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97 articles tagged #Business.
P.01From September 11, 2026, anyone selling a product with digital elements into the EU has 24 hours to report an actively exploited vulnerability to ENISA. Here's who's actually in scope, what the reporting timeline looks like, and what to have ready.
P.02METR's rigorous randomized trial found AI tools made experienced developers 19% slower in 2025, then flagged its own 2026 follow-up as unreliable. Here's what the messy data actually supports, and why a top HN post argues 2x is the realistic ceiling.
P.03Meta quietly launched Pocket, a vibe-coding app that turns text prompts into playable mini-games with a social feed attached. Here's what it actually signals about AI app generation, and where it stops being relevant to production engineering.
P.04GitLab's 2026 AI Accountability Report found that 78% of developers write code faster with AI, yet 79% say overall software delivery hasn't accelerated. Here's where the time actually goes.
P.05Game development hiring is not the same discipline as web or mobile hiring. Here's how to tell Unity from Unreal talent, what to actually test for, and what it costs to get this right in 2026.
P.06OpenAI launched Presence on July 22, 2026, a platform for deploying voice and chat AI agents with access controls, simulation testing, and Codex-driven improvement loops. Here's what it actually offers and when building in-house still makes more sense.
P.07Indian AI app-builder Emergent raised $130M at a $1.5B valuation just over a year after launch, with 12M+ apps built and 200,000+ paying customers. Here's what that kind of scale actually signals, and where custom development still wins.
P.08The direct answer: calculate your required sample size before you start, based on your baseline conversion rate and the smallest effect worth detecting, then run until you hit it. Stopping early on a good-looking p-value is how most A/B test results turn out to be noise.
P.09A voice clone needs three seconds of audio and can authorize a wire transfer over the phone. Here's what deepfake executive fraud actually costs companies in 2026, and the callback protocol that closes the specific gap it exploits.
P.10Apple sued OpenAI on July 10 alleging systematic trade secret theft through hired-away employees. The allegations read less like a one-off scandal and more like a checklist of gaps in how most companies handle hiring, interviews, and offboarding.
P.11Apple sued OpenAI on July 10 over an alleged scheme to recruit engineers and extract confidential data, then sent preservation letters to 40 more former employees. What happened, and what it means for how any company handles departing staff and hiring.
P.12A unit-pricing bug in AWS's billing estimate subsystem sent some customers cost projections in the billions and trillions on July 16. Invoices were unaffected, but automation wired to those estimates wasn't. What happened, and how to build cost alerting that fails safely.
P.13Stripe and Advent International have offered $60.50 a share, more than $53 billion, to acquire PayPal. It's a reported bid, not a closed deal. Here's the realistic timeline and what engineering teams integrating either platform should actually do now: not much, yet.
P.14Chatbot disclosure, deepfake labeling, and AI-generated content transparency become enforceable across the EU on August 2, 2026, with fines up to €15M or 3% of global turnover. A practical checklist for product teams.
P.15Together AI raised $800 million at an $8.3 billion valuation on July 1, 2026, with annual bookings past $1.15 billion. What the numbers say about the economics of running open-weights models versus closed APIs.
P.16Looking for an Andela alternative? An honest look at where Andela fits, where it does not, and how to hire vetted developers when you need one or two of them fast.
P.17Looking for an Arc.dev alternative to hire vetted remote developers? An honest look at what Arc.dev does well, where it leaves work on your plate, and how the options compare.
P.18Upwork is the biggest freelance marketplace, but the vetting is on you. An honest look at Upwork alternatives for developers and how to pick the right one.
P.19Platform engineering has its own hiring cluster now, distinct from DevOps, SRE, and cloud architecture. Here's how to define the role correctly, screen candidates for product thinking over ticket-taking, and avoid paying platform-engineer money for ops-with-a-new-title.
P.20Microsoft launched Frontier Company on July 2, 2026: $2.5 billion and 6,000 engineers embedded in clients to get AI projects into production. AWS, Anthropic, and OpenAI launched similar units this year. Here's what it means for teams buying, building, or selling AI work.
P.21AI tool usage among developers hit 84% in the 2025 Stack Overflow Developer Survey, but positive sentiment dropped to 60%, down from over 70% the two years before. Usage is up. Trust is down. Here's what the gap actually means for how teams should use these tools.
P.22OpenAI has proposed handing the U.S. government a voluntary 5% equity stake worth roughly $42.6 billion. Here's what's actually being proposed, why now, and what critics say it would break.
P.23GitHub Copilot switched from Premium Request Units to AI Credits on June 1, 2026. Code completions remain unlimited. Everything else — chat, code review, pull request summaries — now draws from a monthly credit pool. Here's what you're actually paying for.
P.24Angular's enterprise comeback is real. Signals, standalone components, and zoneless change detection have changed what senior Angular skill looks like. Here's how to hire for it.
P.25Database engineer is distinct from data engineer. One designs schemas, tunes queries, and manages production Postgres. The other builds pipelines. Here's how to hire the one who keeps your app fast.
P.26React Native's New Architecture is now the default. Hiring a good RN developer means finding someone who understands JS/native boundaries, Expo's trade-offs, and when cross-platform is the wrong call.
P.27Salesforce powers enterprise sales and service for over 150,000 companies. Hiring the wrong developer means expensive tech debt inside a platform you can't easily migrate off. Here's what to look for.
