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Model Context Protocol promises seamless AI tool integration, but the reality of shipping it reveals quality issues, configuration hell, and premature standardization that creates more problems than it solves.
$ ls /tags/api
~/tags
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- #deployment [3]
- #innovation [3]
- #prompt-engineering [2]
- #cognitive-development [2]
#api [2]
- #microservices [2]
- #agents [2]
- #system-design [2]
- #event-sourcing [2]
- #clean-code [2]
- #technical-debt [2]
- #lean-strategy [2]
- #neural-networks [2]
- #machine-learning [2]
- #writing [1]
- #content-creation [1]
- #communication [1]
- #prompting [1]
- #hallucinations [1]
- #grok [1]
- #context-window [1]
- #source-control [1]
- #business-strategy [1]
- #design-patterns [1]
- #migration [1]
- #data [1]
- #tools [1]
- #senior-developer [1]
- #testing [1]
- #software-engineering [1]
- #fundamentals [1]
- #code-quality [1]
- #velocity [1]
- #protocols [1]
- #mcp [1]
- #software-architecture [1]
- #naming [1]
- #devops [1]
- #agentic-code [1]
- #it-security [1]
- #efficiency [1]
- #team-culture [1]
- #presentations [1]
- #investing [1]
- #markets [1]
- #behavioral-finance [1]
- #decision-making [1]
- #technology [1]
- #agile [1]
- #lean-startup [1]
- #startups [1]
- #organization [1]
- #scaling [1]
- #fsd [1]
- #automotive [1]
- #lstm [1]
- #bert [1]
- #explainer [1]
- #open-source [1]
- #enterprise [1]
- #software-development [1]
- #mental-health [1]
- #minimalism [1]
- #mastery [1]
- #self-improvement [1]
- #expertise [1]
- #habits [1]
- Published on
Learn how treating APIs as a fundamental business language, combined with robust source control, can transform your organization through lessons from Amazon.