering productivity (Rubric Productivity ) I like the conference. DPE (Developer Productivity Engineering) Gradle is held annually in San Francisco. I've often told you about the summit. 2024 year (For example, here: 1, 2, 3 and 4). This event focuses on engineering productivity and DX. (developer experience) And this year it's gone. 23–24 In September, the organizers posted the recordings of the sessions. (here playlist).
- · #Engineering
IntelliJ IDEA — The IDE That Changed Java Forever DOCUMENTARY (Category Engineering)
IntelliJ IDEA — The IDE That Changed Java Forever DOCUMENTARY (Rubric Engineering ) I saw this one. documentary About IntelliJ IDEA that came out 5 March 2026. It’s an exciting story about how a small team started out creating a product that redefines the expectations of dev tools. In the frame are both employees of JetBrains and representatives of the industry who share their memories of how it was.
- · #SelfDevelopment
How I Write Channel Posts (Category: SelfDevelopment)
How I Write Channel Posts (Rubric SelfDevelopment ) I am asked periodically how I write so many posts and if there is any help from LLM. So I decided to write about my approach to knowledge consumption and channel management. In short, the paiplan looks something like this.
- · #AI
The third golden age of software engineering - thanks to AI, with Grady Booch (AI column)
The third golden age of software engineering - thanks to AI, with Grady Booch (Rubric AI ) Interesting. interview Gradi Booch, creator of UML and Chief Scientist for Software Engineering at IBM, on The Pragmatic Engineer podcast. Gradi and Gergely Orosz, the author of the podcast, discuss how engineering's craft changes when the level of abstraction rises again (As was the case with assembler and then high-level programming languages.).
- · #Agents
An Illustrated Guide to AI Agents (Agents column)
An Illustrated Guide to AI Agents (Rubric Agents ) While flying back from London to Moscow, I managed to read this. book I can recommend it to everyone. It is written by Jay Alammar and Maarten Grootendorst, the authors of the cool book Hands-On Large Language Models. told. The new agent book is as good as the previous one, and it’s still in the process of being written and only half the chapters have been written.
- · #Architecture
[2/2] How AWS S3 is built (Category Architecture)
\[2/2\] How AWS S3 is built (Rubric Architecture ) Continuing this snapperI would like to share the findings for engineers and tech executives.
- · #Architecture
[1/2] How AWS S3 is built (Category Architecture)
\[1/2\] How AWS S3 is built (Rubric Architecture ) Interesting. podcasting "The Pragmatic Engineer", in which Gergely Orosz communicates with Mai-Lan Tomsen Bukovec, VP of Data & Analytics at AWS, which leads the development/operation of S3. Simple Storage Service is one of the largest systems in the world, so you can learn a lot from this discussion.