The Journal
The notes I would have wanted at fifteen.
Long-form notes on shipping production systems, scaling SaaS, hiring engineers, AI integration, and the engineering decisions behind Yashveer Labs — written by founder Yashveer Singh.
The Engineering Org Chart at 5, 25, and 100 Engineers
The engineering org chart is not a static document. It is the current answer to the question of how the team coordinates work, makes decisions, and grows. The structure that works at five engineers creates coordination problems at twenty five. The structure at twenty five engineers creates silos at one hundred. Understanding these inflection points in advance prevents the chaos that comes from outgrowing the current structure without noticing it is happening.
Startup Technical StrategyThe Engineering Onboarding That New Hires Love
Engineering onboarding is the process of getting a new engineer from first day to independent productivity. The onboarding that new hires love is one where they understand the product, the codebase, the team's practices, and the context for their work within the first two weeks, and have made a real contribution before the end of the first month. Most engineering onboarding fails on the context side: the new hire can set up their environment but does not understand why the system is built the way it is.
Startup Technical StrategyThe VP Engineering Hire: What Founders Get Wrong
The VP of Engineering hire is the decision to bring in a leader who will own the execution of the engineering organization while the founder shifts to strategy, product, and company direction. The hire fails most often when the founder hires too early, hires an archetype suited for a different stage, or does not transfer authority in a way the engineering team can follow. The right hire at the right moment is a multiplier. The wrong hire at the wrong moment sets the engineering team back by a year.
Startup Technical StrategyThe First Director of Engineering: A Decision Framework
The Director of Engineering role sits between the engineering manager (who manages a team) and the VP of Engineering (who owns the entire engineering function). At a startup, the first Director of Engineering is often a sign that the engineering organization has grown large enough to require a layer of management between the frontline managers and the engineering leader. Getting this hire right accelerates the engineering team's scaling. Getting it wrong creates a management layer that slows decisions without adding value.
Startup Technical StrategyThe First Engineering Manager: When and How to Hire
The first engineering manager hire changes the fundamental structure of the engineering team. Before the hire, the founder or CTO is the primary interface for all engineers. After the hire, one or more engineers report to a manager who is responsible for their development, their performance, and their day to day direction. The timing of this hire and the selection of the person are two of the most consequential engineering leadership decisions in a startup's first two years.
Startup Technical StrategyThe Internal Tooling Roadmap: Why It Matters As Much As the Product Roadmap
The internal tooling roadmap is the explicit plan for the tools the engineering team builds or buys to support business operations: customer support interfaces, admin panels, reporting dashboards, automation workflows, and monitoring systems. Without a roadmap, internal tooling accumulates as undocumented side projects that break at inconvenient times and block operations when the original author leaves. A roadmap treats internal tooling as core engineering work with ownership, prioritization, and maintenance planning.
Startup Technical StrategyThe Engineering Operations Team: When You Need One
An engineering operations team (whether called DevOps, Platform Engineering, Site Reliability Engineering, or Infrastructure) is the team responsible for the systems that other engineering teams build on. The question of when to create a dedicated operations function is distinct from the question of whether operations work needs to be done. Operations work is required from the first day of production traffic. The question is when it requires dedicated ownership rather than being distributed across the product engineering teams.
Startup Technical StrategyThe Sales Engineering Function: A Founder Engineer's Best Asset
Sales engineering is the technical function that supports revenue by making complex products understandable to buyers. It sits at the intersection of engineering and selling. The sales engineer builds demos, answers architecture questions, writes integration guides, and handles technical objections during the sales process. Founder engineers who invest in this function win deals faster. The ones who skip it lose to competitors who show up prepared.
Startup Technical StrategyThe Engineer Customer Conversation: Patterns That Yield Insight
Engineers who talk to customers bring a different quality of attention to the conversation than product managers or salespeople do. They notice the workflow details that reveal where the product is creating friction. They hear the technical constraints the customer is working around. They ask questions that surface the 'how' behind the 'what.' These conversations produce different product insight than the conversations that product managers typically have.
Startup Technical StrategyThe Customer Feedback Pipeline Every SaaS Should Have
A customer feedback pipeline is the structured system that moves customer signals from the point of collection to the product team's decision making process. Without it, feedback accumulates in inboxes and support tickets and never influences the roadmap. With it, the patterns in what customers say become the clearest source of truth about what to build next.
Startup Technical StrategyThe Build Measure Learn Loop for Engineers
The build-measure-learn loop is the feedback cycle that turns engineering output into validated product decisions. Build the smallest thing that tests the hypothesis. Measure whether it changes the target metric. Learn whether the hypothesis was right or wrong. The engineering job in this loop is to make each cycle as fast and as honest as possible.
Startup Technical StrategyThe Three Layer Engineering Roadmap: Run, Grow, Transform
The three layer engineering roadmap is a planning framework that separates engineering work into three distinct buckets: Run covers the operational work that keeps the existing product healthy, Grow covers new features that expand the product's value, and Transform covers the architectural investments that change the system's fundamental capabilities. The model makes capacity tradeoffs visible and prevents operational maintenance from silently consuming the roadmap.
