A senior Google engineer shares 21 non-technical lessons on thriving in a tech career, focusing on user obsession, collaboration, and execution.
![[journal] 2025 in Review: Professional](https://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/alldevblogs/thumbs/article-4f855d78fe50-full-5da01021.webp)
A software engineer reflects on their 2025 professional journey, focusing on joining a startup, scaling codebases, and personal project development.
Explores how AI language models shift a programmer's role from writing code to managing context and providing detailed specifications.
A software engineer shares insights on leaving AWS for Anthropic, discussing career motivations, AI innovation, and answering common questions from colleagues.
![[journal] 2025 in Review: Public Speaking](https://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/alldevblogs/thumbs/article-73134dbbf5c6-full-d067037b.webp)
A developer's 2025 review focusing on a single keynote talk about open source infrastructure, and lessons learned about preparing invited vs. pitched talks.
A guide for engineers on when to challenge technical decisions and when to accept and support them for team cohesion.
A software engineer shares practical strategies for effectively using AI coding agents like Claude Code, emphasizing setup and feedback loops.
Explores practical uses of AI as a 'force multiplier' for software engineers, focusing on prototyping, offloading cognitive load, and first-pass reviews.
![[notes] Some of Us Actually Like Coding](https://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/alldevblogs/thumbs/article-2d50f68bf2fa-full-8b7d93d2.webp)
A software engineer's perspective on enjoying coding amidst the rise of AI coding agents, arguing for the value of hands-on programming.
Explores why unit tests sometimes pass unexpectedly, focusing on tautological assertions and the discipline required for effective test-driven development.
A developer shares key engineering lessons learned from building AI agents in .NET, focusing on state management, orchestration, and observability.
A personal recap of attending and volunteering at the DevFestMN 2025 tech conference, covering talks on Web AI and hiring in the AI era.
The article argues that the 'software crisis' of the 1960s never truly ended but evolved from unpredictability into a modern crisis of overwhelming complexity.
Senior engineers struggle with AI agent development due to ingrained deterministic habits, contrasting with the probabilistic nature of agent engineering.
A critique of how 'observability' has been misunderstood and misapplied in the tech industry, arguing it's become a meaningless buzzword.
A senior engineer explains what hiring managers look for in a tech resume: clear demonstration of increasing scope and impact over fancy titles.
A tech startup in Mongolia translated the author's software engineering book, leading to a visit and insights into the local tech scene.
A developer reflects on the impact of AI-generated code on small, educational open-source libraries like his popular blob-util npm package.
An experienced engineer shares lessons from writing and self-publishing a bestselling tech book after a 4-year journey, including pitching to publishers.
An author shares lessons from writing and self-publishing a successful software engineering book after a four-year journey, including pitching to publishers.
