Enhancing Developer Experience

🔊Software engineering is dead. Long live software engineering. 🔊 OpenAI just launched Codex agents - cloud-based software agents that don’t just write code, they complete tasks. If you’re chronically online like me, your first reaction might’ve been an eye-roll.🙄 Another AI coding assistant? Get in line. For the last few years, AI tools for devs have fallen into 3 buckets: 1️⃣ Autocomplete tools like Copilot. Fast, helpful, but context-blind and execution-dumb. 2️⃣ Natural language code translators. Can explain or write snippets, but they can’t run anything. 3️⃣ Autonomous dev agents. Promising demos (Devin, Sweep), but not yet deployable at scale. Codex is different. It runs in a sandboxed execution environment, reads your repo, executes the task, validates results, and returns a diff. Not a suggestion - a deliverable. It introduces two primitives: ▶️ Code: Give it a scoped task. (“Add pagination to this table.”) ▶️ Ask: Query your repo. (“How is this error handled across routes?”) Each job runs independently, logs its actions, and returns outputs you can review, rerun, or roll back. This isn’t a tool. It’s a system. Pair that with OpenAI’s rumored acquisition of Windsurf - a company building AI-native IDEs and developer environments - and the picture sharpens: Codex handles execution. Windsurf handles integration. If Codex is the contractor, Windsurf is the construction site.Together, they’re going after the entire SDLC. For OpenAI, this both a defensive move (avoid becoming a commoditized model vendor) and an offensive one (own the agent runtime, IDE, and dev surface). So what does this mean for engineers? Not extinction, evolution. 🤔 Less typing. More thinking. From writing code → specifying behavior. From debugging syntax → debugging logic. 💀 Boilerplate gets eaten. Tests, scaffolds, YAML configs - agent territory now. The ladder for entry-level engineers just lost a few rungs. 💯 The new 10x engineer? A conductor. Not faster alone, but better at orchestrating agents and humans. Prompter, validator, architect. 🏗️ System design becomes the baseline. You’ll still need engineers - but they’ll need to think like staff engineers earlier, with deeper context and higher-leverage tasks. If you're wondering whether this replaces engineers, the answer is: highly unlikely. It just changes what they do, how they’re hired, and what “good” looks like. Every leap in developer productivity doesn’t shrink the workforce - it multiplies the software we write. AI doesn't kill software engineering, it just kills the illusion that writing the code was ever the hard part.

RIP coding? OpenAI has just introduced Codex — a cloud-based AI agent that autonomously writes features, fixes bugs, runs tests, and even documents code. Not just autocomplete, but a true virtual teammate. This marks a shift from AI-assisted to AI-autonomous software engineering. The implications are profound. We’re entering an era where writing code can be done by simply explaining what you want in natural language. Tasks that once required hours of development can now be executed in parallel by an AI agent — securely, efficiently, and with growing precision. So, what does this mean for human skills? The value is shifting fast: → From execution to architecture and design thinking → From code writing to problem framing and solution oversight → From syntax knowledge to strategic understanding of systems, ethics, and user needs As Codex and other agentic AIs evolve, the most critical skills will be, at least for SW tech roles: • AI literacy: knowing what agents can (and cannot) do • Prompt engineering and task orchestration • System design & creative problem solving • Human judgment in code quality, security, and governance It’s a new world for solo founders, tech leads, and enterprise innovation teams alike. We won’t need fewer people. We’ll need people with new skills — ready to lead in an agent-powered era. Let’s embrace the shift. The real opportunity isn’t in writing code faster — it’s in rethinking what we build, how we build, and why. #AI #Codex #FutureOfWork #SoftwareEngineering #AgenticAI #Leadership #AIAgents #TechTrends

Developer happiness is no soft metric; it has a direct impact on productivity and retention. Yet, many enterprises focus purely on output numbers, missing the deeper causes of disengagement. Unhappy developers can be around 31% less productive and are twice as likely to leave, with replacement costs running between £30K–£50K+. Despite this, few organisations routinely measure or prioritise developer happiness alongside established metrics like DORA and CORE 4. Here’s a practical approach that’s working for us: 🎯 Measure happiness alongside Core 4 & DORA using DX snapshot surveys, focus groups, and regular 1:1 conversations. This blends data with genuine sentiment. ⚙️ Prioritise fixes that matter most: reduce toil through automation, provide modern tooling, clarify career paths, and recognise genuine contributions. 🔄 Build a continuous feedback loop by identifying pain points, fixing what counts, measuring outcomes, and then adapting. ⚠️ Pushing for more output without supporting well-being often backfires, reducing overall efficiency. Our low attrition and strong culture at Tesco Bengaluru as reported in this article (https://lnkd.in/eED7uRkS) shows that investing in developer happiness delivers real, lasting value. It’s not about perks; it means giving developers autonomy, mastery, purpose, and psychological safety. As we develop our developer experience strategies globally, focusing on happiness as a leading indicator rather than an afterthought makes a real difference. Supporting our teams this way helps success come naturally. Well done to everyone contributing to this journey across Tesco Technology and beyond! Looking forward to continuing to learn and improve together. 🎉👏 #dx #tescotechnology #leadership #SoftwareEngineering #Technology #devex

