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56 articles tagged #Career.
P.01Forward-deployed engineer job postings grew over 1,000% year-over-year heading into 2026, with comp bands clustering at $300K-$550K. Here's what the role actually is, why it exists, and what it means if you're hiring or being hired.
P.02A data analyst is not a junior data scientist and not a dashboard builder with no opinions. Here's what the role actually requires, how it differs from data scientist and data engineer, and the screen that finds someone whose analysis changes decisions.
P.03Most agencies tolerate a bad client relationship for months longer than they should because nobody has a framework for the decision. Here's how to recognize when a client is no longer worth keeping, and how to end the relationship without burning your reputation.
P.04Hiring an engineering manager fails for reasons different from hiring an IC. Here's what to actually test: handling underperformance, technical debt calls, and pushback with the business.
P.05Microsoft laid off 4,800 employees on July 6, 2026, hitting Xbox and commercial sales hardest, even as it keeps pouring money into AI infrastructure. Here's what the pattern means if you build software for a living.
P.06MLOps sits between the model-building work of a data scientist and the general infrastructure work of a DevOps engineer. Here's what the role actually owns, what to screen for, and where the candidates come from.
P.07Game 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.08Agent sandbox escapes, prompt injection, and tool-permission design are a distinct skill set from traditional application security. Here's what to screen for, where to find candidates, and how the role differs from a generalist cybersecurity hire.
P.09Rails isn't the default startup choice it was a decade ago, but it didn't disappear either. Here's an honest read on where Rails still wins, where it loses to Next.js and Django, and who should actually spend time learning it in 2026.
P.10North Korea-linked campaigns are hiding malware inside take-home coding tests, using steganography in SVG images to slip past review. Here's how the Contagious Interview campaign actually works and how to vet a coding challenge before you run it.
P.11Apple 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.12Apple 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.13AI 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.14AI coding agents have made broad, shallow knowledge cheap to fake and easy to automate. What's getting scarcer, and more valuable, is the deep expertise to know when the agent's output is wrong. Here's how to think about specializing versus generalizing in 2026.
P.15New June 2026 data shows software engineer job listings up 30% with 67,000+ open roles — even as AI headlines focus on layoffs. Here's what the numbers actually show about who's hiring, which skills matter, and where the market is contracting.
P.16Most 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.17Most hiring managers look at the wrong things on a GitHub profile. Stars and follower counts tell you almost nothing. Here is what to actually look for, and what the AI era changed about reading developer profiles.
P.18Both formats have real problems, and AI made the take-home problem worse. Here is an honest look at what each format predicts, where each fails, and the hybrid that works better than either.
P.19Most 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.20LeetCode 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.21A 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.22The remote market is more competitive and more winnable than it looks. The developers who get hired are not always the strongest coders. They are the easiest to evaluate. Here is how to become one of them.
P.23Most 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.24Most 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.25Most 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.26The 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.27Most 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.28Most 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.29Hiring 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.30An Architecture Decision Record captures why a technical choice was made, not just what was decided. One page per decision, stored in the repo, reviewed in PRs. Here's the format and how to make it stick.
P.31Most 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.32Most 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.33The 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.34PLG 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.35AI 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.36Most 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.37The command line tools most developers use today are a decade old. Here's what's replaced them and why: terminals, Git UIs, shell configuration, and the small tools that compound into significant time savings.
P.38Scope 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.39Every 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.40Most 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.41Burnout among developers isn't new. But the specific pressures of 2026 — AI-driven productivity expectations, skills anxiety, and the blurring of output and identity — create a different texture of exhaustion.
P.42Retainer 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.43Most 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.44The honest read on web developer demand after AI's impact, which roles are hot, which are cooling, and what the working week actually looks like across employment types.
P.45Real 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.46RAM prices surged 90% in Q1 2026 as AI data centers consume 70% of global memory. Here's how the shortage impacts developers, hardware costs, and what you can do about it.
P.47Gartner's $44.5B projection for low-code has arrived. Here's how platforms like Retool, Bubble, and FlutterFlow are reshaping development, and what it means for professional developers.
P.48EditorPickThe 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.49EditorPickGoogle Summer of Code 2026 accepted 185 organizations. Here is everything you need to know — eligibility, timeline, stipends up to $6,600, how to write a winning proposal, and the mistakes that get you rejected.
P.50Tech layoffs continue in 2026 while companies report severe talent shortages. We analyze the data behind this paradox, AI's role in reshaping developer demand, and which skills are actually in demand.
P.51The traditional developer career ladder is fragmenting. IC tracks, management, staff-plus roles, and hybrid paths offer different ways to grow. Here's how to navigate them.
P.52The developer employment landscape offers more options than ever. Here's an honest comparison of freelancing, agency work, and full-time employment to help you decide.
P.53Tech interviews are evolving. Take-home projects, AI-assisted coding, and system design are reshaping how companies evaluate developers. Here's what to expect.
P.54EditorPickMicrosoft, Google, and Amazon are migrating critical systems to Rust. Learn why Rust is becoming the default choice for systems programming and how to get started.
P.55EditorPickA structured 100-day data science bootcamp roadmap covering Python, statistics, machine learning, deep learning, and real-world projects.
P.56A step-by-step guide to writing and publishing research papers in artificial intelligence, machine learning, and deep learning — from ideation to submission.