Startup Technical StrategyThe Engineering OKR That Works
An engineering OKR that works connects the team's technical work to business outcomes in language that both engineers and non-engineers can evaluate. The OKRs that fail are either too technical to be legible to the business or too focused on the business to be actionable for the engineering team. The engineering leader's job is to write OKRs that translate between these two levels: specific enough to guide technical decisions, meaningful enough to reflect business impact.
Startup Technical StrategyThe Quality vs Speed Tradeoff: A False Dichotomy
The quality versus speed tradeoff is not a tradeoff at all. It is a false framing that lets teams avoid the harder question: which decisions are reversible and which are permanent? I treat quality as the discipline of making reversible choices reversibly and permanent choices carefully. Speed follows from that clarity, not from lowering standards.
Startup Technical StrategyThe Engineering Velocity Question: How Fast Should You Be Shipping?
Engineering velocity is not a single metric. It is a function of how quickly a team can move from a validated idea to a working feature in production, measured against the constraints of quality and reliability appropriate for the product's current stage. The startup that is learning needs velocity optimized for iteration speed. The company with a critical financial product needs velocity optimized for safety and confidence. The right velocity is the one that serves the current optimization target, not the fastest velocity possible.
Startup Technical StrategyThe Roadmap vs Reality Gap: A Founder Discussion
The roadmap versus reality gap is the distance between what a founder believed would ship in a quarter and what actually shipped. I have watched this gap destroy relationships between founders and engineers, derail fundraises, and cause good teams to feel like they are failing. The gap is almost always a planning problem, not an execution problem. Fixing the plan fixes the gap.
Startup Technical StrategyThe Technical Founder's Quarterly Review
The technical founder's quarterly review is a structured self-assessment of the engineering organization against business goals. It covers what was shipped versus what was committed, where technical debt accumulated, what the team's morale and capacity actually looks like, and what the next quarter's priorities should be given honest data. The teams that run this discipline build trust with investors, avoid engineering crises, and ship what they promise.
Startup Technical StrategyThe Technical Due Diligence Checklist for Investors
Technical due diligence is the structured evaluation of a company's engineering assets, architecture decisions, team composition, and technical debt before an investment closes. The process identifies risks that financial models cannot capture: codebases that cannot scale, teams that will leave, dependencies that create single points of failure. Founders who prepare for it honestly close faster. Investors who skip it pay for the risks they did not see.
Recruiter and Career PositioningThe Engineer's Five Year Plan: A Practical Template
A five year engineering career plan is a written set of intentions covering skill targets, title progression, financial milestones, and the work that connects them. It is not a rigid schedule. It is a reference document you update every quarter to check whether your current work is compounding toward something specific or just keeping you busy. Engineers who write this down outperform engineers who do not, across every cohort I have watched.
Recruiter and Career PositioningThe Engineering Community: Why It Matters More Than You Think
The engineering community is the network of peers, contributors, and practitioners that engineers build relationships with over time. For most engineers, community is an afterthought, something that might be useful someday. The engineers who treat community as a career asset from the beginning consistently access better opportunities, learn faster, and build reputations that precede them into interviews and client conversations.
Recruiter and Career PositioningThe Engineering Conference List Worth Traveling For
Engineering conferences vary enormously in value. The conferences worth traveling for share specific characteristics: a speaker selection process that prioritizes practitioners over vendors, an audience that includes senior engineers and decision makers in your domain, and a hallway track that produces connections and conversations that do not happen online. Most engineering conferences do not meet this bar. The ones that do are worth the investment.
Recruiter and Career PositioningThe Engineering Podcast List Worth Your Time
Engineering podcasts span a spectrum from practitioner depth to introductory surface. The podcasts worth your time are the ones where the guests have shipped production systems at scale and are talking specifically about what they learned. The ones that are not worth your time are the ones where every episode is an introduction to a concept you already know from a guest who has written a book about it. The distinction is specificity: practitioners are specific about what failed, what worked, and why.
Recruiter and Career PositioningThe Engineering Skills That Decay
Engineering skills decay at different rates. Some skills (specific framework syntax, tool specific configuration, platform specific APIs) become obsolete as the underlying technology changes. Others (specific protocol implementations, security patches for deprecated systems, optimization techniques for outdated hardware) decay because the environment they were relevant to no longer exists. The engineer who does not plan for skill decay will find their career options narrowing as the technologies they know best age out of the market.
Recruiter and Career PositioningThe Engineering Reading List for 2026
An engineering reading list is only as useful as its curation. The list that helps is the one that distinguishes between resources for engineers who are developing depth in a specific area and resources for engineers who are developing breadth. The most common mistake with engineering reading is spending time on introductory material in areas where introductory material is not the bottleneck. The bottleneck for most experienced engineers is depth in specific areas and breadth in adjacent ones.