This ⬇️ happened because the LLM was treated as a universal tool instead of an interface. A deterministic system behind the scenes would force the model to retrieve approved metrics instead of generating them. And human approval for high-stakes outputs would ensure the system stays aligned.
SYNDICODE
IT Services and IT Consulting
San Francisco, California 2,092 followers
Software Engineering Solutions
About us
Syndicode is your value-driven software development partner with a globally distributed team of 70+ engineers, designers, architects and IT managers. We are united by the mission to provide our clients with software products and services that perform, look, and work as designed. With 10 years on the market, Syndicode delivered end-to-end software development, dedicated teams, staff augmentation and team extension services to 200+ businesses worldwide. This includes but is not limited to AI Products, B2B and B2C Digital Products, Marketplaces, Web applications, Mobile Apps, SaaS services, CRM Systems.
- Website
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https://syndicode.com
External link for SYNDICODE
- Industry
- IT Services and IT Consulting
- Company size
- 51-200 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2014
- Specialties
- Custom Software Development, IT Outsourcing, Staff Augmentation, Dedicated Team, Web Development, Mobile Development, Marketplace Development, Ruby on Rails Development, LMS Development, SaaS Development, UI/UX Design, Product Design, Software Engineering, IT Consulting, and AI Development
Locations
Employees at SYNDICODE
Updates
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When it comes to talent, judgment, context, and systems thinking are becoming more valuable than raw execution. Check out my new #AIDigest:
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Semantic data pipelines improve ML performance when deployed on governed, production-grade architectures. We implement data contracts, feature stores, and real-time lineage with SLAs to make that work in practice for our clients → https://lnkd.in/dRwNgSSY
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METR study found that AI tools slowed down experienced engineers by 19% on real-world tasks. That’s a useful provocation, but it’s also a misunderstanding. Read more 👇
Creating software solutions is not about excelling by the line of code. It’s wins by outcomes. And this is where the conversation around AI usually goes wrong. Read more in my new #AIDigest:
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Technical debt isn't bad code. It's short-term decisions that become permanent. At Syndicode, we tackle technical debt by understanding the system first, planning changes carefully, and modernizing foundations without disrupting the product. The slides show how this approach worked in the Fuzu project. Full case study: https://lnkd.in/eK6vBmhj
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When you build an AI app, logic depends on data quality, feedback loops, and ongoing learning. In other words, it’s unpredictable. At Syndicode, we structure AI development so the product does what you need it to do, in a way you can measure. Learn more about our approach to building AI applications: https://lnkd.in/dii6NNhE
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Cloud cost optimization isn’t about cutting usage. It’s about designing smarter systems. This is how we approach cloud cost optimization at Syndicode. If cloud costs or complexity are becoming a problem, our cloud development services can help: https://lnkd.in/eD6NdHds
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The biggest risk of AI isn’t technical failure. It’s building the wrong thing. How does this happen? Poor data, unclear objectives, and unrealistic expectations. More on the risks of AI and how to avoid them: https://lnkd.in/ezbdBQHw #AIsoftwaredevelopment
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AI development costs should be estimated by first defining what problem AI should actually solve. That’s what makes estimates accurate. Here’s how we approach cost estimation at Syndicode: https://lnkd.in/di9yHGnw
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A good web app architecture is about choosing foundations that match your product needs. This table is a quick starting point. For more details, read the guide: https://lnkd.in/dRY4a4wH
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