A collection of 11 posts
A Stacklok survey of 520 leaders found 8% use one model provider, and MCP integrations (53%) and multi-step workflows (52%) are hardest to migrate. Here's how to vet agent developers on portability, MCP security, evals, sandboxing and cost, with a scorecard and paid work trial.
Andela's analysis of nearly 50,000 postings defines the LLM application engineer: LLM APIs plus harnesses, evals and guardrails. Includes a skills matrix, a JD template, a take-home eval task, a live debugging test, cost-routing math (Haiku 5.5, Luna, Sol), and red flags.
A bad developer hire costs between $60,000 and $240,000 when all costs are counted. Trial-based engagement is the structural fix — here's how it works and why the ROI is undeniable.
A practical decision framework for CTOs choosing between staff augmentation and direct hiring. Compare cost, speed, flexibility, and risk — then use a 5-question checklist to make the right call for your engineering team.
Hiring a senior software developer in 2026 costs far more than their salary. This breakdown exposes every hidden cost layer — recruiter fees, onboarding lag, bad-hire risk, and office overhead — and shows how vetted remote talent changes the math by $140,000–$200,000 per year.
A 12-step checklist for vetting AI-augmented developers: review of agent output, proof that agent work happened, eval and guardrail literacy, token-spend awareness, plus a workflow for AI-fabricated applications based on Stack Overflow's 1,000-applications-in-24-hours case.
A vendor-neutral breakdown of staff augmentation vs outsourcing vs managed services: control, accountability, IP, scaling, and when each fits.
A $30/hour offshore hire can cost ~$69/hour fully loaded. Q4 2026 update: rates by region and stack, Indeed's 5.7% pay premium for AI-exposed roles, Claude/Codex/Copilot/Cursor seat pricing, and a 4-person team model at $390/dev/month in AI spend.
A practical guide to risk-free developer trials: the four trial models, what to evaluate week-by-week, red flags to watch, and how to convert a successful trial into a long engagement.
A 5-stage vetting funnel for remote engineering hires in 2026 — what each stage tests, where most teams cut corners, and how to evaluate AI-native fluency without rewarding hype.
73% of AI coding-tool users use them daily and Claude Code (66%) leads Copilot (59%) among coding agents, yet only 20% use AI to deploy or operate production systems. For hiring, that means screening for verification, review-bot triage, parallel agents and token-spend judgment.