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55 articles in Business.
P.01Full-stack means different things to every team. This is a practical guide to defining what you actually need, running a screen that catches specialists in disguise, and knowing when a generalist is the right call.
P.02Node.js has fractured into async-first, TypeScript-native, and edge-runtime camps. This is the practical screening guide for hiring a Node.js developer who can build production backends, not just Express tutorials.
P.03Choosing the wrong contract structure is one of the most reliable ways to damage a client relationship. Here is a practical guide to SoW, T&M, and the hybrid models that actually work for software projects.
P.04The 'DevOps engineer' title now covers three distinct jobs: platform engineer, SRE, and CI/CD specialist. Here's what each role actually does, what to screen for, and what the market pays.
P.05iOS development has changed more in the last three years than it did in the previous seven. Here's what strong iOS candidates know, how to screen them, and what to expect on rates.
P.06LeetCode interviews are popular and largely useless for predicting on-the-job performance. Here is what the research says works, and how to build a process that finds engineers who will thrive in your codebase.
P.07Android development has changed more in the last three years than the previous decade. Here's how to tell who can build modern Android apps from who learned it circa 2019 and never looked back.
P.08Python is the language of AI, data, and backend. But 'Python developer' covers a huge range of skill sets. Here's how to define the role, screen for real ability, and avoid costly mismatches.
P.09A week-by-week playbook for onboarding a new software engineer. What to cover in the first month, what most teams skip, and how to measure whether it is working.
P.10A step-by-step guide to screening React developers in 2026 — what to test, what seniority looks like, and the red flags that save you from a bad hire.
P.11I run one, so I will tell you how to hire one, including the parts most agency owners would rather you did not know. The green flags, the red flags, and how to tell a partner from a vendor.
P.12Everyone says their developers are vetted. Almost nobody tells you what that means. Here is what real vetting looks like, the screen we actually run, and the red flags that should end a conversation early.
P.13A practical comparison of offshore, nearshore, and onshore development for teams deciding how to staff a project. What each model costs, where it breaks, and how to choose.
P.14Most technical job descriptions repel the people they are trying to hire. Here is what senior developers actually look for, and how to write a posting that gets responses from the right people.
P.15Toptal is the default answer when someone wants pre-vetted developers fast. It is not the only one, and for a lot of teams it is not the right one. An honest look at the alternatives and how to choose.
P.16The salary number is the smallest part of the answer. This is a framework for the real cost of each hiring model, in-house, freelance, agency, and managed, so you can budget for the total, not the sticker.
P.17AI tools have cut development time on many projects. That creates an uncomfortable question: do you pass those savings to clients, pocket the difference, or rethink how you charge for software work entirely?
P.18Most agency IP sits unused in client project folders. Here's how to identify what's worth extracting, how to package it, and how to build recurring revenue from work you've already done.
P.19Most agency owners are the bottleneck in their own business. Here's how to identify where you're needed versus where a system or a person could replace you, and how to build those systems.
P.20The standard Scrum playbook was designed for product teams with stable backlogs. Agencies have different constraints: client reviews, scope negotiations, and projects that end. Here's what actually works.
P.21Most agencies figure out support pricing and SLA structure only after a client calls at 11pm. A better approach: define what you're selling before the project launches.
P.22When AI tools write 40-70% of a codebase, the usual rules for estimating support costs break down. Here's how to price maintenance work when your team didn't write most of the code.
P.23Most agency case studies don't convert because they focus on process and outputs instead of client decisions and outcomes. Here's how to write case studies that do the selling for you.
P.24Hiring a full-time developer for a three-month surge then watching them sit idle is one of the most expensive mistakes agencies make. Here's how to build a contractor network that actually works.
P.25Most project estimates fail before a single line of code is written. The problem is almost never the hours. It's the unexamined assumptions buried in them. Here's a more honest estimation process.
P.26Most handoff docs end up ignored six months later when a client can't find their CMS login. Here's what to write, how to structure it, and what most agencies skip that causes the most post-launch support calls.
P.27The invoice you send is only as good as the terms behind it. Here's how to structure deposits, milestones, and late fees so cash flow stays predictable and overdue invoices become rare.
