Third-party MCP servers introduce supply chain risks and potential attack vectors

Third-party MCP servers introduce supply chain risks and potential attack vectors, as malicious actors could inject context that manipulates AI behavior, creating a new class of security vulnerabilities enterprises are not prepared for. Why use generic tools when bespoke solutions cost virtually nothing to create, especially when markets are typically good at bringing down the cost of high-value technologies over time? We become less code producers and more code enablers, and I feel this AI reset is giving me a chance to build skills that will bring me closer to excellence. Hardware design has a certain latency and needs to be iterated upon an irreducible number of times in order to learn things that cannot be deduced logically. Many technologies are hampered by societal factors despite working well technically, raising the question of what humans could do unaided in the next 100 years. Every server and tool consumes precious tokens from your model’s limited context window; adding more tools means less space for actual code and reasoning, creating a fundamental trade-off that most developers do not realize. All code is technical debt, a provocative reframing that suggests the future is not about accumulating codebases but generating disposable, purpose-built applications as needed.