Map for Engineers Podcast

About Map for Engineers Podcast

Creating a map of knowledge and tools for software engineers. log.mapforengineers.com (https://log.mapforengineers.com?utm_medium=podcast)

Publisher

Vitalii Lakusta

Category

science · technology

Language

en

Explicit

No

First episode

15 Sept 2024

Latest episode

21 May 2026

Latest episodes

1 of 12 episodes have a transcript.

1. 

   21 May 2026

   Dario Hamidi from Amp: AI Engineering Frontier | Ep. 11

   Dario from Amp and I sit together to explore what comes after the "coding agent" era — verifiability as the new bottleneck, rethinking the testing pyramid, persistent dev environments in the cloud, stateful actors, single-tenant deployments, and the future of product interfaces in a world of agents.If you are building serious production-grade software with agents and trying to make sense of where engineering is heading, this is the podcast you might want to listen to.Chapters:00:00 (https://www.youtube.com/watch?v=e7nTHBhYhI0) Introduction03:39 (https://www.youtube.com/watch?v=e7nTHBhYhI0&t=219s) "The Coding Agent is Dead": AMP's Vision09:45 (https://www.youtube.com/watch?v=e7nTHBhYhI0&t=585s) Instant Inference & Verifiability as the New Bottleneck16:22 (https://www.youtube.com/watch?v=e7nTHBhYhI0&t=982s) Rethinking the Testing Pyramid for Agents25:02 (https://www.youtube.com/watch?v=e7nTHBhYhI0&t=1502s) TDD Renaissance & Parse, Don't Validate Principle35:43 (https://www.youtube.com/watch?v=e7nTHBhYhI0&t=2143s) What Agents Need: Sandboxes & Permissions41:50 (https://www.youtube.com/watch?v=e7nTHBhYhI0&t=2510s) Dev Laptops in the Cloud: Tailscale, Fly Sprites, Exe.dev46:54 (https://www.youtube.com/watch?v=e7nTHBhYhI0&t=2814s) Stateful Actors, Durable Objects & Erlang's Legacy53:36 (https://www.youtube.com/watch?v=e7nTHBhYhI0&t=3216s) Monorepo vs Microservices & Single-Tenant Deployments1:05:55 (https://www.youtube.com/watch?v=e7nTHBhYhI0&t=3955s) Build vs Buy: Copying Software & Interface Design1:16:41 (https://www.youtube.com/watch?v=e7nTHBhYhI0&t=4601s) Bun vs Nodejs, Personal AI Agents & The Future of Interfaces1:32:04 (https://www.youtube.com/watch?v=e7nTHBhYhI0&t=5524s) CLI vs MCP, Engineering Skills & the End of Coding as a BottleneckAs always, thanks for listening to MapForEngineers! Sincerely your host, Vitalii Lakusta This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit log.mapforengineers.com (https://log.mapforengineers.com?utm_medium=podcast&utm_campaign=CTA_1)

2. 

