• Routing around a bottleneck manager

    ๐Ÿ“‹ Monday item:

    https://omril321.monday.com/boards/3549832241/pulses/11618994982


    ๐Ÿ“Œ Speaking Up To The Boss | Crucial Learning


    ๐Ÿ”— Original article:

    https://cruciallearning.com/blog/speaking-up-to-the-boss/



    ==============



    No summary available



    ==============



    ๐ŸŽ™๏ธ Podcast instructions:


    Speak to a senior technical audience. Go deep on insights and trade-offs. Question assumptions - if something seems one-sided, say so. Highlight what's genuinely novel vs. familiar patterns. Discuss real-world implications for engineering decisions. Skip basics, but explain unfamiliar domain concepts briefly.



    Code content percentage: 0%


    Total text length: 7392 characters

    16m - May 6, 2026
  • Hidden emotion vectors drive AI behavior

    ๐Ÿ“‹ Monday item:

    https://omril321.monday.com/boards/3549832241/pulses/11727652103


    ๐Ÿ“Œ Emotion concepts and their function in a large language model


    ๐Ÿ”— Original article:

    https://www.anthropic.com/research/emotion-concepts-function



    ==============



    No summary available



    ==============



    ๐ŸŽ™๏ธ Podcast instructions:


    Speak to a senior technical audience. Go deep on insights and trade-offs. Question assumptions - if something seems one-sided, say so. Highlight what's genuinely novel vs. familiar patterns. Discuss real-world implications for engineering decisions. Skip basics, but explain unfamiliar domain concepts briefly.



    Code content percentage: 0%


    Total text length: 39681 characters

    22m - May 6, 2026
  • Why Systems Train Engineers to Stay Silent

    ๐Ÿ“‹ Monday item:

    https://omril321.monday.com/boards/3549832241/pulses/11618997160


    ๐Ÿ“Œ Why Systems Train Engineers to Stay Silent


    ๐Ÿ”— Original article:

    https://www.mckinsey.com/featured-insights/mckinsey-on-books/author-talks-the-magic-of-unmuting-yourself



    ==============



    No summary available



    ==============



    ๐ŸŽ™๏ธ Podcast instructions:


    Speak to a senior technical audience. Go deep on insights and trade-offs. Question assumptions - if something seems one-sided, say so. Highlight what's genuinely novel vs. familiar patterns. Discuss real-world implications for engineering decisions. Skip basics, but explain unfamiliar domain concepts briefly.



    Code content percentage: 0%


    Total text length: 35256 characters

    21m - May 6, 2026
  • Give your manager a bug report

    ๐Ÿ“‹ Monday item:

    https://omril321.monday.com/boards/3549832241/pulses/11618994962


    ๐Ÿ“Œ How to give your manager feedback without sounding like a jerk - Work Life by Atlassian


    ๐Ÿ”— Original article:

    https://www.atlassian.com/blog/communication/how-to-give-your-manager-feedback



    ==============



    No summary available



    ==============



    ๐ŸŽ™๏ธ Podcast instructions:


    Speak to a senior technical audience. Go deep on insights and trade-offs. Question assumptions - if something seems one-sided, say so. Highlight what's genuinely novel vs. familiar patterns. Discuss real-world implications for engineering decisions. Skip basics, but explain unfamiliar domain concepts briefly.



    Code content percentage: 0%


    Total text length: 12661 characters

    19m - Mar 28, 2026
  • Why unshared ideas cause engineer insomnia

    ๐Ÿ“‹ Monday item:

    https://omril321.monday.com/boards/3549832241/pulses/11618987312


    ๐Ÿ“Œ 2 Ways to Get Rid of Your Fear of Speaking Up at Work


    ๐Ÿ”— Original article:

    https://www.psychologytoday.com/us/blog/social-instincts/202307/2-ways-to-get-rid-of-your-fear-of-speaking-up-at-work



    ==============



    No summary available



    ==============



    ๐ŸŽ™๏ธ Podcast instructions:


    Speak to a senior technical audience. Go deep on insights and trade-offs. Question assumptions - if something seems one-sided, say so. Highlight what's genuinely novel vs. familiar patterns. Discuss real-world implications for engineering decisions. Skip basics, but explain unfamiliar domain concepts briefly.



