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92% of executives are confident in their AI talent sourcing.
Only 29% of the engineers doing the work agree.
Same company. Different reality.
Where does your team sit? 👇
#EngineeringCulture#CTO
Everyone benchmarks AI coding on greenfield code.
@Stanford puts the gain at 35 to 40% there. On complex legacy systems, often under 10%.
Most enterprise roadmaps are legacy. That is where the ROI case quietly falls apart.
#LegacyCode#EngineeringLeadership
Everyone asks: "Which AI model is better?"
The better question:
"Better for what?"
Every AI decision has trade-offs.
Performance, cost, speed, and reliability all matter.
Exploring these trade-offs at TechnBrains.
#AI#AIEngineering#LLM
The top verified score on Terminal-Bench 2.1 is 83.8%.
Not 89%. Not 92%.
Those come from vendor reports. On the official leaderboard, where the Terminal-Bench team ran the eval, nothing clears 84%.
Check the harness before you quote the number.
#AICoding