   27 Mar 2026

   Anton Keks: Software Engineering 2.0, AI Edition | Ep. 10

   With AI, great product engineering is relevant more than ever. Anton Keks and I sit together again to explore the real question: what does it mean to be an engineer now, in today's AI world?In this round 2 conversation, we talk about the shift from coding to thinking — from generating output to making decisions. Because AI doesn’t remove the need for engineering fundamentals; it amplifies the cost of not having them.We cover what AI engineering actually looks like in practice: how to use these tools without losing control, how to avoid shallow understanding, and why system design, feedback loops, and clean abstractions matter more than ever.We delved deep into discussing pair and pair-programming practices in the age of AI, and how engineers can collaborate with each other to avoid knowledge silos. We also get into the operational side — CI/CD, security, engineering workflows, and building systems that scale and survive.If you’re leading teams or writing production code in 2026, this is the podcast you might be interested to listen to. 00:00 (https://www.youtube.com/watch?v=TEYwFaPAt9Q) Intro & What This “Round 2” Is About00:10:55 (https://www.youtube.com/watch?v=TEYwFaPAt9Q&t=655s) Blind Execution vs Real Understanding in Engineering00:21:50 (https://www.youtube.com/watch?v=TEYwFaPAt9Q&t=1310s) Why Core Engineering Skills Never Go Away00:32:45 (https://www.youtube.com/watch?v=TEYwFaPAt9Q&t=1965s) Avoiding Knowledge Silos in Teams00:43:40 (https://www.youtube.com/watch?v=TEYwFaPAt9Q&t=2620s) Team Culture, Demos & Feedback Loops00:54:35 (https://www.youtube.com/watch?v=TEYwFaPAt9Q&t=3275s) Reducing Boilerplate & Writing Cleaner Code01:05:30 (https://www.youtube.com/watch?v=TEYwFaPAt9Q&t=3930s) Productivity Tradeoffs & Time Optimization01:16:25 (https://www.youtube.com/watch?v=TEYwFaPAt9Q&t=4585s) Using AI Effectively as an Engineer01:27:20 (https://www.youtube.com/watch?v=TEYwFaPAt9Q&t=5240s) CI/CD, Automation & Developer Workflows01:38:15 (https://www.youtube.com/watch?v=TEYwFaPAt9Q&t=5895s) Security, Vulnerabilities & Real Risks01:49:10 (https://www.youtube.com/watch?v=TEYwFaPAt9Q&t=6550s) Building Systems That Last for Years02:00:05 (https://www.youtube.com/watch?v=TEYwFaPAt9Q&t=7205s) Scaling Systems & Working with SubdomainsThanks for listening. Feel free to subscribe on YouTube or on MapForEngineers.com substack. See you next time. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit log.mapforengineers.com (https://log.mapforengineers.com?utm_medium=podcast&utm_campaign=CTA_1)

3. 

   15 Aug 2025

   On Product Engineering from Alvar, early Wiser | Ep. 9 with Alvar Lumberg

   Alvar Lumberg needs no introduction in Estonia in startup circles: Alvar is a seasoned engineering leader who built Wise from the early days, then founded Grünfin, and now is transforming investing at Lightyear. We chatted with Alvar on his engineering journey, and discussed ideas on product engineering, building startups, and building great teams. Here is what we talked about: 00:00:00 - Intro 00:00:05 - Welcome & Guest Introduction 00:00:33 - Alvar's Early Exposure to Computers and Coding 00:03:38 - First Steps into the Tech Industry 00:05:05 - Growth and Learning at Hansa Bank (now Swedbank) 00:06:13 - The Codeborn Experience and the Shift to Product Focus 00:08:03 - Joining the Startup World with TransferWise 00:10:00 - Evolution of Roles and Responsibilities at Wise 00:12:16 - Founding Grünfin: Mission and Challenges 00:13:20 - Comparing Different Work Environments: Bank, Contracting, Startup 00:19:51 - Key Skills for Startup Engineers 00:24:45 - Ensuring Quality in a FinTech Startup 00:35:24 - The Role of Test-Driven Development (TDD) 00:41:49 - Philosophy on Engineering Leadership 00:47:15 - Building a Team: The Importance of Composition 00:50:50 - Lessons Learned from the Grünfin Journey 00:56:57 - Why Alvar Joined Lightyear 00:59:58 - Engineering Challenges at Lightyear 01:02:44 - The Future of Engineering with LLMs 01:11:53 - Recommended Reading and Resources Thanks for tuning in on Map for Engineers! Feel free to subscribe: no spamming, and only high-quality content This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit log.mapforengineers.com (https://log.mapforengineers.com?utm_medium=podcast&utm_campaign=CTA_1)

4. 

