Introduction

Getting faster isn’t the same as getting better.

Your team ships more every week. Nobody can tell yet whether the work is improving.

[write me a short note]

Work with me

Most teams are somewhere in the middle.

20%

already have agents doing real work unsupervised

60%

using AI as a faster autocomplete

20%

holding back, usually for good reasons

The gap isn’t effort. It’s that nobody tells the middle sixty percent what good looks like. My job is moving them, without losing the twenty percent who are right to be cautious.

  • Keynotes and talks

    What is actually changing in engineering, and what it means for the room.

  • Team workshops

    Three days, hands on, with your codebase and your tickets.

  • Advisory

    Ongoing, for leaders making this shift at org level. A small number at a time.

Tell me where your team sits. The first coffee is on me.

Track record

Where I have done this.

  • Taleemabad
  • Sastaticket.pk
  • Novo Nordisk
  • Contour Software
  • Arbisoft
  • Metamorphic AI
  • LUMS
  • Google Developer Expert (GDE)

Writing

What I am thinking about.

[read everything on Substack]

Podcast

KarachiWalaDeveloper.

  • The Shifting Role of the Developer: From Writing Code to Writing Specs
    Have you ever asked an AI to build something, only to realize it built the exact wrong thing? AI is incredible at generating code, but it lacks human judgment. In this episode, I share the story of building an internal AI coaching bot called "Jugnu." My first attempt failed completely because I relied on the AI's judgment instead of doing the research myself. I quickly learned that the most successful AI developers spend 90% of their time researching, planning, and writing specs before they ever type a prompt. Join me as we explore how the role of the software engineer is merging with the product manager, the death of "un-used software," and the exact frameworks and tools (like NotebookLM and Superpowers) you can use to master AI-assisted development.
  • Stop Reviewing Code, Start Reviewing Tests: TDD in the Age of AI
    As AI agents become capable of rewriting entire C compilers and Next.js repositories in days, the value of software is shifting away from the code itself. If LLMs write probabilistic code, how do you guarantee deterministic results? The answer: Tests. In this episode, we argue that developers need to stop agonizing over AI-generated implementation code and instead double down on writing, reviewing, and curating rigorous test suites. Learn why some open-source projects are actually closing their test repos, and how adopting an Architect mindset will unlock true AI autonomy in your workflow.
  • From Coder to Architect: The Power of the Producer Mindset
    The role of the developer is changing. In this episode, we discuss how to stop being a "consumer" of AI prompts and start becoming a "producer" of AI systems. By shifting your focus from writing code to designing autonomous loops and persistent architectures, you can move up the ladder of value and start steering the future of software development.
[listen to all the episodes]

Talks

Conferences and community events.

Selected

[all the talks]

About

The rest of it.

I am an engineering and AI leader based in Karachi. Right now I am helping Taleemabad, the largest ed-tech in Pakistan, scale to thousands of schools and millions of children, and rebuilding how the organisation itself works around agents.

I offer free coaching and mentoring sessions on ADPList. When I am not working you will find me cycling, running and swimming, slowly working towards a triathlon.

Reading

  • Scaling People: Tactics for Management and Company Building
    Scaling People: Tactics for Management and Company Building
    author: Claire Hughes Johnson
    rating: 4
  • The HeART of Laser-Focused Coaching: A Revolutionary Approach to Masterful Coaching
    The HeART of Laser-Focused Coaching: A Revolutionary Approach to Masterful Coaching
    author: Marion Franklin
    rating: 5
  • The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
    The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
    author: Stephen Witt
    rating: 0
  • Thinking In Systems: A Primer
    Thinking In Systems: A Primer
    author: Donella H. Meadows
    rating: 4
[my book reviews]

Elsewhere

Twitter · LinkedIn · GitHub · Instagram · Strava

Archive

[older posts, 2009 to 2013]