153 articles in Leadership
Why investing in developer experience yields outsized returns, and how to measure and improve the daily friction that slows engineering teams down.
An overview of SRE principles from Google, including error budgets, service level objectives, toil reduction, and the philosophy of treating operations as a software problem.
How to build platform teams that accelerate product teams instead of slowing them down, with guidance on APIs, self-service, documentation, and measuring platform success.
What it means to be a staff-plus engineer, how the role differs from management, and the skills needed to have organizational impact through technical leadership.
How to apply open source development practices within an organization to improve collaboration, code reuse, and knowledge sharing across team boundaries.
The cultural principles behind DevOps — shared ownership, breaking silos, and blameless collaboration — and how they transform software delivery performance.
Why traditional whiteboard coding interviews fail to predict job performance, and alternative approaches that better assess engineering ability and team fit.
How to build on-call rotations that are sustainable, fair, and effective — covering compensation, escalation policies, alert quality, and preventing burnout.
How to measure engineering team performance without destroying morale — focusing on system-level metrics, delivery performance, and developer satisfaction rather than individual output.
The Stoic philosophy of Marcus Aurelius offers a practical framework for leadership under uncertainty. By focusing on what we can control, practicing negative visualization, and cultivating equanimity, leaders can make better decisions under pressure. This article distills the key Stoic practices from Meditations and maps them to contemporary executive challenges including crisis management, stakeholder conflict, and emotional regulation.
Seneca's essay On Anger, written nearly two thousand years ago, contains remarkably modern insights about emotional regulation in professional settings. This article explores Seneca's three-stage model for managing anger — delay, reframe, and release — and applies it to common workplace triggers such as unfair feedback, political maneuvering, and project failures. It also examines the Stoic concept of the 'view from above' as a technique for maintaining perspective during heated moments.
Research from neuroscience and organizational behavior converges on a clear finding: sleep is the single most important factor in cognitive performance. This article reviews the evidence on how sleep deprivation impairs decision-making, creativity, and emotional regulation. It covers sleep architecture, circadian rhythms, and the business case against hustle culture. Practical guidance includes sleep hygiene protocols, the strategic use of naps, and how organizations can design policies that support healthy sleep.
A growing body of research demonstrates that regular physical exercise improves executive function, working memory, and creative problem-solving — the very capacities leaders need most. This article reviews studies linking aerobic exercise to neuroplasticity and BDNF production, strength training to confidence and stress resilience, and even walking meetings to better collaboration. It provides evidence-based exercise prescriptions for busy professionals and argues that physical fitness should be viewed as a core leadership competency.
Not all stress is created equal. This article distinguishes between chronic distress (which degrades performance) and eustress (which fuels growth), drawing on the Yerkes-Dodson law and modern resilience research. It presents a toolkit for high-performers including box breathing, cognitive reappraisal, progressive muscle relaxation, and time-blocking for recovery. The article also covers organizational approaches to stress — psychological safety, workload management, and the importance of micro-recoveries throughout the workday.
Writing is not merely the transcription of pre-formed thoughts — it is the very process by which thinking becomes clear. This article draws on research from cognitive science and the practices of great thinkers from Darwin to Bezos to argue that regular writing sharpens reasoning, surfaces hidden assumptions, and improves communication. It covers practical writing habits including morning pages, decision journals, and Amazon-style six-page memos, with guidance on making writing a daily professional practice.
As algorithms increasingly make decisions about hiring, lending, criminal justice, and healthcare, the question of fairness becomes urgent. This article introduces the key concepts of algorithmic fairness: different mathematical definitions of fairness (demographic parity, equalized odds, individual fairness), why they are often mutually incompatible, and the sources of bias in training data and model design. It provides a practical framework for fairness audits, bias mitigation techniques, and the organizational processes needed to embed fairness considerations into the ML development lifecycle.
Mental models are simplified representations of how the world works, and building a latticework of them is the key to consistently good decision-making. This article catalogs the most powerful mental models across disciplines: inversion from mathematics, second-order thinking from physics, circle of competence from investing, and map-territory distinction from philosophy. For each model, it provides concrete examples of application in business contexts and guidance on when each model is most useful.
Cal Newport's concept of deep work — cognitively demanding tasks performed in a state of distraction-free concentration — has become essential in knowledge work. This article explores the neuroscience behind deep work (myelination, flow states, attention residue), the economic argument (deep work produces disproportionate value in a shallow world), and practical implementation strategies: time-blocking, the shutdown ritual, digital minimalism, and the craftsman approach to tool selection. It also addresses organizational barriers to deep work and how managers can create environments that protect focused time.
From GDPR in Europe to China's algorithmic regulation to US antitrust actions, the global regulatory landscape for technology is evolving rapidly. This article provides a comprehensive overview of the major regulatory frameworks affecting technology companies: data protection and privacy laws, content moderation requirements, competition and antitrust enforcement, AI-specific regulation, and digital taxation. For each area, it explains the policy rationale, key provisions, and practical implications for product and engineering teams. It argues that proactive compliance is not just legal necessity but competitive advantage.
How Amazon's organizational philosophy of small, autonomous teams led by single-threaded leaders enables speed and ownership at massive scale.