The notes I would have wanted at fifteen.
Long form pieces on shipping production systems, scaling SaaS, hiring engineers, AI integration, and the engineering decisions behind Yashveer Labs.
799 posts · page 16 of 34
- 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
- Backend, APIs, and System Design
Building Internal APIs vs Public APIs: Different Disciplines
Internal APIs and public APIs share a name and almost nothing else. The disciplines are different, the constraints are different, and the worst engineering decisions in SaaS often come from treating them the same.
12 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
- Web App and Frontend Development
Building Forms That Customers Love
Forms are where most product friction lives. Customers do not love forms in general. They love forms that respect their time. Here is how to build the second kind.
12 min read
- SaaS Architecture and Scaling
Building for Operators: Internal Tools That Pay for Themselves
The internal tools your team uses on customer issues are the most underrated asset in a SaaS. Built well, they pay for themselves in a quarter. Built badly, they create a whole class of customer escalations.
12 min read
- Web App and Frontend Development
Building Cinematic Web Experiences Without Killing Performance
Cinematic web experiences are usually slow. They do not have to be. The teams that ship them well treat performance as a constraint on every animation, scene, and interaction. Here is how.
12 min read
- Backend, APIs, and System Design
Building APIs That Survive Five Years of Customer Change Requests
An API that survives five years was designed to. The ones that did not survive were designed for the first customer. Here is the discipline that keeps the API stable while the product evolves underneath it.
12 min read
- Business Automation and Ops
Building an Operations Stack Without an Operations Team
Most early SaaS does not have an operations team. They still have operations work. The right stack lets a small founding team run the business without losing nights to manual work.
12 min read
- MVP Development and Startup Builds
Building an MVP With AI Tools: What Actually Works in 2026
AI tools can compress an MVP timeline from six months to six weeks if you use them well. They can also produce a codebase that takes six months to rescue. The difference is where you let the AI lead and where you do not.
13 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
- Recruiter and Career Positioning
Building a Service Business as a Senior Engineer
A senior engineer can build a profitable service business in six months without quitting their job. Most do not because they treat it as a side hustle. Here is the playbook that actually works.
12 min read
- Security, Auth, and Compliance
Building a Security Program From Zero: A Twelve Month Plan
A real security program is twelve months of compounding decisions. The shortcut is missing the work, not skipping it. Here is the month by month plan I have used with clients to get from zero to a defensible posture.
13 min read
- SaaS Architecture and Scaling
Building a Recommendation Layer Into Your SaaS
Recommendations are easy to demo and hard to make valuable. The right layer surfaces what the user would have wanted next. Here is the architecture, the cost, and the trap most teams fall into.
12 min read
- Recruiter and Career Positioning
Building a Personal Brand as an Engineer Without Becoming an Influencer
A personal brand for an engineer is the work made visible. It is not a follower count. It is the artifact that lets the right people find you. Here is how to build one without becoming an influencer.
12 min read
- Cross Platform and Mobile Development
Building a Mobile App Without Hiring a Mobile Engineer
A web first team can ship a credible mobile app in 2026 without a dedicated mobile engineer. Expo and React Native have closed the gap. Here is the realistic plan, the trade offs, and the limits.
12 min read
- Hiring Developers, Freelancers, and Agencies
Building a Hiring Brand as a Bootstrap Startup
Bootstrap startups cannot outspend on compensation. They can outclass on signal. The hiring brand is what tells the right engineers you exist. Here is how to build one without a marketing budget.
12 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
- Founder Decision Frameworks
Build vs Buy vs Partner: A Founder Decision Tree
Build versus buy is the well known frame. Partner is the option most founders skip. The partner path delivers capability you cannot build and depth you cannot buy. Here is the tree I use to pick.
12 min read
- MVP Development and Startup Builds
Build vs Buy: The Honest Framework Every Startup Founder Needs
Build what is your moat. Buy what is not. Most founders get this backwards. They build the commodity and buy the differentiator. Here is the framework I use with clients to get the call right.
12 min read
- Software Costs and Budgeting
Bug Fixes Are Expensive: Why and How to Budget for Them
A bug fix in production costs five to ten times what it would have cost during development. Most founders budget bug fixing as rounding error. The right founders budget it as a primary line item.
11 min read
- Software Costs and Budgeting
Budgeting for a Two Year Software Build: The Forgotten Line Items
Most software budgets cover development. They forget infrastructure, security, compliance, monitoring, maintenance, and the operational tax of running a real system. The forgotten line items are usually fifty percent of the real cost.
12 min read
- DevOps, Deployment, Infrastructure
Blue Green Deployments vs Canary vs Rolling: A Decision Tree
Rolling for the daily case. Canary when the risk is asymmetric. Blue green when the cost of a bad cutover is unacceptable. Here is the decision tree I use with clients, with the actual trade offs.
12 min read
- Tech Debt and Refactoring
Big Bang vs Gradual Migration: A Decision Map
Big bang migrations look fast and end badly. Gradual migrations look slow and end well. The decision is rarely as binary as the framing suggests. Here is the map I use to pick.
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.