Rajiv Pant

A three-repo architecture for managing public, private, and team AI agent skills with provenance tracking, drift detection, and synthesis merge — the first standard for private skill collections.

Most leaders ask AI for answers.

Five thinking modes for technical practitioners who work with AI agents daily.

22 open-source Agent Skills encoding synthesis coding and synthesis engineering methodology.

AI productivity gains flow to employers while workers get more work for the same pay.

Synthesis merging goes beyond conflict resolution.

When AI context files grow to 1,000+ lines, they degrade the collaboration they were built to support.

I built a code review runbook to find problems.

Frederick G.

I published a 900-check code review runbook.

My AI assistant argued for prevention, then implemented detection.

Standard merge workflows break down for synthesis-coded projects.

Some of my friends from Delhi think my daily fitness training is bodybuilding.

AI-generated summaries corrupt a knowledge base when derivative text is promoted to source.

Orthogonal verification for AI-assisted development: check results through a mechanism independent of the one that produced them, and at every pipeline stage.

Richard Socher built the research that powers today's AI coding assistants and then described exactly how organizations should use them.

Bidirectional learning in synthesis coding: humans teach AI through context, prompts, and review; AI teaches back by surfacing blind spots and edge cases.

Tracing the intellectual thread from Richard Socher's compositional representations through DecaNLP to the systems-level engineering challenges of human-AI software development.

Richard Socher's research arc — from GloVe to DecaNLP to 'managers of AI' — maps directly onto the principles behind synthesis coding.

Most code review checklists are either too shallow or too heavy.

Richard Socher identified the skills that matter in the AI era: delegate clearly, specify requirements, build trust.

There's a lot of anxiety about AI making engineering skills obsolete.

LangChain published Agent Engineering on December 9.

Building a retrieval-augmented generation system revealed patterns the tutorials don't cover.

When tools interact, implicit assumptions break silently.

Why AI assistants forget what you told them, and practical strategies to prevent it.

When you're running multiple AI sessions in parallel, you're not using a tool anymore — you're managing a team.

A lightweight project management system for human-AI collaboration.

Why the most effective AI-assisted projects start with humans writing code by hand.

Synthesis engineering is a professional discipline for human-AI collaboration on complex work.

Understanding Claude's context architecture changes how you work with it.

While cleaning up old files, I found a password-protected Word document from 1999.

Four engineers shipped a #1 Play Store app in 28 days using AI agents.

A practical guide for CTOs and engineering leaders: cost analysis, team rollout strategy, training curriculum, and metrics for adopting synthesis coding at s...

A theater reviewer wrote about my son's performance.

What separates synthesis coding from vibe coding isn''t the tools — it''s the decisions.

The answer is not "just let the model do it" — and code matters more, not less, as AI gets dramatically better Last spring, my son Fitz and I had an aftern...

Why the conversation isn''t about which approach is better — it''s about knowing when to use each This blog post is for software engineers, engineering lea...

I wrote this blog post for software engineers, architects, and technical leads.

In 2008, I released a WordPress plugin called Blogroll Links.

Synthesis coding treats both the project and the practice as evolving systems.

An open-source framework for creators and reviewers — systematic patterns that separate professional AI-assisted writing from AI slop, plus prompts you can use with any LLM to check your own work.

AI can generate code faster than you can read it.

AI-generated code should meet the same quality standards as human-written code — and in practice the bar should be higher, because AI scales the cost of letting bad code through.

AI can write code faster than any human.

Why the most effective engineering organizations are developing systematic approaches that go beyond vibe coding — and why this practice needs a name This ...

From individual practice to organizational capability: a systematic approach to human-AI collaboration in professional software development This blog post ...

A hands-on guide to practicing synthesis coding (a.k.a. synthesis engineering) with concrete examples, real workflows, and lessons from production systems ...

AI's real threat is not job loss or conscious superintelligence.

Open source is the most reliable engine of compounding innovation in software.