    Code content percentage: 0%


    Total text length: 6968 characters

    16m - Mar 28, 2026
  • Safely_Merging_Meeseeks_Swarm_Code_to_Master

    Safely_Merging_Meeseeks_Swarm_Code_to_Master

    42m - Mar 27, 2026
  • Verification is the New Engineering Bottleneck

    ๐Ÿ“‹ Monday item:

    https://omril321.monday.com/boards/3549832241/pulses/11491145660


    ๐Ÿ“Œ Code Review in the Age of AI


    ๐Ÿ”— Original article:

    https://addyo.substack.com/p/code-review-in-the-age-of-ai



    ==============



    No summary available



    ==============



    ๐ŸŽ™๏ธ Podcast instructions:


    Speak to a senior technical audience. Go deep on insights and trade-offs. Question assumptions - if something seems one-sided, say so. Highlight what's genuinely novel vs. familiar patterns. Discuss real-world implications for engineering decisions. Skip basics, but explain unfamiliar domain concepts briefly.



    Code content percentage: 0%


    Total text length: 11486 characters

    18m - Mar 21, 2026
  • Stop vibe coding with annotated plans

    ๐Ÿ“‹ Monday item:

    https://omril321.monday.com/boards/3549832241/pulses/11491144966


    ๐Ÿ“Œ Boris Tane


    ๐Ÿ”— Original article:

    https://boristane.com/blog/how-i-use-claude-code/



    ==============



    No summary available



    ==============



    ๐ŸŽ™๏ธ Podcast instructions:


    Speak to a senior technical audience. Go deep on insights and trade-offs. Question assumptions - if something seems one-sided, say so. Highlight what's genuinely novel vs. familiar patterns. Discuss real-world implications for engineering decisions. Skip basics, but explain unfamiliar domain concepts briefly.



    Code content percentage: 5.557%


    Total text length: 15567 characters

    20m - Mar 21, 2026
  • WeakRef telemetry for selector memory bloat

    ๐Ÿ“‹ Monday item:

    https://omril321.monday.com/boards/3549832241/pulses/11458048523


    ๐Ÿ“Œ What Your Selectors Are Doing When You're Not Looking - monday engineering


    ๐Ÿ”— Original article:

    https://engineering.monday.com/what-your-selectors-are-doing-when-youre-not-looking/



    ==============



    No summary available



    ==============



    ๐ŸŽ™๏ธ Podcast instructions:


    Speak to a senior technical audience. Go deep on insights and trade-offs. Question assumptions - if something seems one-sided, say so. Highlight what's genuinely novel vs. familiar patterns. Discuss real-world implications for engineering decisions. Skip basics, but explain unfamiliar domain concepts briefly.



    Code content percentage: 0%


    Total text length: 8589 characters

    18m - Mar 11, 2026
  • The Death of Bare Metal Intimacy

    ๐Ÿ“‹ Monday item:

    https://omril321.monday.com/boards/3549832241/pulses/11478339550


    ๐Ÿ“Œ I Started Programming When I Was 7. I'm 50 Now, and the Thing I Loved Has Changed | James Randall


    ๐Ÿ”— Original article:

    https://www.jamesdrandall.com/posts/the_thing_i_loved_has_changed/



    ==============



    No summary available



    ==============



    ๐ŸŽ™๏ธ Podcast instructions:


    Speak to a senior technical audience. Go deep on insights and trade-offs. Question assumptions - if something seems one-sided, say so. Highlight what's genuinely novel vs. familiar patterns. Discuss real-world implications for engineering decisions. Skip basics, but explain unfamiliar domain concepts briefly.



    Code content percentage: 0%


    Total text length: 10698 characters

    16m - Mar 11, 2026
  • Why monday.com Abandoned REST For Federated GraphQL

    ๐Ÿ“‹ Monday item:

    https://omril321.monday.com/boards/3549832241/pulses/11447513701


    ๐Ÿ“Œ From API Chaos to Collaborative Graph - Making API Great Again - monday engineering


    ๐Ÿ”— Original article:

    https://engineering.monday.com/from-api-chaos-to-collaborative-graph-making-api-great-again/



    ==============



    No summary available



    ==============



    ๐ŸŽ™๏ธ Podcast instructions:


    Speak to a senior technical audience. Go deep on insights and trade-offs. Question assumptions - if something seems one-sided, say so. Highlight what's genuinely novel vs. familiar patterns. Discuss real-world implications for engineering decisions. Skip basics, but explain unfamiliar domain concepts briefly.