   12 Aug 2025

   On Design | Ep. 8 with Janne Kaasalainen

   In this episode, we sit down with veteran designer Janne Kaasalainen for an in-depth discussion on the art and science of UX design. 00:00:05 - Intro 00:00:35 - Janne's introduction 00:01:12 - Janne's career start and moving to UX 00:03:37 - Pivotal moments in Janne's career 00:06:40 - Misconceptions about design and UX 00:12:20 - How should engineers, designers, and PMs collaborate? 00:21:54 - Working effectively with designers 00:28:42 - What other UX misunderstandings do people have? 00:31:07 - How does a company align on what is "good"? 00:44:18 - How to align on design principles and values in a growing startup? 00:53:52 - How to make a good UX in a product? 01:00:42 - How to become better at UX and design? 01:07:02 - How will design and UX evolve in the next 10 years? And if you want to work with Janne and me, we are hiring in Pactum - https://pactum.com/careers For more episodes, feel free to subscribe here in YouTube, or check MapForEngineers.com, thank you! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit log.mapforengineers.com (https://log.mapforengineers.com?utm_medium=podcast&utm_campaign=CTA_1)

5. 

   1 Aug 2025

   AI Agents for Software Engineers. Claude Code Deep Dive | Ep. 7 with Carl Rannaberg

   Carl and I talked deeply about CLI-based AI agents, specifically Claude Code, how CLI AI agents are more composable than IDE-based agents like Cursor, spec-driven development, making codebases agent-native, and, last but not least, which skills should we hone as software engineers, because our profession is not going anywhere, but we need to adapt. Super interesting conversation, hope you enjoy! Oh, and if you want to work together with Carl and me, we are hiring in Pactum, feel free to check out https://pactum.com/careers/ (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbjBmaWh1MjZqQWRkc2s4QUotUlZBdmx2QUZuZ3xBQ3Jtc0trQlpCeXR4cEFFb0VxdnV2ODNfSTd6NGg4M0laaWIzRlJObWJLUFQ2MVEwbUxKV1JwaVctMFEwOE9uaWU2ZU5aUGg4a3NiNjhySEdrN0VOMmRLa1Q0TnFYaDVBTEZmZ1ZPUGpmNFZmT0p3NEZ2WnhzRQ&q=https%3A%2F%2Fpactum.com%2Fcareers%2F&v=CpSdv3k8-64) 00:00:00 Introduction & Current Coding Workflow 00:10:40 Junior vs Senior Engineers with AI 00:27:21 Spec-Driven Development & Tasks 00:46:31 CLI Agents vs IDE Tools (Cursor) 00:52:13 MCP vs CLI Tools & Composability 00:57:20 Claude Code Features: Slash Commands & Hooks 01:12:32 Making Codebases Agent-Native 01:31:40 AI Adoption in Organizations 01:44:16 CI/CD Pipelines & AI Automation Thanks for listening! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit log.mapforengineers.com (https://log.mapforengineers.com?utm_medium=podcast&utm_campaign=CTA_1)

6. 

   16 Feb 2025

   Dmytro Hnatiuk: Scaling Journey of Finance Engineering in Wise | Ep. 6

   I really enjoyed this discussion. I hope you find some useful bits for yourself as well. Chapters are manually annotated by me for you to be able to navigate and jump around. Thanks for listening to Map for Engineers! 00:00:00 - Start 00:01:01 - Dmytro's background 00:13:50 - Early days of finance team in Wise 00:19:36 - Becoming lead in the finance team 00:21:19 - Squad o fteams, tribe of squads: splitting finance into subdomains 00:27:42 - Conway law: team splits reflecting architecture 00:32:56 - Event-driven architecture 00:34:51 - Context on what finance team is doing 00:36:06 - Batch approach vs real-time financials 00:39:56 - Error handling, dead letter queues 00:41:44 - Observability: Prometheus, Grafana, in-house tools 00:49:32 - Assembling the right team: finding people who care 00:52:42 - DB Skills. Postgres. Modularization. Couplings 00:57:24 - Staff+ engineering path 01:03:32 - Engineering principles in finance. Compliance, auditing 01:09:22 - Learning domain where you work 01:11:31 - Testing in finance 01:27:00 - Growing in your career: find your path, learn what interests you This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit log.mapforengineers.com (https://log.mapforengineers.com?utm_medium=podcast&utm_campaign=CTA_1)

7. 

