AI Integration and Vibe Coding Rescue
Production grade AI features, vector search, LLM cost control, and rescue work on AI generated codebases.
53 posts · page 2 of 3
- AI Integration and Vibe Coding Rescue
AI Function Calling: The Pattern That Changes Product Surface Area
Function calling is not a feature, it is a re architecture. Done right, it shrinks your UI and grows what the user can do. Done wrong, it is a confused agent that nobody trusts.
11 min read
- AI Integration and Vibe Coding Rescue
AI Feature Flags: Rolling Out Generative Features Safely
Feature flags are the cheapest insurance against an AI feature that breaks production. The discipline takes a day to set up and saves you the week you would lose on a panic rollback.
10 min read
- AI Integration and Vibe Coding Rescue
AI Failover and Fallback Patterns: When Your Model Stops Working
Every AI feature in production will fail. Rate limits, timeouts, model outages, prompt drift. The patterns that keep the product alive when the model is not are smaller and more proven than most teams realize.
11 min read
- AI Integration and Vibe Coding Rescue
AI Evals: How to Test Your AI Features Like Software
Most teams ship AI features without a test suite, then patch by vibes. The teams that stay sane have an evaluation harness that runs on every change. Here is what a real one looks like.
12 min read
- AI Integration and Vibe Coding Rescue
AI Driven Personalization: Real Value or Vanity?
Most AI personalization is a more expensive way to do what cohort segmentation already did. The cases where it actually moves the metric are narrower than the marketing implies. Here is the honest line.
11 min read
- AI Integration and Vibe Coding Rescue
AI Customer Risk: Why Some Buyers Avoid AI Heavy Products
A growing segment of enterprise and consumer buyers actively avoid AI heavy products. Understanding why they avoid them is the difference between selling to them and losing the deal in legal review.
11 min read
- AI Integration and Vibe Coding Rescue
AI Assisted Code Review: A Process That Actually Helps
Most AI code review tools generate noise. The teams that get value from them treat AI as a junior reviewer with specific scope, not as a senior gatekeeper. Here is the process that works.
11 min read
- AI Integration and Vibe Coding Rescue
The Senior Engineer's Job in an AI Coding World
AI coding tools do not replace senior engineers. They replace the part of a senior engineer's job that was never really the valuable part. What remains is harder, more visible, and more consequential than before.
11 min read
- AI Integration and Vibe Coding Rescue
The Honest Limits of AI Code Generation in 2026
What AI code generation tools actually do well, where they reliably fail, and how to use them without building technical debt you cannot see.
12 min read
- AI Integration and Vibe Coding Rescue
The Real Cost of \"Just Use GPT\": A Postmortem
The decision to just call the OpenAI API and ship feels fast in week one. By month six it has produced latency dependencies, surprise invoices, privacy exposure, and a codebase where the AI layer is too tangled to replace. This is what that actually costs.
13 min read
- AI Integration and Vibe Coding Rescue
Why AI Code Comments Lie and How to Read Them Critically
AI generated code comments describe the code that was written, not the code that exists now. Every edit without a comment update is a lie in waiting. Here is how to read them so you do not get misled.
12 min read
- AI Integration and Vibe Coding Rescue
The AI Privacy Audit: Questions Every B2B Customer Will Ask
The privacy questions enterprise buyers ask before approving AI features. What to prepare, what to document, and how to answer honestly.
12 min read
- AI Integration and Vibe Coding Rescue
The Quiet Cost of AI Infrastructure: GPU Reserved Capacity
GPU reserved capacity is the line item most AI-heavy startups discover too late. By the time throughput requirements become visible, the on-demand price is punishing and the reservation lead times are longer than the runway allows.
12 min read
- AI Integration and Vibe Coding Rescue
Why Most AI Roadmaps Fail in the First Quarter
AI roadmaps fail for predictable reasons. The team underestimates the gap between a working demo and a working product, picks vanity features over real ones, and runs out of patience before the second iteration. The pattern is recognizable, and avoidable.
12 min read
- AI Integration and Vibe Coding Rescue
The AI Onboarding Assistant: A High Value SaaS Feature
Why an AI onboarding assistant is one of the highest ROI AI features you can ship, how to build one that works, and the failure modes to avoid.
12 min read
- AI Integration and Vibe Coding Rescue
Voice AI Agents for Service Businesses: A Builder's Guide
Voice AI agents for service businesses are past the demo stage. The gap between a working prototype and a reliable production system is specific and bridgeable. Here is how the build actually goes.
12 min read
- AI Integration and Vibe Coding Rescue
The Failure Modes of Autonomous AI Workflows
The ways autonomous AI workflows fail in production -- and how to design around the failure modes before they become expensive incidents.
12 min read
- AI Integration and Vibe Coding Rescue
Token Economics: Why Your AI Bill Surprised You and How to Fix It
AI API costs are predictable once you understand how tokens work and where they go. Most teams that get surprised by their bill are making the same four or five mistakes, and the fixes are not complicated.
12 min read
- AI Integration and Vibe Coding Rescue
The Privacy and Data Boundary Problem in AI Integrations
Every AI integration creates a new data flow. Most teams build the feature first and draw the boundary second. By then, customer data has already traveled somewhere it should not have, and fixing it costs more than building it right the first time.
12 min read
- AI Integration and Vibe Coding Rescue
The Difference Between an AI Wrapper and an AI Product
What separates an AI feature duct-taped onto a prompt from a product that creates durable value and survives model commoditization.
12 min read
- AI Integration and Vibe Coding Rescue
The AI Output Validation Problem: Why It Is Bigger Than You Think
AI output validation is the engineering problem most teams skip until a hallucination ships to production. Here is the architecture that catches it before users do.
12 min read
- AI Integration and Vibe Coding Rescue
Vector Databases Compared: Pinecone, Weaviate, pgvector, Qdrant
Pinecone, Weaviate, pgvector, and Qdrant each solve vector search differently. The right choice depends on your existing stack, your query patterns, and how much operational overhead your team can absorb.
12 min read
- AI Integration and Vibe Coding Rescue
The Top Five Architectural Failures in AI Assisted Codebases
AI tools write code fast. They also repeat the same five structural mistakes across almost every codebase I inherit. Knowing the pattern lets you catch it before it compounds.
12 min read
- AI Integration and Vibe Coding Rescue
Why AI Generated Code Breaks in Production
AI generated code passes local tests and breaks in production for specific, repeatable reasons. Understanding those reasons is more useful than a general skepticism about the tools.
12 min read
More than blog posts.
The Labs folder has the experiments themselves. The Systems folder has the stack and architecture. The Journey folder has the timeline. Pick whichever pulls you.