As we dive deeper into the realm of AI, there's a seductive allure suggesting that it will turn our development processes into lightning-fast endeavors. But hold your horses, or in our case, your spinning wheels.
Sure, AI can streamline certain tasks—think code suggestions and bug fixes. Yet, when it comes to the time-consuming processes, like building, testing, or deploying, expectations need calibration.
Consider your current setup: Is it optimized? Are there bottlenecks in your workflow that the AI can't address? Frustration often arises when we slap an AI sticker on our methods without first diagnosing the underlying issues.
Before surrendering to the promise of speed, invest some time in refining your processes. Replace that ancient tech stack with something more contemporary or focus on better automation practices. After all, even the flashiest AI can't fix a poorly designed pipeline.
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