AI Native Orgs ยท Writing https://ainativeorgs.com/writing The reading list on software factories, organised by the four pieces: harness, agents, context layer, validation layer. en-GB Tue, 01 Sep 2026 00:00:00 GMT We may be asking the wrong question about AI and software engineering. https://www.linkedin.com/feed/update/urn:li:activity:7500503461633871872/ https://www.linkedin.com/feed/update/urn:li:activity:7500503461633871872/ Tue, 01 Sep 2026 00:00:00 GMT Operating model Don't ask whether AI can make engineers more efficient. Ask how engineers can make AI more effective. That changes the role of the engineer. When your CEO asks why you still need a full engineering team if AI is writing all the code, show them this. https://www.linkedin.com/feed/update/urn:li:activity:7469964716413583360/ https://www.linkedin.com/feed/update/urn:li:activity:7469964716413583360/ Tue, 09 Jun 2026 00:00:00 GMT Operating model Code is becoming the new assembly language. When AI writes the code, your primary task is no longer syntax. It is context and validation. The reality of building AI-native engineering teams: the talk at Namma Yatri. https://www.linkedin.com/feed/update/urn:li:activity:7463083732619386880/ https://www.linkedin.com/feed/update/urn:li:activity:7463083732619386880/ Thu, 21 May 2026 00:00:00 GMT Operating model The build curve has collapsed. Execution is no longer the bottleneck; deciding what to build and how to take it to market is. The full deck is linked from the post. The IDE as we know it is dying. https://www.linkedin.com/feed/update/urn:li:activity:7450168449206743040/ https://www.linkedin.com/feed/update/urn:li:activity:7450168449206743040/ Wed, 15 Apr 2026 00:00:00 GMT Harness The primary function of the IDE is no longer editing. It is becoming mission control: plan, hand the context to an agent in the cloud, review the pull request. I built the same landing page three times just to test one thing: how much can I step away from the keyboard? https://www.linkedin.com/feed/update/urn:li:activity:7448070431925886976/ https://www.linkedin.com/feed/update/urn:li:activity:7448070431925886976/ Thu, 09 Apr 2026 00:00:00 GMT Harness Autonomy in agentic software engineering isn't a toggle switch. It's a spectrum, from an agent that keeps asking permission to one running in a remote sandbox. I gave two agents the exact same task, same model, same codebase. One produced better code. https://www.linkedin.com/feed/update/urn:li:activity:7445896554579763200/ https://www.linkedin.com/feed/update/urn:li:activity:7445896554579763200/ Fri, 03 Apr 2026 00:00:00 GMT Agents Both delivered working code. Then I diffed the branches and found four differences that mattered, and my first instinct about why was completely wrong. Anthropic leaked 500K lines of Claude Code. The real insight isn't the mistake, it's what followed. https://www.linkedin.com/feed/update/urn:li:activity:7444981680442064897/ https://www.linkedin.com/feed/update/urn:li:activity:7444981680442064897/ Wed, 01 Apr 2026 00:00:00 GMT Harness Code itself is no longer the competitive advantage. Your real moat is your system design: data loops, feedback mechanisms, iteration speed. The CI/CD pipeline is now part of the security boundary. My new entertainment isn't Netflix or YouTube. It's watching a long-running autonomous AI agent build things. https://www.linkedin.com/feed/update/urn:li:activity:7434500401388847104/ https://www.linkedin.com/feed/update/urn:li:activity:7434500401388847104/ Tue, 03 Mar 2026 00:00:00 GMT Agents If you lead a team or a company and you haven't experienced this yet, you are making crucial decisions about AI from the outside looking in. The primary artifact is no longer code. https://www.linkedin.com/feed/update/urn:li:activity:7434165401422540800/ https://www.linkedin.com/feed/update/urn:li:activity:7434165401422540800/ Mon, 02 Mar 2026 00:00:00 GMT Context layer In an AI-native model, code is disposable. The true artifact is the context: the spec, the architecture, the past review comments, the trade-offs. If you aggregate all your sprints into a single curve, the fat middle used to be "building." Not anymore. https://www.linkedin.com/feed/update/urn:li:activity:7432635543672250368/ https://www.linkedin.com/feed/update/urn:li:activity:7432635543672250368/ Thu, 26 Feb 2026 00:00:00 GMT Operating model AI has compressed the middle phase. The biggest unknowns have shifted to the edges: what exactly do we build, and once it's built, how do we sell it? The secret to building AI-native products has nothing to do with your tech stack. https://www.linkedin.com/feed/update/urn:li:activity:7432274805372125185/ https://www.linkedin.com/feed/update/urn:li:activity:7432274805372125185/ Wed, 25 Feb 2026 00:00:00 GMT Operating model AI-native products can only be built by AI-native teams, and an AI-native team is a group of AI-native individuals: people who use AI to make their own lives better. What do you do when your AI IDE says "All Tests Passed", but you can see failing tests? https://www.linkedin.com/feed/update/urn:li:activity:7420671408390938624/ https://www.linkedin.com/feed/update/urn:li:activity:7420671408390938624/ Sat, 24 Jan 2026 00:00:00 GMT Validation layer AI agents can behave like humans under pressure, preferring a clean story over uncertainty, unless you force a verification contract. Contracts, not vibes. Agile isn't broken. But in services teams, it's often applied too early. https://www.linkedin.com/feed/update/urn:li:activity:7420136333744070656/ https://www.linkedin.com/feed/update/urn:li:activity:7420136333744070656/ Thu, 22 Jan 2026 00:00:00 GMT Operating model Forward deployment, then rapid prototyping, then agile delivery. Agile depends on feedback loops that don't exist on day one of a services engagement. AI-first development is overrated. (At least in most production systems.) https://www.linkedin.com/feed/update/urn:li:activity:7414989043341488129/ https://www.linkedin.com/feed/update/urn:li:activity:7414989043341488129/ Thu, 08 Jan 2026 00:00:00 GMT Operating model Brownfield systems don't need less AI. They need different scaffolding: context carving before generation, architecture stabilisation first.