   4 Nov 2024

   Anton Keks: Problems in Software Engineering - PRs, Microservices, Testing, Refactoring | Ep. 5

   Anton, co-founder of Codeborne, and I sit together to discuss some of the problems in software engineering - pull requests, microservices, testing, refactoring. Check out annotated chapters below for more details. 00:00:00 Intro 00:00:00 Sneak peek 00:00:49 Episode overview 00:04:28 Anton's intro, background 00:06:37 Anton founded Codeborne: TDD and pair programming: following extreme programming principles 00:08:57 Agile is about short feedback loops 00:12:09 Under-engineering vs over-engineering 00:15:29 Tech debt and testing: engineers don't handle tech debt well enough 00:17:45 Lack of refactoring is a big problem 00:18:14 Problems with pull requests 00:27:00 Problems with squash merge 00:27:30 Good commit messages are essential 00:31:09 Good code is easy to change 00:34:34 Pair programming is continuous code review 00:36:11 Daily code review with a whole team 00:48:44 Microservices: be careful 00:59:23 Book recommendations from Anton 01:00:38 Wrap up This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit log.mapforengineers.com (https://log.mapforengineers.com?utm_medium=podcast&utm_campaign=CTA_1)

8. 

   20 Oct 2024TRANSCRIPT

   Lauri Koobas: Data Engineering - from early startup to scaling | Ep. 4

   Lauri Koobas, ex-Microsoft and currently Head of Data Platform at Bondora, shed insights on data engineering - from early startup to scaling. We mostly focused on analytics and building data warehouse - real-world challenges from both data engineering and software engineering sides. We also discussed GDPR and PII challenges when dealing with data. You can find video version on MapForEngineers YouTube channel: https://www.youtube.com/@mapforengineers (https://www.youtube.com/@mapforengineers) Annotated chapters in timeline: 00:00:00 Sneak peek of episode 00:01:21 Episode overview 00:02:44 Introduction, Lauri's background 00:20:48 Starship robots: huge amount of data there 00:23:37 Data lake, data warehouse, data lakehouse 00:26:44 Devil is in the details: timestamps, texts, character sets... 00:49:44 Moving data from prod to data warehouse 00:53:09 Analytics tools: PostHog, Amplitude, Redash, Databricks 01:00:15 Analytics tools vs real-time monitoring like Prometheus/Grafana 01:04:15 Usability matters: each tool for its job 01:06:38 Startup grows: needs in data analytics 01:11:09 Multiple data sources: when data warehouse really begins 01:19:55 Data and (de-)coupling: software engineers should not be blocked by analytics 01:22:51 Data ETL 01:24:59 Changes in data model: multi-phase migrations 01:29:38 Change data capture, incremental imports 01:34:21 Should analytics have new data in real time? Maybe not? 01:39:02 Importing data into DWH through business events 01:43:37 When DWH subscribes to business events, data model can evolve freely 01:47:16 Quick recap what we discussed so far 01:52:25 GDPR and Data Compliance: start early 01:56:05 PII data: know exactly where you store it, control it well 02:03:37 Lauri's books recommendations on data engineering - Kimball 02:07:18 Lauri's podcast on data engineering, in Estonian 02:08:28 Wrap up This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit log.mapforengineers.com (https://log.mapforengineers.com?utm_medium=podcast&utm_campaign=CTA_1)

9. 

