"Just break it into microservices" turns one slow monolith into ten tangled ones if you skip the hard part: real service boundaries, incremental migration, proving each piece in production before touching the next.
https://t.co/Fx1of6tUY5
You don't need a $200K/yr CTO before you have the team to justify one. Fractional technical leadership covers architecture, hiring structure, and standards — without the full-time executive cost.
https://t.co/2FFZhuVsY2
Over-provisioned Kubernetes clusters are one of the most common — and most fixable — sources of cloud waste. Right-size requests/limits, tune autoscaling to real traffic, mix in spot capacity. No guesswork.
https://t.co/PvnfsOTOIB
Your best engineers spend 6-8 hrs/week reviewing PRs by hand. Most of that is stuff a script should catch before a human ever looks. We built the layer that catches it. Review time cut by 70%.
https://t.co/31zdfzd6cx
Buy vs build is a recurring trap. We use a decision framework that weighs total cost of ownership, time-to-value, customization needs, and exit flexibility. https://t.co/vUAmFOwcGW #BuyVsBuild#CustomSoftware
Buying or investing in software? Technical due diligence that actually surfaces hidden debt, scalability risks, and maintainability gaps. https://t.co/pd8sWPapnF #TechDD#DueDiligence
PDF data extraction still manual? Production pipelines handle variable layouts, confidence scoring, and validation loops. 80%+ time savings. https://t.co/Jc9nWdA39x #PDFAutomation#DocumentAI
Vibe-coded apps fail in production for predictable reasons. 6 failure points we've seen repeatedly—and how to close them. https://t.co/s7BO8DwRC8 #VibeCode#ProductionAI
Agentic workflows in production need more than a single LLM call. Orchestration, checkpoints, observability, and fallback paths. The patterns that actually ship. https://t.co/UPo6ETnOI5 #AIAgents#ProductionAI
Overpaying on AWS compute? Savings Plans + right-sizing can cut 30-50% without sacrificing performance. Real patterns from production workloads. https://t.co/6PsloHnC6A #AWS#FinOps
Fintech API integrations fail differently than standard APIs. Retry logic on timeouts, idempotency on retried payments, partial transaction state handling — production-grade from day one. https://t.co/31zdfzd6cx #Software
Healthcare data pipelines need HIPAA-aware transforms, per-step audit trails, and tolerance for messy HL7/FHIR sources. Standard ETL assumptions break. We build the right version. https://t.co/31zdfzd6cx
AI customer service works when you tier it: auto-resolve basics (60-70% of volume), augment humans for complex cases, escalate only truly high-stakes. Start narrow. https://t.co/31zdfzd6cx #AI
Slow APIs usually aren't a code problem — they're a database problem. N+1 queries, missing indexes, full table scans. Fixable in days with proper profiling. https://t.co/31zdfzd6cx #Software
$180K AWS bill → $108K with reserved instances. The math works: analyze stable baseline workloads, pick Convertible 1-yr RIs, layer with Savings Plans. https://t.co/31zdfzd6cx #AWS
Off-the-shelf logistics software is built for average ops. If yours isn't average, you need a custom build. Real-time tracking, custom dispatch, system integrations. https://t.co/31zdfzd6cx #Software
Multi-agent AI: coordinator routes, sub-agents process. 94% of documents handled without human touchpoints. The key is structured handoff schemas. https://t.co/31zdfzd6cx #AI
ML model that works in a notebook but not in production isn't a product — it's a demo. Serving infra, monitoring, versioning, drift detection — that's the other 80% of the work. https://t.co/1nFMOYjQRY
**Link:** https://https://t.co/1nFMOYjQRY
Building on AWS and need SOC2 or HIPAA readiness? Architecture decisions in month 1 make compliance cheap or expensive later. Build it in from the start. #CloudComputing https://t.co/1nFMOYjQRY
**Link:** https://https://t.co/1nFMOYjQRY
How much time does your team spend processing invoices manually? AI automation handles extraction, routing, and approval in minutes. Full breakdown: https://t.co/PAKNPcVGn2
**Link:** https://t.co/PAKNPcVGn2