Scorecards, calculators, engineering skills, and field guides built from real projects, not generic theory.
34 battle-tested engineering patterns from shipping production SaaS. Each one tells you the problem, the principle, the implementation, and the business case. This is not a tutorial — it is the methodology we use every day.
The exact skill pack we use across every client project — consolidated from 40+ battle-tested patterns into a portable framework for Claude Code, Cursor, Copilot, and more.
The framework we use with every client before writing a line of code.
A 5-minute assessment that shows where your team stands and what to improve next.
Three questions to ask on every AI-generated PR. One page, pin it next to your monitor.
Input your constraints, get a clear recommendation with the math behind it. The same framework we use with clients.
In 5 minutes, know exactly where your team stands on AI adoption and what the next concrete move is.
The 22-point checklist we run for PE firms. Score any codebase across 5 technical dimensions before you sign.
Find out whether your service business is ready for a mobile app, or whether the timing isn't right yet.
The 20-item preflight checklist we run before every deploy. Five gates, all green, then you ship.
Log deploys, incidents, and recovery times. Auto-calculates your DORA tier so you can show leadership real numbers.
Score your niche across problem severity, market reachability, and build feasibility before you write a line of code.
The exact stack we run across 7 engineering categories, with cost breakdowns per role and a setup checklist.
Classify every database write by durability requirement so you only alert on what actually matters.
Next.js hides a real architectural bug from you. Your client components import server-side modules and it works fine — until you try Storybook, unit tests, or component isolation. Here is the one-question diagnostic and the three-line fix.
Your e2e tests aren't flaky because of Playwright. They're flaky because your UI wasn't built to be tested. One question fixes 90% of it.
Nine of fourteen bugs were already fixed on main. Five research agents spent 30 minutes confidently hallucinating root causes for problems that no longer existed. One 30-second check per ticket would have caught it all. Here's the framework that now runs every bug cleanup session.
Your Sentry query returns zero events. Your Datadog dashboard shows no errors. Your CloudWatch alarm is silent. You're either doing great or you're silently dead. Here's how to tell the difference — and why the default verification query on every observability platform gets this backwards.
React Hook Form's useFieldArray is two features pretending to be one. Use the wrong half for per-keystroke writes and you remount the input on every character. Here's the three-rule framework that turns a 50-row admin form from sluggish to indistinguishable-from-five — plus the three specific traps that every form-builder walks into until someone writes them down.
Most teams fix flaky Playwright tests by bumping retries and adding waitForTimeout. That hides bugs; it doesn't fix them. Here's the four-rung triage ladder that distinguishes locator drift from product bugs from infra outages — and the exit criteria that prove the suite is actually green.
Your ops lead opens the admin dashboard, sees nine truncated columns, and asks 'so is this person ready to take a call or not?' Nobody answers. Everyone does the derivation in their head. Here's the three-component pattern that collapses dense admin tables into scannable status boards without losing the raw data.
A growth lead told me the cookie banner was blocking the pixel. I ran a live browser diagnostic against their landing page. The pixel took 34 seconds to fire on mobile Slow 3G, long before any banner appeared. The actual villain was a post-hydration fetch for geo detection that nobody in code review caught. Here is the middleware-cookie fast path that eliminates the waterfall, and the diagnostic discipline that surfaces these problems in 30 minutes instead of three weeks.
I staged eight files. The commit landed with fourteen and 11,481 insertions - absorbing a parallel agent's unfinished database migration. Pre-commit hooks with auto-formatters can silently sweep concurrent unstaged work into your commit through their stash/restore cycle. Here's the three-line git habit that catches it before push.
A booking-critical alert fired at 19:17 UTC. The closer had edited a Google Calendar event 17 minutes after its scheduled start time — nothing more dramatic than extending the meeting block. Our integration treated it as a "reschedule," wrote the past timestamp into the database, dispatched reschedule emails to attendees about a meeting that already happened, fired a CRM event, then tripped its own future-time guard at the deepest layer. Every layer in front was silently wrong. The fix is two lines. The diagnostic question is portable across every webhook integration.
Shared dependency drift turns a one-hour upgrade into a three-day archaeology dig. Bun catalogs (default + named) make framework bumps a single root edit and turn family couplings (Mastra, React renderer + types) into structural invariants the build can't break.
Sentry Seer, Dependabot, and Cursor open fix PRs against a stale snapshot of your code. Before you merge, this 10-minute triage tells you which ones to keep and which silently break production.