    Code content percentage: 0%


    Total text length: 11333 characters

    18m - Mar 6, 2026
  • Code-first AI agent evaluation at Monday.com

    ๐Ÿ“‹ Monday item:

    https://omril321.monday.com/boards/3549832241/pulses/11334982616


    ๐Ÿ“Œ monday Service + LangSmith: Building a Code-First Evaluation Strategy from Day 1


    ๐Ÿ”— Original article:

    https://blog.langchain.com/customers-monday/



    ==============



    No summary available



    ==============



    ๐ŸŽ™๏ธ Podcast instructions:


    Speak to a senior technical audience. Go deep on insights and trade-offs. Question assumptions - if something seems one-sided, say so. Highlight what's genuinely novel vs. familiar patterns. Discuss real-world implications for engineering decisions. Skip basics, but explain unfamiliar domain concepts briefly.



    Code content percentage: 4.535%


    Total text length: 16672 characters

    18m - Mar 6, 2026
  • Orchestrating Agent Teams In Claude Code

    ๐Ÿ“‹ Monday item:

    https://omril321.monday.com/boards/3549832241/pulses/11216712222


    ๐Ÿ“Œ Orchestrating Agent Teams In Claude Code


    ๐Ÿ”— Original article:

    https://code.claude.com/docs/en/agent-teams



    ==============



    No summary available



    ==============



    ๐ŸŽ™๏ธ Podcast instructions:


    Speak to a senior technical audience. Go deep on insights and trade-offs. Question assumptions - if something seems one-sided, say so. Highlight what's genuinely novel vs. familiar patterns. Discuss real-world implications for engineering decisions. Skip basics, but explain unfamiliar domain concepts briefly.



    Code content percentage: 0.28%


    Total text length: 555431 characters

    15m - Feb 8, 2026
  • Generating AI Technical Debt At Mach Speed

    ๐Ÿ“‹ Monday item:

    https://omril321.monday.com/boards/3549832241/pulses/10996729530


    ๐Ÿ“Œ Fragments: January 8


    ๐Ÿ”— Original article:

    https://martinfowler.com/fragments/2026-01-08.html



    ==============



    No summary available



    ==============



    ๐ŸŽ™๏ธ Podcast instructions:


    Speak to a senior technical audience. Go deep on insights and trade-offs. Question assumptions - if something seems one-sided, say so. Highlight what's genuinely novel vs. familiar patterns. Discuss real-world implications for engineering decisions. Skip basics, but explain unfamiliar domain concepts briefly.



    Code content percentage: 0%


    Total text length: 7836 characters

    14m - Feb 7, 2026
  • Stop Vibe Coding and Start Planning

    ๐Ÿ“‹ Monday item: https://omril321.monday.com/boards/3549832241/pulses/11194428010

    ๐Ÿ“Œ Stop Coding and Start Planning

    ๐Ÿ”— Original article: https://every.to/source-code/stop-coding-and-start-planning-be0b4fd1-5898-4b09-bfda-0b00ea0004fd


    ==============


    No summary available


    Code content percentage: 0%

    Total text length: 57999 characters

    14m - Feb 5, 2026
  • Untitled Podcast

    ๐Ÿ“‹ Monday item: https://omril321.monday.com/boards/3549832241/pulses/11132895681

    ๐Ÿ“Œ No summary available

    ๐Ÿ”— Original article: https://vercel.com/blog/agents-md-outperforms-skills-in-our-agent-evals


    ==============


    No summary available


    Code content percentage: 4.618%

    Total text length: 10372 characters

    13m - Feb 3, 2026
  • Dynamic Context Discovery: Optimizing AI Agent Context Engineering

    The provided text details dynamic context discovery, a new architectural approach by Cursor designed to improve the efficiency of AI coding agents. By shifting away from static context that floods the model with information, the system allows agents to actively pull relevant data only when needed. This method utilizes files as a primary abstraction, converting long tool responses, terminal outputs, and chat histories into searchable documents. This strategy significantly reduces token consumption and prevents the loss of critical information during automated summarization. Ultimately, these optimizations lead to higher response quality and better management of third-party tools and complex development tasks.