   4 Oct 2024

   Carl Rannaberg: Latest AI Tools in Software Development | Ep. 3

   Carl, staff software engineer at Pactum, shed light on some of the latest AI tools in software development. We discussed v0.dev (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqazVxR3lkMXc2UjUwRnpnMk5hZk4yYi1GRmQ1QXxBQ3Jtc0tsMzVFWDFsMEhDeVJjcU9ORmkzTWpweUFNSmw3WHRQN1hMMlJ3VGxuYWF2dzVTVnQyRVJVdHRVb2pDME9SMlJRbEpZa3lXR2tRNWxlRnYxOFgzck9NaFRBMzlFSlRNYlA1MEl2QzlRdEdnQ29UWE5FNA&q=https%3A%2F%2FMapForEngineers.com%2F&v=S09iueiOBVo), continue.dev (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqazVxR3lkMXc2UjUwRnpnMk5hZk4yYi1GRmQ1QXxBQ3Jtc0tsMzVFWDFsMEhDeVJjcU9ORmkzTWpweUFNSmw3WHRQN1hMMlJ3VGxuYWF2dzVTVnQyRVJVdHRVb2pDME9SMlJRbEpZa3lXR2tRNWxlRnYxOFgzck9NaFRBMzlFSlRNYlA1MEl2QzlRdEdnQ29UWE5FNA&q=https%3A%2F%2FMapForEngineers.com%2F&v=S09iueiOBVo), ollama, and much more! It was an episode with a lot of useful information and insights! To check all content on Map For Engineers including blog posts, feel free to subscribe on https://MapForEngineers.com (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqazVxR3lkMXc2UjUwRnpnMk5hZk4yYi1GRmQ1QXxBQ3Jtc0tsMzVFWDFsMEhDeVJjcU9ORmkzTWpweUFNSmw3WHRQN1hMMlJ3VGxuYWF2dzVTVnQyRVJVdHRVb2pDME9SMlJRbEpZa3lXR2tRNWxlRnYxOFgzck9NaFRBMzlFSlRNYlA1MEl2QzlRdEdnQ29UWE5FNA&q=https%3A%2F%2FMapForEngineers.com%2F&v=S09iueiOBVo) Annotated chapters in timeline on topics that Carl and I covered: 00:00:00 - Start 00:04:05 - Small talk, getting into the groove 00:08:18 - Carl's background: ex-Pipedrive, now engineer in Pactum 00:19:44 - Early tools: simple autocomplete and simple prompting without context 00:27:11 - AI tools with context: Cursor IDE, Continue.dev 00:43:35 - Cursor IDE Composer - Prompt+Apply to Code Instantly 00:47:29 - Ollama - following docker philosophy 00:55:15 - V0.dev - LLM to create frontend components 00:59:27 - Cursor IDE + v0.dev combination as a workflow 01:02:23 - Claude 3.5 Sonnet 01:03:10 - OpenAI o1 01:04:56 - LLMs vs SQL Queries - still to be solved 01:08:17 - LLM in TDD and Testing Workflows 01:16:04 - Focus on engineering fundamentals - LLM does not replace your engineering fundamental knowledge 01:20:13 - Book recommendations 01:29:09 - Hosting models yourself - expensive 01:33:27 - Fine-tuning models 01:35:33 - RAG 01:49:50 - Chain of thought 01:51:46 - vyce.app - GenAI helping with compliance questions 01:54:25 - Summary of tools we covered so far 01:58:43 - GenAI vs engineering careers 02:05:39 - Wrap up with Carl This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit log.mapforengineers.com (https://log.mapforengineers.com?utm_medium=podcast&utm_campaign=CTA_1)

10. 

    29 Sept 2024

    Joel Mislav Kunst: Engineering Career and Growth | Ep. 2

    I had a pleasure to chat with my friend Joel Mislav Kunst, who is Engineering Manager at Microsoft. We talked about growth in engineering. Some of the topics that we touched upon, with timeline timestamps are: 00:00:00 - Glimpse of episode 00:01:16 - Quick episode overview 00:05:18 - Joel's journey in software engineering 00:14:55 - Focus on engineering fundamentals 00:23:34 - Learning from all hard experiences: solving root causes 00:31:05 - Relationship between engineer and their manager 00:53:03 - Manager is not your punching bag for complaining: propose initiatives instead, be active 01:10:55 - Engineer vs manager: fork in career 01:29:17 - Generative AI in context of engineering career/growth 01:36:01 - Teaching is essential for growth. Seniors teaching juniors. Knowlede sharing 01:43:14 - Wrap up To get notified of new episodes and blog posts, subscribe at MapForEngineers.com For Youtube video version of the episode, check https://www.youtube.com/@mapforengineers (https://www.youtube.com/@mapforengineers) This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit log.mapforengineers.com (https://log.mapforengineers.com?utm_medium=podcast&utm_campaign=CTA_1)

11. 

