- Pointer
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- Issue #727
Issue #727
Essential Reading For Engineering Leaders
Tuesday 23rd June’s issue is presented by Unblocked
Unblocked turns code, docs, tickets, and conversations into actionable context, so engineers move faster and agents stay on track.
— Andi Roberts
tl;dr: “What separates the leaders who create momentum from those who spend their time managing friction is rarely authority or technical expertise. It is network. Not the size of it. The quality, the positioning, and the deliberate investment that went into building it before it was needed.”
Leadership Management CareerGrowth
— Jason Cohen
tl;dr: “RICE and other confidence-based frameworks are mostly noise. Here’s how to make decisions without pretending to know the unknowable.”
DecisionMaking Product Estimation
tl;dr: AI is in your engineering workflow. While the token spend shows it, the throughput doesn't. The human is very much still in the loop, and that's a context problem. This free webinar maps the 8 levels of context maturity: where most teams are stuck, what the ceiling looks like at each stage, and what it actually takes to make the most out of your agents. Join live June 24 (FREE).
Promoted by Unblocked
Agents AI Events
— Yew Jin Lim
tl;dr: “These lessons came through trial, error, and observing countless brilliant people. Simple doesn’t mean easy, and knowing doesn’t mean doing. Youth, as they say, is wasted on the young.”
CareerGrowth
“We have to fight chaos, and the most effective way of doing that is to prevent its emergence.”
— Norberto Lopes
tl;dr: “There’s a lot of buzz that AI means companies only want seniors now. That there’s no room left for early career engineers. I don’t think that’s true. The thing actually worth worrying about isn’t whether you’ll get hired, it’s whether you keep learning in a world of AI, now that it removes the friction where that learning used to happen. And that, thankfully, is a choice you get to make.”
AI CareerGrowth
— Paul Vatterott
tl;dr: Your internal MCP server can give LLMs access to everything by default, with no auth layer to stop them. This post shows how to lock it down with roles, granular scopes, and Enterprise SSO so employees and their AI assistants only reach the data they're cleared for.
Promoted by PropelAuth
AI Security
— Sarang Kulkarni
tl;dr: “In this post, we share that journey — how Bayer's early investment in generative AI has resulted in PRINCE, an agentic AI system built on Agentic RAG. This case study explores the technical architecture, engineering decisions, and lessons learned in transforming preclinical data retrieval from a challenging maze into an intuitive conversational experience.”
CaseStudy AI Agents
— Ruurtjan Pul
tl;dr: “There are a ton of sites that offer this (growing faster than ever thanks to vibe coding), so I need a way to stand out. I picked tool quality / usefulness and UX. The autocomplete is the main way to navigate Wirewiki, so it should be as complete, accurate and fast as possible. I want it to be instant. Like, next frame instant.”
SystemDesign DeepDive Performance
— Murat Demirbas
tl;dr: “In 1957, Parkinson postulated his "Law of Triviality" using a fictitious committee reviewing plans for a nuclear power plant. The reactor design gets 10 minutes because nobody understands it, so nobody argues. The bike shed gets 45 minutes because everyone has opinions about the paint color. I feel like we are living this committee meeting at scale every day.”
IndustryTrends
Editorial Note
The Untrainable, by investor Sarah Guo, suggests that a company’s value has shifted to the “untrainable.” Intelligence is (becoming) ubiquitous, cheap and “anything measurable is already on its way to commodity.” We have to look at other factors.
In a recent MIT study, coding agents “lifted how much code got written” by 180% yet shipped code by 30%. People, process and workflows are complex systems that need to shift as well. That’s complicated. As engineering leaders, AI is not the magic bullet solution to ship more, it’s part of a complicated system. And the work that matters the most is the work hardest to measure - e.g. changing how a team builds, setting the standard for your team, having hard conversations.
Most Popular From Last Issue
Revised Rules Of Engineering Leadership - Will Larson
Notable Links
Eve: Filesystem-first framework for agents.
Lore: NextGen OS version control.
OpenMontage: OS agentic video production system.
Tabularis: OS desktop SQL workspace with MCP.
Voicebox: OS AI voice studio.
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