Reflections
ChatBotKit Reflections Topics for development
ChatBotKit is a conversational AI platform that helps you build, train, and deploy AI-powered chatbots and virtual assistants for your business.
- Software Has No CeilingHardware is capped by the laws of physics. Software lives in a virtual space with no such limit, which is why its complexity keeps scaling and why going low-level is no escape from AI.
- AI Revived an Old Failed IdeaA precise, unambiguous spec is just code wearing markdown. English-like programming languages have been tried many times and they did not stick for a reason.
- Three Tokens Is Sometimes EnoughLength does not make a prompt better. And even a perfect prompt cannot substitute for the harness that catches an agent when it goes wrong.
- Your Prompt Is Probably Too LongLonger prompts often create more diffusion than clarity. A shorter prompt can put more attention on the few things that actually matter.
- Agent Harnesses Are Quietly HardBuilding a useful agent is not just about the model. The harness around it has to align across context, tools, state, security, and recovery.
- Not Reading Code Is Not a FlexSome developers brag about never reading AI-generated code. That is not progress. It is a role that can no longer justify itself. The human plus LLM combination is the real differentiator, not blind delegation.
- Everyone Is Building Claude CodeThe AI industry is drowning in homegrown coding assistants that are months behind the commercial alternatives. The hard problem was never the tool. It is figuring out what the tool should be building.
- The Iceberg Under Every CodebaseWe only ever see the surface of the software we use. That illusion of simplicity is why people think AI can solve any software problem - and why developer jobs aren't going anywhere.
- Verification Is Easier Than DiscoveryExplores how the P vs NP insight maps onto AI-assisted development and test-driven design, arguing that discovery comes before verification and that AI shifts the bottleneck from writing code to evaluating it.
- Most Code Deserves to DieWhen AI agents make code generation nearly free, the bottleneck shifts from writing to evaluation. The teams that learn to discard code ruthlessly and select with taste will build the best software.
- What Nobody Tells You About Software Maintenance in the AI EraWhile AI can write code faster than ever, software maintenance remains the most challenging and overlooked aspect of software development. Explore why this hidden complexity matters more than ever.
- Why Prompt Engineering Made Me Reach for JSXHow I learned to stop worrying and embrace better tooling.
- Before AI Slop We Had Spaghetti CodeThis article highlights common programming terms that describe coding issues, emphasizing that developers' concerns are rooted in long-standing practices rather than mere resistance to AI.
- A Simplified Approach to Model Context Protocol ServicesMCP Lite proposes a streamlined, declarative, client-centric approach inspired by AI Plugins to significantly simplify integrating external services into the Model Context Protocol ecosystem, reducing developer overhead.