AI-assisted coding isn’t just about autocomplete anymore. It’s becoming a full lifecycle - from planning to building to reviewing. Developers are no longer just writing code, they’re orchestrating systems of agents that generate, test, and refine it. The shift is from “write code faster” to “build and ship systems end-to-end.” Here’s how the generative programmer stack is evolving 👇 𝗕𝗨𝗜𝗟𝗗 - 𝗖𝗼𝗱𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 Full-Stack App Builders: Turn ideas into working applications quickly by generating frontend, backend, and integrations in one flow. CLI-Native Agents: Work directly from the terminal to generate, edit, and execute code with tight control and speed. IDE-Native Agents: Integrate inside development environments to assist with coding, debugging, and real-time suggestions. Async Cloud Coding Agents: Run tasks in the background - writing, testing, and iterating on code without blocking your workflow. 𝗣𝗟𝗔𝗡 - 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 & 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 Spec-first Tools: Start with structured specifications that define what to build before writing any code. Ask / Plan Modes: Break down problems, explore approaches, and validate logic before jumping into implementation. Design-to-Code Inputs: Convert designs or structured inputs into working code, reducing manual translation effort. 𝗥𝗘𝗩𝗜𝗘𝗪 - 𝗥𝗲𝘃𝗶𝗲𝘄, 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 & 𝗩𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 Code Review Agents: Automatically analyze code for issues, improvements, and best practices before deployment. Testing & Verification: Generate and run tests to ensure reliability, correctness, and stability across different scenarios. Benchmarks: Measure performance and quality using standardized evaluation frameworks. What this means: Coding is shifting from manual effort to guided execution. The developer’s role is moving toward direction, validation, and system design. The edge is no longer just writing better code. It’s knowing how to use these tools together to ship faster and more reliably. Which part of this workflow are you using AI for the most today?

I’ve been reflecting on my conversation with Nader Dabit currently building developer communities at Eigen Labs, and formerly with Amazon Web Services (AWS) and The Graph. What struck me most was how many of his insights we have been actively applying while building the developer + founder community at soonami.io GmbH. Here are the top takeaways I’ve been leaning on 👇 1/ Building a developer community is a marathon, not a sprint. Developers want to go where there’s traction, but traction doesn’t happen overnight. It takes time, trust, and a lot of value creation. 2/ Transparency builds trust. Be open about the trade-offs of your platform. No tech is perfect. Developers appreciate honesty over hype. If they know what they’re working with, they can make informed decisions. 3/ Help developers whether they use your product or not. The best DevRel teams provide value beyond their own ecosystem. Answer questions, share knowledge, and be part of the broader developer journey. This goodwill always comes back. 4/ Meet developers where they are. Not every developer is hanging out on Twitter. Find them in Discord, Telegram, GitHub, hackathons, or niche forums. Engage where they feel comfortable, not where it's easiest for you. 5/ Hackathons: Not just about numbers, but long-term impact. Instead of attracting bounty hunters who leave after a quick win, structure your hackathons to support serious builders. Offer milestone-based funding, mentorship, and ecosystem support. 6/ Long-term DevRel isn’t about short-term metrics. It's not just about tracking engagement. It’s about relationship-building over months (or years). DevRel should create a ripple effect—one great project inspires others. 7/ Cross-functional collaboration is key. Building a developer community isn’t just a DevRel task. Marketing, engineering, and leadership must align to provide the best support for developers. 8/ One strong builder > 100 inactive users. It’s not about quantity. Even if just one project from your hackathon or community scales, it can change the entire ecosystem. 9/ Want to break into DevRel? Here’s Nader’s advice: 🔹 Deeply understand the product 🔹 Build relationships with internal teams 🔹 Focus on providing genuine value 10/ Final takeaway: Developer communities thrive on authenticity, support, and long-term thinking. It’s not about pushing a product, it’s about empowering people to build. What’s your biggest takeaway from this? Let’s discuss! 

