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 1 of 3
- AI Integration and Vibe Coding Rescue
The Cost of Running LLMs in Production: A Realistic Budget
LLM API costs in production look different from development costs. Here is how to build a realistic budget before your AI features go live.
7 min read
- AI Integration and Vibe Coding Rescue
The Compliance Risk of AI in B2B SaaS
Adding AI features to B2B SaaS creates compliance questions your customers will ask. Here is how to think through the risk before you ship.
6 min read
- AI Integration and Vibe Coding Rescue
Streaming AI Responses to Users: An Architecture Primer
Streaming AI responses is a UX decision with real backend consequences. Here is how to implement it without making your product unreliable.
7 min read
- AI Integration and Vibe Coding Rescue
Self Hosting LLMs: When It Pays Off and When It Wastes Money
Self-hosting LLMs sounds like cost control but often produces higher total cost and lower capability than commercial APIs. Here is when the economics work, when they do not, and what self-hosting actually requires in practice.
6 min read
- AI Integration and Vibe Coding Rescue
RAG (Retrieval Augmented Generation) for SaaS: When It Helps and When It Does Not
RAG is the right architecture for some AI problems and entirely the wrong approach for others. Here is how to tell the difference and what to build when RAG is the right call.
6 min read
- AI Integration and Vibe Coding Rescue
Prompt Versioning: A Discipline Most Teams Skip
Prompts that are not versioned cannot be improved systematically. Here is how to treat LLM prompts as first-class code artifacts with version control, testing, and deployment discipline.
6 min read
- AI Integration and Vibe Coding Rescue
OpenAI vs Anthropic vs Open Source: A 2026 Founder Decision Framework
Choosing between OpenAI, Anthropic, and open source models for a production AI feature is a real business decision with cost, capability, and dependency implications. Here is the framework for making it deliberately rather than by default.
6 min read
- AI Integration and Vibe Coding Rescue
Multi Agent Systems for SaaS: A Practical Architecture
Multi-agent AI systems are becoming a practical architecture choice for SaaS products. Here is how to design an orchestrator-agent pattern that is reliable, observable, and cost-controlled in production.
6 min read
- AI Integration and Vibe Coding Rescue
Human in the Loop Design: The Pattern Behind Trustworthy AI Features
AI features that users trust are rarely fully autonomous. They are designed with human checkpoints at the moments where the cost of an AI error is high. Here is the pattern and how to apply it.
6 min read
- AI Integration and Vibe Coding Rescue
From AI Demo to AI Product: The Bridge Most Teams Fail to Build
An AI demo takes a weekend. An AI product takes two months and four engineering disciplines the demo never touched. Here is the bridge that most teams fail to build.
12 min read
- AI Integration and Vibe Coding Rescue
Document Understanding in SaaS: PDFs, Spreadsheets, and Beyond
AI has made document understanding suddenly cheap. The teams that ship it well integrate it into specific workflows. The teams that ship it badly produce demos that nobody uses.
12 min read
- AI Integration and Vibe Coding Rescue
Customer Support Automation: Where AI Wins and Where It Loses
AI can handle the repetitive part of customer support. AI cannot handle the part where the customer needs a human to acknowledge them. The right automation knows the difference.
12 min read
- AI Integration and Vibe Coding Rescue
Cursor, Claude Code, Copilot: Which One Wins for Founders in 2026
Cursor for IDE based work. Claude Code for terminal and agent style work. Copilot for the team that lives in VS Code. Each wins a specific shape of work. Most senior engineers use multiple.
12 min read
- AI Integration and Vibe Coding Rescue
Caching AI Responses: Patterns That Cut Costs by 60 Percent
AI bills grow faster than usage when caching is missing. Three caching patterns can cut a typical production AI cost by sixty percent with no perceptible change in user experience.
12 min read
- AI Integration and Vibe Coding Rescue
Building Production Grade AI Features Without an ML Team
You do not need ML engineers to ship great AI features in 2026. You need application engineers who treat AI like any other production system. Here is what that actually looks like.
13 min read
- AI Integration and Vibe Coding Rescue
Building Internal AI Tools for Your Engineering Team
Customer facing AI features get the attention. Internal AI tools for your engineering team often deliver more value per dollar. Here is the playbook for tools your team will actually use.
12 min read
- AI Integration and Vibe Coding Rescue
Building an AI Powered Search That Actually Works
Pure semantic search loses. Pure keyword search loses. Hybrid retrieval with rerank wins. Here is the architecture I use to ship an AI powered search that beats both naive approaches.
13 min read
- AI Integration and Vibe Coding Rescue
Building AI Agents That Do Real Work: Beyond the Demo
Most AI agents look impressive in a demo and fail in production. The agents that survive are scoped, bounded, observable, and integrated with the user's workflow. Here is the playbook.
13 min read
- AI Integration and Vibe Coding Rescue
Building a ChatGPT Style Interface for Your SaaS
A conversational interface looks easy and ships hard. Streaming, citations, function calling, history, evals, and safety. Here is the architecture I use to ship a real chat surface, not a demo.
13 min read
- AI Integration and Vibe Coding Rescue
AI Watermarking and Provenance for Customer Trust
Customers increasingly want to know which words and images in your product were generated by AI. Watermarking and provenance are how you tell them, in a way that earns trust instead of triggering distrust.
10 min read
- AI Integration and Vibe Coding Rescue
AI Powered Dashboards: A Founder's Differentiator
Every B2B SaaS in 2026 has a dashboard. Few of them surface insight. AI powered dashboards are the cheapest competitive moat available to founders shipping in the next twelve months.
11 min read
- AI Integration and Vibe Coding Rescue
AI Integration in SaaS Apps: Real Costs, Challenges, and ROI
AI integration is being sold as a quick win. The real cost picture, including the parts no vendor advertises, is more complicated and more interesting. Here are the numbers I see on actual client engagements.
12 min read
- AI Integration and Vibe Coding Rescue
AI Hallucinations in Customer Facing Products: How to Defend
Hallucinations are not a model bug to wait out. They are a property of language models that production systems have to engineer around. Here are the patterns that contain the damage.
11 min read
- AI Integration and Vibe Coding Rescue
AI Generated Reports for B2B Customers: An Adoption Pattern
AI generated reports are the most underrated B2B feature of 2026. Done right, they reduce churn and create a new sales surface. Done wrong, they produce confident nonsense that customers stop reading.
11 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.