    ==============



    Code content percentage: 0%

    Total text length: 14358 characters

    ๐Ÿ”— Original article: https://cursor.com/blog/dynamic-context-discovery

    ๐Ÿ“‹ Monday item: https://omril321.monday.com/boards/3549832241/pulses/10932083955

    15m - Jan 13, 2026
  • Demystifying AI Agent Evaluations: A Framework for Development

    This text outlines the critical role and methodology of automated evaluations for assessing AI agents, which are notably difficult to measure due to their autonomous and multi-turn nature. The source identifies essential components of a robust system, including diverse grader typesโ€”such as code-based, model-based, and human reviewโ€”to verify both process and final outcomes. It provides tailored strategies for different agent categories, including coding, conversational, research, and computer use models, while emphasizing the need for isolated environments to ensure results are reproducible. Developers are encouraged to adopt eval-driven development early to distinguish between genuine capability improvements and accidental regressions. Ultimately, the text argues that a holistic understanding of performance requires combining automated suites with real-world production monitoring and human calibration.


    ==============



    Code content percentage: 4.08%

    Total text length: 39489 characters

    ๐Ÿ”— Original article: https://www.anthropic.com/engineering/demystifying-evals-for-ai-agents

    ๐Ÿ“‹ Monday item: https://omril321.monday.com/boards/3549832241/pulses/10971529813

    14m - Jan 13, 2026
  • The Limits of Brooks' Essential Complexity Argument

    The provided text offers a comprehensive critique of Fred Brooks' seminal 1986 essay, "No Silver Bullet," which posits a fundamental limit on programmer productivity improvements by distinguishing between essential and accidental complexity. The author argues that Brooks' claimsโ€”that most complexity is essential and thus technological advances can provide at most a factor of two improvementโ€”have been invalidated by subsequent history. Through detailed counterexamples involving modern programming tasks like large-scale log analysis and metrics querying, the text demonstrates that today's productivity gains far exceed Brooks' prediction, primarily due to advances in tooling, languages, and hardware that have dramatically reduced what was once considered unavoidable accidental complexity. Furthermore, the critique suggests that Brooks' failure to anticipate these massive productivity leaps was a result of his outdated perspective and lack of imagination, which led him to dismiss future innovations in fields like programming languages, version control, continuous integration/delivery, and artificial intelligence.


    ==============



    Code content percentage: 0%

    Total text length: 42816 characters

    ๐Ÿ”— Original article: https://danluu.com/essential-complexity/

    ๐Ÿ“‹ Monday item: https://omril321.monday.com/boards/3549832241/pulses/8942341635

    15m - Jan 6, 2026
  • Claude Code Automation: Hooks, Agents, and Workflow Systems

    This extensive Reddit post, shared by a software engineer, offers an in-depth overview of a highly optimized workflow for using Claude Code over a six-month period to complete a massive solo codebase refactoring project. The core of the system is the creation of a custom hook-based architecture that forces Claude to use its specialized "Skills," as the author found the default auto-activation unreliable. Key components include a Dev Docs system to maintain conversation context and prevent the AI from losing focus, the use of PM2 for autonomous backend debugging, and an array of custom agents and slash commands for specific tasks like quality control and planning. The writer emphasizes that success with AI coding requires significant upfront planning, consistent quality checks via automated hooks, and treating the AI as a powerful but amnesiac junior developer who needs strict guardrails and specific instructions.


    ==============



    Code content percentage: 6.851%

    Total text length: 44171 characters

    ๐Ÿ”— Original article: https://www.reddit.com/r/ClaudeAI/comments/1oivjvm/claude_code_is_a_beast_tips_from_6_months_of/

    ๐Ÿ“‹ Monday item: https://omril321.monday.com/boards/3549832241/pulses/18306252337

    17m - Jan 6, 2026
Paused
Audio Player Image
Personal Podcast
Loading...