All articles
Most AI oversight setups look right on paper and break down in practice. This piece helps engineering leaders identify where the gaps are before a failure does it for them.
By James Booth
13 min read
From AI Pilot to Production: The Organizational Shifts Engineering Teams Can’t Skip – Webinar Replay
AI is moving beyond pilots into production, exposing the limits of existing workflows. Engineering teams must rethink how they build, validate, and operate software in an AI-first environment.
By Bob Leibholz
8 min read
Turning AI pilots into P&L impact is not easy. Arun Nandi breaks down why value stays abstract at scale and what it takes to build the operating discipline that changes that.
By Arun Nandi
12 min read
A practical guide to software outsourcing for US companies: real cost breakdowns, nearshore vs offshore tradeoffs, and how to evaluate vendors.
By Facundo Molina
12 min read
Most vendor selection mistakes happen before contracts are signed. Learn what to evaluate, which red flags matter, and how to avoid costly missteps.
By Alessandro Baggio
26 min read
A practitioner's guide to staff augmentation. Covers the end-to-end process, common failure modes, a week-one onboarding playbook, and how to evaluate providers.
By Natalia Rodriguez
17 min read
AI features break in ways traditional testing can't catch. This is the case for evaluation-first engineering, the discipline that prevents silent regressions and keeps LLM-powered products reliable at scale.
By Rob Teegarden
10 min read
As AI generates more of the codebase, code review as we know it is becoming a bottleneck. The fix isn't faster review. It's review happening earlier, at the level of intent.
By Ayman Shoukry
12 min read
How Engineering Leaders Can Structure the PdM-PjM Partnership to reduce thrash and improve delivery predictability
By Renata Matos
11 min read
The real architectural shift isn't single-cloud to multi-cloud. It's cloud-agnostic to cloud-sovereign.
By Chris Haire
7 min read
Most AI pilots stall before production. Learn how to sort use cases by capability pattern, integration risk, and time to proof.
By Daniel Avila
11 min read
Machine Learning vs. Artificial Intelligence: What you’re Actually Building and When to Buy vs Build
Stop debating labels. Learn the production tradeoffs, governance risks, and hidden costs that determine whether to build in-house or buy AI capabilities.
By Agustín Achille
13 min read
See how engineering leaders reduce Kubernetes costs through visibility, team accountability, and safe autoscaling without sacrificing reliability or velocity.
By Jimmy E. Bonilla
11 min read
Most enterprises are running AI pilots that never reach production. Two seasoned technology executives break down what it actually takes to restructure an organization around AI.
By Bob Leibholz
7 min read
See how large Java teams can use governed multithreading to improve performance, reduce incident risk, and keep critical services predictable.
By Fernando Ugarte
11 min read