Shmuel Shottan

On Agent Dev & The Case for The Engineer’s Creative Process Agent development pulls engineers closer to the headspace of artist - and my bet is if engineers embrace and protect their creative processes, we unlock the next level of innovation in this agentic era. In machine learning, the saying goes, "it is more art than science." Building agents is a non-deterministic process that adds significant variance into systems. Engineers would be well-served to hone their creative process. The best engineers will become artists. 1. Building isn’t linear. Building agent infrastructure is far from linear. Engineers often experience a cycle of frustration and eventual breakthroughs. While not perfect, these reasoning systems are now stable enough for integration into our tools and lives. The history of AI, from machine learning to deep learning, has always involved non-linear development. Today's agent infrastructure development is even less linear, requiring engineers to understand complex semantic translations and carefully manage user rollouts to avoid failures. 2. Building with a relationship to the work. With new forms of intelligence come new relationships. Engineers must navigate a relationship to work that involves agent memory and understanding. What is it to build a system that knows you? When people feel understood, they feel loved. What is it to love the systems we’re creating? How does a creative process help? A non-linear process and a relationship to the work are the territories of the artist. Engineers, trained towards control, must embrace uncertainty, risk embarrassment, and accept that their efforts might yield unexpected results. We’re glimpsing a creator's role in a system that understands. While engineers have largely operated in a logical space, they are now called to form a heart connection with the systems they build. A creative process helps artists endure challenges and breathe life into their work. It involves a commitment to creating, discipline, and accepting that one can only control the process, not the outcome. Agent development pulls engineers closer to the mindset of artists. If engineers embrace and protect their creative processes, we can unlock the next level of innovation in society. Read more on this on my Twitter: https://x.com/ashebytes

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GraphQL makes your APIs better. The days of #GraphQL vs #REST are over, now it is all about how both technologies can work together to deliver value to your end users and customers as part of cohesive #API strategy. They can exist side by side and enable each other. I’m genuinely excited about what Apollo GraphQL and our product roadmap will be delivering to show the world just what is possible! Check out this great interview with Matt DeBergalis by Intuit Open Source and hear his thoughts on how the the two technologies can build on each other 👇🏻 #EnterpriseArchitecture #PlatformEngineering

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Thanks Joanne Chen and Jaya G. from Foundation Capital for the nod! Great to be in the cohort of top notch AI companies. Observability data is untapped goldmine of information, but when the time comes (in the middle of incident), it still requires "expert" skills to find the needle in the haystack. We at Deductive AI are democratizing the expertise to everyone in the organization.

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