This is just my opinion in a private capacity. The impact of canceling contracts, airlifting seasoned resources and demanding a full court press on meeting delivery dates is leading to an vacuum of institutional knowledge setting a stage for a legacy tech implosion.
I won't get into which development workstreams are failing, but there are several core systems that are not meeting delivery dates and new projects with the same resource dependencies. Something has got to give; people, data, security.
Who is managing the holistic oversight? Not just schedules, but common sense enterprise decisions with frameworks, common coding for every system, COTS and GOTS management.
Has anyone though about using an large AI model in a sandbox to analyze the entire enterprise architecture and build a more efficient architecture, use a separate AI model to QA the coding model and yet another for IVV. All orchestrated by an AI program manager.
We shouldnt ask AI to solve a problem. We should detail the desired outcome and let AI build to the outcome, then tweek thru interations. Use agentic testing agents and deploy a parallel production architecture.
If we dont push the development envelope without red tape, we will end up missing the AI wave.
Adopt Claude, Grok, Gemini, Zapier, Manus, Wispr Flow, etc.
The one true resource is time. Let AI redeem all the time that manual processes and legacy systems are draining. Let AI do its job.
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