Posts tagged: Software Engineering
Opinions and field notes on how we ship software — architecture, developer experience, and the craft.
Why Q1 Became a Turning Point for Surton
Client demand finally caught up with Surton's early AI shift, changing the company's work, conversations, and direction in a single quarter.
How to Build a Company for the Agentic Era
Map the work, redesign the handoffs, and build an AI-native company around judgment instead of ceremony.
When shielding your team becomes the bottleneck
Protecting your team from every pressure point can quietly turn leadership into isolation, delay, and burnout.
12 Tips for Scaling Your Engineering Team
A practical framework for growing an engineering team without losing speed, clarity, or accountability.
Stop Over-Instructing AI
AI performs best when you define the outcome and the checks for success instead of scripting every step.
SOPs are easier to build when the work happens inside the tool
A practical five-step approach for turning repeatable work into usable SOPs without adding a separate documentation project.
AI Creates Value Where Predictability Breaks Down
The biggest AI opportunity is not making software more rigid. It is giving systems enough judgment to handle work that used to depend on a person saying, 'it depends.'
What 2025 Revealed About AI and the Future of Work
AI did more than speed up work in 2025. It challenged old ideas about identity, value, and what staying relevant now requires.
A Practical 3-Tool Rotation for AI Engineering
A simple operating model for AI engineering: use one tool for fast execution, a second for diagnosis, and a third for understanding unfamiliar systems.
The 3-Step Framework to Understand a Codebase Before You Build
A practical three-step workflow for turning unfamiliar code into shared understanding before AI accelerates the wrong work.
Why Your Last Technical Collapse Was Preventable
Technical collapse rarely arrives without warning. The earliest signs usually show up in unresolved tickets, opaque systems, and teams that depend on heroics to recover.
You Can't Outwork a Training Problem
When the work keeps piling up, the real constraint is often capability—not effort. Training is how leaders remove themselves as the bottleneck.
The 20x Engineer Thinks in Experiments
AI is creating a wider gap between engineers who optimize for less work and those who use it to test more ideas, learn faster, and ship more value.
Why Your Engineers Are Grieving and What Comes Next
AI adoption is often emotional before it becomes practical. Here’s how engineering teams move from fear to fluency, and how leaders can help.
AI Works Better With Context Than Clever Prompts
Most teams don't need prompt tricks. They need structured context that helps AI understand their code, constraints, and goals.
How to Lead When Everything's Breaking
A practical crisis playbook for founders and engineering leaders: stabilize the room, narrow the facts, and guide the team back to execution.
AI Panic Is Missing the Real Constraint
AI will change how work gets done, but adoption, context, and human judgment still matter far more than the loudest predictions suggest.
How to Trust Your Team Without Losing Control
A practical five-level framework for delegating work without creating bottlenecks, rework, or constant second-guessing.
7 decisions that quietly break engineering teams
The engineering orgs that struggle most usually aren't undone by one bad tool—they're weakened by a handful of expensive leadership mistakes.
How Great Service Businesses Become Hard to Replace
The service firms clients keep are the ones that pair elite execution with proactive communication, fast decision-making, and measurable value.
Why Cheap Talent Costs You More Than You Think
Saving on engineering salaries can quietly increase rework, slow delivery, and drive away the people you most need to keep.
Developer onboarding is an expensive product failure
Slow onboarding quietly drains engineering capacity. Treat it like a product, and new hires start contributing sooner and stay longer.
The Cost of Context Switching
Engineering output drops fast when focus gets fragmented. Protect deep work, batch communication, and design your team around fewer interruptions.
How to Pick the Right Technical Partner
The best technical partner depends on your stage, internal capability, and the kind of problem you need solved—not just who can start fastest.
How to Actually Hire Great Engineers
Most engineering interviews measure performance in a contrived setting. A shorter screen and a paid trial reveal far more about how someone will actually work.
Heads-Up and Heads-Down Engineers Need Different Operating Environments
Strong engineering teams stop forcing one work style on everyone and design for both deep focus and fast response.
What Drove Surton’s Breakout Year in 2024
A look at the market shifts, operating principles, and talent decisions behind Surton’s 11x growth in 2024.
Why Contract Engineers Are a Smarter Business Bet
Specialized contract engineers help startups move faster, control burn, and bring in the right expertise exactly when it matters.
Surton Wasn’t Supposed to Work. That’s Exactly Why It Did.
Surton’s founding story: lessons from building BriteCore, stepping aside, and launching a different kind of engineering services company.