    25 Sept 2024

    Ürgo Ringo: Product Engineering | Ep. 1

    Ürgo, ex-Wise, joined Wise.com (http://Wise.com) as one of the first 12 engineers or so. As former colleagues from Wise, we had a great chat about product engineering, domain-driven design, and team collaboration. I will give a short summary of key takeaways that I got from this valuable discussion with Ürgo. 1. Work in agency is different from work in a product company Work in agency (outsource) vs product company is different for an engineer. In agency, you get a lot of experience with different projects, but you don’t own a product or its outcomes. In contract, in a product company, engineers should care about the end product, getting the feedback from users and customers. Responsibilities and impact are on the next level for an engineer in a product company, that you don’t get in a project-based work in an agency. 2. Knowledge sharing inside a team. Avoid knowledge silos It’s important to avoid pockets of knowledge in a team, where sub-groups form, because then it’s hard to have a cohesive team. There are many tools to avoid it, for example: * Pair programming * Deliberately rotating knowledge among people * Working in pairs (not necessarily pair programming, but just solving some problem together) on a topic for a short time (e.g. a week or two). But then switching pairs and topics, to avoid knowledge silos. * I wrote in detail about some practices that I employ in Pactum to avoid knowledge silos in the team in the article Values, Principles and Practices in Engineering Team (https://pactum.substack.com/p/values-principles-practices). 3. Product engineering begins where the comfort of the coding ends Ürgo wrote amazing article about this topic, called Product Engineer, available in his Medium (https://medium.com/inbank-product-and-engineering/product-engineer-940cf36f3c76). Product engineers need to establish frequent feedback loops to get signal from users on the usefulness of what they delivered. This is essential for closing the feedback loop. Once you get learnings, you repeat the process: Learn → Build → Ship → Learn → …[repeat] 4. Domain-Driven Design: Metaphors are important Coming up with metaphors when modelling software is very important. When you come up with a good metaphor, try to embed it into your ubiquitous language (https://martinfowler.com/bliki/UbiquitousLanguage.html). 5. GenAI in Software Engineering GenAI won’t replace product engineers for a while. In fact, product engineering becomes even more essential than just coding. Coding is just a tool, a means to an end. Product engineering skills will be ever so valuable - to understand which product to build, to iterate, to learn from your users and customers, to be creative. Product engineers will leverage GenAI tools to automate non-interesting tasks (e.g. creating this next frontend component, if it can be automated quickly). --- And that’s a wrap! I will be recording new episodes soon. Feel free to subscribe if you found it valuable. Also, recording quality in the next episode will be better. For all the content, visit MapForEngineers.com This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit log.mapforengineers.com (https://log.mapforengineers.com?utm_medium=podcast&utm_campaign=CTA_1)

12. 

    15 Sept 2024

    Welcome to Map for Engineers Podcast

    I am starting a Map for Engineers Podcast! I am in the process of organizing a first episode with my guest, which will be live-streamed on YouTube :) Will announce more details soon. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit log.mapforengineers.com (https://log.mapforengineers.com?utm_medium=podcast&utm_campaign=CTA_1)

Inside a recent episode

Lauri Koobas: Data Engineering - from early startup to scaling | Ep. 4

Published 20 Oct 2024 · Transcript excerpt

[…] Oh, yeah. Which is very small grain, not a lot of information in there. But it encapsulates like a very, very small event. Yes. And on the very other end days, let's say, revenue of previous year, which is like a very large grain that, yeah, let's say aggregated data. Yeah, like massively aggregated data. Yeah. I follow. The same is with problems. We can talk about data engineering and software engineering on very different granularities. So, one is like specific techniques and data types. It's very small grain. And the other is how to build a large organization into a huge organization in terms of software engineering or data engineering, for example. […]

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Podcast Authority Score: 41 / 100

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