Applied research from delivery, staffing, and AI engagements.
Specific, technical write-ups on problems we've actually worked through: how they showed up, what we did about them, and what it cost.
Clearing 13 weeks of backlog debt without a rewrite
A tiered triage system, not a hiring spree or a platform rewrite, is usually what actually unsticks a stalled backlog.
DeliveryRequirements engineering is coming back
When a model can generate code from a prompt in seconds, the prompt becomes the bottleneck. Vague requirements now cost you immediately.
DeliveryWhat happens when the backlog becomes cheap?
AI tooling makes it cheap to build almost anything on the backlog. That doesn't make prioritization easier, it removes the excuse for not doing it well.
DeliverySoftware delivery is becoming an orchestration problem
As more coding gets delegated to AI agents, the scarce skill shifts to sequencing, reviewing, and integrating what agents and people produce.
StaffingThe CV is becoming a weaker signal
AI writing tools make every CV read equally polished, which quietly destroys the CV's usefulness as a screening signal.
StaffingAI changes the interview problem
Take-home tests and even live coding interviews are newly vulnerable to AI assistance. The fix isn't banning tools candidates use on the job anyway.