Grading AI Work: But Who Grades the Grader?
Your evaluator is a fallible AI too - and it fails quietly.
Nitin Karandikar
How Do You Grade AI Work That Has No Right Answer?
You can't buy it on faith; you have to make 'good' explicit.
The Death of SAAS (As We Know It)
[This article was originally posted on LinkedIn on Feb 20, 2026.] The impact of AI on SAAS will look very different depending on the time horizon: a near-term repricing of software economics, and a longer-term shift in what “applications” even are. Much has been written lately about the
The Missing Layer in AI Context Graphs
[This article was originally posted on LinkedIn on Jan 16, 2026] Foundation Capital's recent piece on context graphs named something important: Enterprise AIs need systems of record for decisions, not just current state. The decision traces that currently live in Slack threads, deal desk conversations, and inside people&
Your AI Adoption Problem Isn’t About AI
[This article was originally posted on LinkedIn on Sep 10, 2025.] Every B2B software company racing to implement AI today faces the same hidden challenge: their data architecture wasn't built for this. The systems that worked fine for deterministic software start breaking when AI enters the picture, creating
The GenAI Adoption Pattern For B2B That Nobody's Talking About
[This article was originally posted on LinkedIn on Aug 12, 2025.] Introduction: From Shadow IT to Ecosystem Play Much like the worldwide web before it, Generative AI is creating a fundamental shift in how technology companies operate and compete. But unlike previous technology waves that required deliberate adoption decisions, GenAI
GenAI
Onboard Your AI Agent to Your Existing Codebase
Read the code once, and get a map, a review, and a glossary out of a single pass.
The 4 Priorities of a Technology Leader
[This article was originally posted on LinkedIn on Jan 26, 2019.] The life of a software technology leader is an interesting one. There are so many competing priorities, requests (and yes, demands!) coming from the business, your boss, your peers from other functions within the company, and from your own
Just-In-Time: SDLC In The Age Of AI
Is it time to move on from Agile software development to just-in-time development in the age of AI? Agile was built for a world where the bottleneck was teams of humans writing code. So we built the machinery to manage that constraint: sprints, stories, epics, release cycles, and
The Death of SAAS (As We Know It)
The impact of AI on SAAS will look very different depending on the time horizon: a near-term repricing of software economics, and a longer-term shift in what “applications” even are. Much has been written lately about the “death of SAAS”. There are strong opinions around two extreme positions:
Software Needs A New Business Model
Software needs a new business model! What is crystallizing for me is that we may be seeing a regime change in the software industry. The past decade+ saw the huge success of asset-light SAAS companies, with low capital intensity and high human capital requirements. Under those conditions, a bigger
The Missing Layer in AI Context Graphs: Collaboration and Process Flow
Foundation Capital's recent piece on context graphs named something important: Enterprise AIs need systems of record for decisions, not just current state. The decision traces that currently live in Slack threads, deal desk conversations, and inside people's heads - the exceptions, overrides, and precedents that actually govern