Stripe, Clerk, and every API you integrate hand you a precise reason when a call fails. One line of defensive code throws it away, and a recurring bug hides behind "Please try again" for days. Here's how to stop swallowing the diagnosis.
A heartbeat monitor with nothing feeding it doesn't fail safe — it reports a permanent false outage. We found one that cried wolf 1,253 times while the system underneath was perfectly healthy. Here's how to find the lying monitors in your stack before alert fatigue costs you a real outage.
Most teams configure one PII scrubber and call it done. But redaction is a property of every place data leaves your process, and the weakest sink defines your exposure. Here is the gap, and the counterintuitive logger trap, that a routine audit almost always finds.
Most roadmaps are lists of tasks you can't tell apart — finished from abandoned, shipped from dark. A 12-section charter plus two gates (Definition of Ready and Done) turns each project into a measurable outcome with a baseline and a target.
Telemetry is metered by category and fails silently — when the trace budget runs out, every span is dropped while errors flow fine, so the performance dashboard goes dark and nothing pages. The counterintuitive fix makes the problem cheaper, not more expensive: cut the noise before you buy more budget.
A too-broad de-dupe key silently merges legitimately-different records — no error, no log, just a customer swearing their data vanished. One question catches every version of it, and the fix is splitting true-retry idempotency from your fuzzy 'looks like a dupe' window.
Everyone understands the empty dashboard. This is the version nobody notices: monitoring that works, errors arriving by the hundred, and every single report blank where it matters. One log line fired 970 times a day for months with the cause field empty on all of them. It carried a cause the whole time. We were reading the wrong object.
Deploys that build from a live folder ship whatever is on disk while they run. A branch switched mid-build put a mix of two versions into production, and every check passed. Here is the fifty-line guard that makes a deploy ship exactly one reviewed version, and prove it.
Every failed database call is one of two stories: your code broke, or the database wasn't there. Most teams file both under the same alert, so one overload lights up every feature at once and real bugs hide in the noise. Here is the two-rule split that makes alerts mean something again.
Software makes sensible decisions to do nothing all day: a setting is off, a record is a duplicate, there is nothing to send. When those decisions leave no trace, a correct choice and a bug look identical a week later. Here is how to record them so support can answer in thirty seconds, without flooding your history with noise.
Every login hands the browser a small pass with a fixed size limit. Go over it and the browser quietly drops the pass, so sign-in "works" and the user lands back on the login page. Your test account never hits it. Your admins with thirty accounts do. Here is how to find and fix it before they do.
Pages built ahead of time freeze whatever the build machine could see. One missing setting made a staging app disagree with itself, and one unreadable file path packed 465 MB into a single route. Both shipped green. Here is how to find and fix both.
Smart headers slide back when you scroll up. On a booking page, that puts the menu right on top of the form at the moment a visitor is deciding. Nothing errors, nothing alerts, and the page still looks polished. Here is the one question that catches it and the small fix.
A founder moved to a better domain. The site loaded, the app loaded, the deploy was green. Then I clicked sign in on the new domain and landed on the old one. Nothing was broken; every visitor was just being handed back the moment they committed. Here are the three places a domain move leaks, and the one question that finds them in an afternoon.
A team wanted one simple feature: send emails from each customer's own domain. Their code had a tidy rulebook for every email. Thirteen places ignored it and decided the sender on their own, and some replies from leads went nowhere. Here is the five-part fix that makes a rulebook real before you build on top of it.
A customer asked a question that looked like a bug. It was really a stack of product decisions, and the people who had to agree read at different depths. Here is the two-step habit that gets sales and engineering to agree on one page, then hands the engineer a ticket with nothing left to guess.
Usage-billed vendors charge for what their own meter counted, and your app's records quietly count less: the bot waiting in an empty call, the old account still connected, the file nobody deleted. Here is the one-day audit that finds the gap before a big deal multiplies it.
Every integration your product runs decides, on its own, whether to update a customer's existing deal or start another. Written separately in each one, the answers drift, and one customer ends up in your pipeline three times at three stages. Here is how to put the rule in one place, and the trap that makes merging two integrations riskier than it looks.
Coding agents copy your project, install dependencies, build, and restore databases, and nothing deletes the copies afterwards. One laptop went from 1 TB to 27 GB free this way. Here is the two-word rule, the weekly sweep and the alarm that keep the space free, and why your disk tool overstates what a cleanup will give back.