P.28WordPress powers 43% of the web, but 'WordPress developer' covers everything from theme configurers to block API engineers. Here's how to find someone who can actually build what you need.
P.29Acquiring a product, taking on a legacy project, or partnering with a technical team? Here's how to assess a codebase systematically — what to look for, what kills deals, and what's fixable.
P.30Elixir's talent pool is small, opinionated, and genuinely skilled. Here is how to find the real engineers in it, what to test for, and why the screen differs from every other backend hire.
P.31Site Reliability Engineering is a specific discipline, not a synonym for DevOps. Here is how to define the role correctly, screen for the right skills, and avoid hiring an ops generalist and calling them an SRE.
P.32The order you hire your first 10 engineers matters more than the total headcount. Here is how to sequence the hires, what ratios work, and the common mistakes that slow teams down before they start.
P.33Blockchain developer is not one job. Smart contract engineers, dApp frontend developers, protocol engineers, and Web3 security auditors require completely different screens. Here is how to find the right one.
P.34Most developers leave money on the table not because they lack leverage, but because they negotiate too early, disclose their current salary, or accept the first number. Here is what actually works.
P.35Mobile app budgets are consistently underestimated because they only price the build. Here is a complete cost breakdown across app types, platforms, and delivery models, with the hidden line items most quotes leave out.
P.36Most software development RFPs attract either no responses or bad ones. Here is what the document should contain, what to leave out, and how agencies evaluate them before deciding whether to reply.
P.37Most reference checks are theater. The candidate selects three friends who say nice things, and you move on. Here is how to run reference calls that surface real information before you extend the offer.
P.38Data engineers build the pipelines, warehouses, and transformation layers that make data useful. They are not data scientists, not backend developers, and not analysts. Here is how to hire for the actual role.
P.39Full-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.40Choosing 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.41The '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.42iOS 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.43LeetCode 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.44Android 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.45Python 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.46A 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.47A 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.48I 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.49A 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.50Most 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.51Toptal 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.52The 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.53AI 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.54Most 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.55Most 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.56The 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.57Most 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.58When 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.59Most 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.60Hiring 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.61Most 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.62Most 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.63The 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.64Employees are using AI tools IT hasn't approved, and the data leaving through those tools is largely invisible. Here's what the risk looks like and what actually helps.
P.65Manually 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.66PLG 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.67AI projects flood every portfolio. Here's what actually distinguishes a developer's work from the crowd — and why the way you document your decisions matters more than the tech stack you picked.
P.68Most 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.69A 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.70A 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.71Scope 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.72AI 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.73Most teams pick an analytics tool based on a free trial and then live with that choice for years. Here's an honest comparison of PostHog, Mixpanel, and Amplitude so you pick the right one before the data gets messy.
P.74Every 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.75Most 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.76Past the chatbot hype, AI is genuinely improving specific e-commerce outcomes. Here are the implementations producing measurable results, and the ones that still mostly disappoint.
P.77Retainer 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.78Choosing 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.79Project 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.80Most 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.81Most 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.82Every 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.83The 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.84Real 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.85When proximity actually matters, when it doesn't, and how to evaluate local agencies without falling for the 'we have an office in your city' theatre.
P.86How to choose a website development agency in the USA with clear evaluation criteria, pricing models, red flags, and ROI-focused decision checkpoints.
P.87The timezone juggling, the cultural code-switching, the payment friction, and the surprising advantages. An honest founder's perspective on building an India-based agency serving US, UK, and Australian clients.
P.88EditorPickEvery agency claims to 'use AI' now. But there's a fundamental difference between bolting AI onto existing workflows and building an agency around AI from the ground up. Here's why we made that choice and what it actually means.
P.89EditorPickThe real story of going from solo freelancer to running a tech agency. Revenue, hiring mistakes, client nightmares, and the systems that finally made it work.
P.90Anthropic spent millions on Super Bowl commercials pledging Claude will remain ad-free forever, taking direct aim at OpenAI's ad-supported ChatGPT model. A business model war is brewing.
P.91EditorPickA comprehensive, honest comparison of the top web development agencies in 2026. We break down specialties, tech stacks, pricing, and ideal client fit — so you can choose the right partner for your project.
P.92Hiring a web development agency? Here's the framework we wish every client used before contacting us. Covers evaluation criteria, red flags, questions to ask, and how to get the best results from your agency partnership.
P.93From $800 landing pages to $500K enterprise platforms — here's the real breakdown of web development costs in 2026, with pricing by project type, region, and technology stack.
P.94India has 50,000+ IT service providers. Most are mediocre. Here's an honest insider's guide to identifying the great ones — from portfolio evaluation to contract negotiation, with specific warning signs.
P.95Choosing the wrong AI partner wastes 6 months and $50K+. Here is the evaluation framework our CTO clients wish they had before their first engagement — 23 questions across technical depth, process, and culture.
P.96A detailed breakdown of what goes into a conversion-optimized landing page at different price points — from $800 starter pages to $2,500 premium builds. With real conversion benchmarks and examples.
P.97Should you build a custom AI chatbot or use an off-the-shelf solution? We break down the real costs of Dialogflow, Rasa, custom OpenAI builds, and agency development — with monthly TCO projections.