P.28Manually compiling monthly reports is one of the highest-effort, lowest-value activities in a web agency. Here's how to replace most of that work with automated pipelines.
P.29PLG is not a marketing strategy. It's an architectural decision about where conversion happens. Here's what it looks like in practice and which patterns actually move revenue.
P.30Most agencies finish a project, invoice the client, and move immediately to the next one. The ones that improve fastest do one more thing: they sit down and ask what actually happened.
P.31A spec that doesn't get signed is a spec that doesn't protect anyone. Here's how agencies structure technical specifications that move projects forward instead of stalling them.
P.32A practical comparison of PostHog, Amplitude, and Mixpanel for SaaS teams in 2026 — covering pricing, self-hosting, event tracking patterns, and what metrics actually move products forward.
P.33Scope creep feels like a client problem until you realize the same clients cause it on every project while other clients never do. The difference is process, not personality.
P.34AI projects introduce IP, liability, and data training questions that standard software contracts don't address. Here's the language clients send and what it actually means for an agency taking the work.
P.35Every agency hits the same wall: more work than the team can handle, but not enough volume to justify a full-time hire. White-label partnerships are how the ones that survive it manage growth.
P.36Most agency developers don't think about the license of npm packages they install until a client's legal team asks. Here is what the major licenses actually require and where the real risks sit.
P.37Retainer contracts promise stable revenue. In practice, they often create scope creep, pricing resentment, and capacity problems. Here is how to structure them so they actually work for both sides.
P.38Choosing the wrong pricing model doesn't just slow growth — it creates misalignment that drives churn. Here is how the main SaaS pricing models actually work, where each one breaks down, and how to pick the right one for your product.
P.39Project kickoffs are where agency relationships are won or lost. The wrong start leads to scope creep, missed expectations, and a client who stops responding. Here's the exact onboarding process we use.
P.40Most technical proposals lose because they describe what will be built, not why the client should trust you to build it. Here's how to write one that actually wins.
P.41Most AI project failures start at the scoping stage. The client wants 'AI integration.' The agency quotes a price. Nobody defines what that actually means. Here's how to scope these projects properly.
P.42Every AI integration budget starts with API costs and ends with surprises. Here's what production AI features actually cost once you account for everything the initial estimate missed.
P.43The choice between fixed-price and time-and-materials contracts is one of the most consequential decisions in an agency-client relationship. Each model transfers risk differently. Here's how to decide which one fits your project.
P.44Real revenue, profit margins, and owner take-home for solo, boutique, mid-size, and enterprise web agencies, including the messy parts most income reports skip.
P.45Samsung halts Galaxy Z TriFold sales in South Korea after just three months, highlighting challenges in the foldable smartphone market amid this innovative era.
P.46Budget 2026 launches Biopharma SHAKTI with Rs 10,000 Cr outlay for biopharmaceutical innovation. Here's what it covers and who can benefit.
P.47EditorPickLenskart shares worth Rs 30,000 crore are being unlocked post lock-in period. With analyst targets of Rs 500-535, here's what investors need to know.
P.48Budget 2026 introduces SHE-Mark certification and SHE Marts for women-led businesses. Here's what it means and how women entrepreneurs can benefit.
P.49EditorPickBudget 2026 brings Rs 10,000 Cr SME fund, Semiconductor Mission 2.0, Biopharma SHAKTI & more for startups. Complete founder's guide to every announcement.
P.50UPI transactions exceed 14 billion monthly. Digital lending to hit $350B by 2030. Explore India's fintech revolution with key stats and trends for 2026.
P.51Every engineering team faces build vs buy decisions constantly. Here's a practical framework for making these decisions without analysis paralysis.
P.52Measuring developer productivity is notoriously difficult. DORA and SPACE frameworks offer research-backed approaches, but implementation is where most teams fail.
P.53Open source powers the modern internet, but maintainer burnout and funding challenges threaten its future. Here's the state of open source sustainability and emerging solutions.
P.54Remote work is permanent. Here's how to hire, onboard, and manage distributed engineering teams across time zones, cultures, and employment structures.
P.55Choosing a tech stack is one of the earliest and most consequential decisions for a startup. Here's a practical guide to making choices you won't regret.