I spent some time reading about what Codex has quietly become. And it’s not what most people think. This isn’t just an AI that helps you write code faster. Codex is starting to look like a control room for work. You can spin up multiple agents, give them different tasks, let them run in parallel, and step in only when it matters. Some of these tasks can run for hours or even days. You’re not prompting anymore. You’re supervising. One detail that really clicked for me: multiple agents can work on the same repo without stepping on each other. That sounds small, but anyone who’s dealt with merge conflicts knows how big that is. What else stood out: It fits into existing CLI and IDE workflows instead of forcing a new one You can extend it with skills and automations, not just code generation Security isn’t an afterthought. Agents ask before doing anything risky You can change how it talks to you without changing what it can do You describe the goal. Agents do the work. You review, guide, and decide. Feels like a very intentional move by OpenAI toward multi-agent, long-running workflows instead of one-off prompts. Curious to see how this changes day-to-day work for engineers and data teams. #Codex #AIAgents #GenAI #DeveloperExperience #Automation #SoftwareEngineering Follow Sneha Vijaykumar for more... 😊

One of the most effective ways we've built product ownership and accountability at Human Managed is also the most straightforward: put developers in the room with customers throughout the build lifecycle -- during discovery, POC, and demos. Too often developers get handed requirements, rarely witnessing the impact of what they build. We've been there before. In setups like that, teams optimized for velocity rather than value, decisions got made without real context, and the product was never quite right. When we shifted our engineers to hear the problem firsthand -- to see the friction, feel the moments of customer delight vs. confusion... When they have to answer customers' questions directly... When they experience their demo land (or miss) -- it shifts the mindset from features to outcomes. I shared this in a recent Forbes Technology Council expert panel on developer ownership -- and am glad to see it included among other practical ways to foster a culture of autonomy and accountability. 📸: a snap from a recent customer session -- our dev team, on-site, absorbing user feedback firsthand. 👇 Link to the article in the comments.

The developer community is a trust economy. Most companies still treat it like an attention economy — buy ads, sponsor booths, blast job posts. Here's what actually works: At WeAreDevelopers, we've watched hundreds of companies try to reach developers. The ones that build lasting brand equity share one trait: they show up consistently and add value before asking for anything. The companies that fail think visibility = relationship. It doesn't. → Developers remember who taught them something useful → They forget who paid for the banner ad → They actively avoid brands that feel transactional This is why community is the highest-ROI channel most enterprises are systematically underinvesting in. The developers in our community make purchasing decisions, influence hiring, and recommend tools to their teams. That's not an audience. That's a decision-making network. Smart companies figured this out three years ago. The rest are starting to feel the gap.

I went from PagerDuty’s first engineer to eventually running engineering there. During that time, and now as a startup founder myself, I’ve learned that the success of a tech startup isn't just about the vision, the product, or even the market. It's also about how well your engineering team can turn that vision into reality. If you’re not focusing on your Developer Experience, you are just handicapping your best athletes. If you want to move fast, scale your team, and maintain a competitive edge, DevX should be your focus. Here's why 👉 👉 : 1. DevX improves productivity: A good developer experience focuses on keeping devs in their flow state - and not getting distracted or blocked waiting for information, for access to tooling, for infrastructure, or for other teams to do something for you. We’re not microprocessors - there’s huge costs to context switching! 💡 2. DevX reduces the cost of scaling: Simplify, simplify, simplify. As your team grows, you’ll find HUGE leverage in just simplifying wherever you can. You’ll want to minimize the number of languages, frameworks, tools, tech stacks, etc, that your developers need to know to get their job done - this will keep their cognitive load at reasonable levels, and scaling the team gets much much easier. 📈 3. DevX attracts & retains top talent: The best engineers want an environment that lets them to do their best work. Why hire the best people and then hand them a bunch of toil? Great DevX will help draw top talent to your organization and, more importantly, keep them there. 🌟 If you want to win in today’s ultra-competitive market, you have to cultivate a positive developer experience. DevX needs to be a strategic move eng leadership should make to increase team efficiency, accelerate time-to-market, and ultimately give your product a winning edge.

I’m thrilled to share a comprehensive Azure DevOps Security Guide, meticulously I prepared for community! This guide serves as a critical framework to navigate through the myriad aspects of security like access control, network security, and continuous monitoring within the Azure DevOps environment. 🌐💻 📌 Summary: The guide strategically addresses several key security dimensions including: 🛂 Robust Authentication and Authorization 🛡️ Enhanced Network Security 📝 Refined Code Security 🔄 Consistent Auditing and Review Processes 🔑 Key Highlights Include: Granular Permissions through RBAC Integration with Multi-Factor Authentication (MFA) & Single Sign-On (SSO) Secure Coding Standards and Dependency Security Centralized Identity Management & more... 💡 Aim: The essence of this guide is to foster a culture of continuous improvement and collaboration amongst developers, security teams, and other stakeholders. It will act as a catalyst to ensure the ongoing success of your DevOps projects and shield your organization's pivotal assets. 👉 Table of Contents: Authentication and Authorization Network Security Code Security DevOps Security Regular Auditing and Review Security Configuration Data Recovery Inventory and Asset Management Conclusion Feel free to dive in and explore the detailed insights and best practices for securing your Azure DevOps environments! 💬 Your thoughts, feedback, and additional insights are highly welcomed! #AzureDevOps #SecurityChecklist #CyberSecurity #DevOps #Azure #SecurityGuide #InfoSec #ITSecurity