How to Address Developer Inefficiencies

I’ve noticed a recurring theme in my recent discussions with large organisations.   API friction is a hidden cost centre. And it compounds quietly, every single day.   In most enterprises, developers spend around 3 hours each week dealing with: inconsistent API contracts unclear or custom authentication flows documentation that no longer matches the implementation duplicated services that nobody realised already existed   That’s 20 workdays per developer, per year — before even considering partners, integrators or external ecosystems.   At that point, it’s no longer simply a technical inefficiency. It’s a business and ROI issue. It impacts delivery timelines, onboarding speed, incident recovery, compliance, and customer experience.   During these conversations, leaders often ask: “Okay, but how does standardisation actually help?”   My answer is usually along the following lines: Start with contract-first API design (OpenAPI / AsyncAPI), so design, tests, SDKs and docs all come from the same source of truth. Move to one authentication model (OAuth2 + OIDC) instead of several slightly different ones — it reduces support and integration friction. Generate documentation automatically as part of the build pipeline (if docs can drift, they will drift). Define a few clear conventions for naming, pagination, error structures and versioning — predictability is a performance multiplier. Maintain a shared API catalogue so teams can discover what already exists (otherwise they rebuild it again). And when possible, align with recognised open standards like the work carried out in ETSI TC DATA, which focuses on interoperable data architectures and API patterns for distributed data ecosystems.   This isn’t about adding control or bureaucracy. It’s about removing friction — the kind that slows everything down without anyone noticing it directly.   The outcomes are very tangible: ✅ Faster onboarding of internal teams and partners ✅ Lower long-term integration & maintenance costs ✅ Fewer incidents + smoother change management ✅ Stronger compliance posture ✅ Predictability at scale   If this resonates, comment ROI — I’ll share a simple API Friction Cost Calculator that makes this visible in under 2 minutes.

Systems Thinking: The Productivity Paradox Imagine a riverside town struggling with seasonal flooding. To mitigate, they build higher levees, allowing them to expand housing and businesses into previously flood-prone areas. At first, flooding stops, and the town thrives. But over time, wetlands downstream erode, and floodwaters have nowhere to spread. When a major storm overwhelms the levees, the flooding is worse than ever. More levees and expansion seemed like progress… but the system fought back. Now, imagine a software company struggling with slow delivery. Customers complain. Revenue and reputation are at risk. Executives need a fix. Their answer? Hire more developers. At first, velocity increases. Features ship faster. But soon, delivery is slower than before the new team members were hired. Adding devs was supposed to speed things up (and did, briefly). But… the system fought back. Why Adding Developers Slows Things Down Fred Brooks wrote, “Adding manpower to a late software project makes it later.” Why? Communication grows exponentially. With 5 devs, you manage 10 communication links. With 10, it’s 45. At 20, it’s 190. More meetings, more dependencies, slower decisions. New hires aren't immediately productive. Senior devs have to help with onboarding. As the team grows, more code is written, leading to merge conflicts, longer pull request cycles, and WIP stuck in queues. More teams means unclear ownership, more handoffs, and more rework. What's The Solution? 1) Reduce WIP Too much WIP slows teams down. Before hiring, ask: Are we prioritizing finishing over starting? Can we reduce batch sizes? Can we use Kanban and/or Scrum to improve flow without adding people? 2) Think Structure, Not Size More devs means higher coordination costs. Instead, use Team Topologies. Stream-aligned teams own end-to-end delivery. Enabling teams improve developer focus. Platform teams reduce cognitive load. 3) Automate and Improve Code Quality Don't maximize team size, optimize the pipeline. Faster CI/CD reduces delays, automated testing prevents bug creep, and refactoring improves maintainability. 4) Use Modular Architecture A tightly coupled system slows everyone down. Shift to microservices or modular monoliths (single deployable units), use feature flags for incremental deployment, and apply domain-driven design (DDD) to define team boundaries. 5) Measure Outcomes, Not Headcount Leaders may wrongly assume more developers means more output, but real productivity is about flow efficiency. Instead of team size, track: Cycle time (how long it takes to ship), Deployment frequency (how often we deliver), and Lead time for changes (how fast we adapt). Systems, Not Silos When teams slow down, hiring feels like the obvious fix. But it should be the last resort, not the first instinct. Without systems thinking, hiring may have unintended consequences that ironically make things worse. Rethink how your system works... before the next storm.

Critique this (real) team's experiment. Good? Bad? Caveats? Gotchas? Contexts where it will not work? Read on: Overview The team has observed that devs often encounter friction during their work—tooling, debt, environment, etc. These issues (while manageable) tend to slow down progress and are often recurring. Historically, recording, prioritizing, and getting approval to address these areas of friction involves too much overhead, which 1) makes the team less productive, and 2) results in the issues remaining unresolved. For various reasons, team members don't currently feel empowered to address these issues as part of their normal work. Purpose Empower devs to address friction points as they encounter them, w/o needing to get permission, provided the issue can be resolved in 3d or less. Hypothesis: by immediately tackling these problems, the team will improve overall productivity and make work more enjoyable. Reinforce the practice of addressing friction as part of the developers' workflow, helping to build muscle memory and normalize "fix as you go." Key Guidelines 1. When a dev encounters friction, assess whether the issue is likely to recur and affect others. If they believe it can be resolved in 3d or less, they create a "friction workdown" ticket in Jira (use the right tags). No permission needed. 2. Put current work in "paused" status, mark new ticket as "in progress," and notify the team via #friction Slack channel with a link to the ticket. 3. If the dev finds that the issue will take longer than 3d to resolve, they stop, document what they’ve learned, and pause the ticket. This allows the team to revisit the issue later and consider more comprehensive solutions. This is OK! 4. After every 10 friction workdown tickets are completed, the team holds a review session to discuss the decisions made and the impact of the work. Promote transparency and alignment on the value of the issues addressed. 5. Expires after 3mos. If the team sees evidence of improved efficiency and productivity, they may choose to continue; otherwise, it will be discontinued (default to discontinue, to avoid Zombie Process). 6. IMPORTANT: The team will not be asked to cut corners elsewhere (or work harder) to make arbitrary deadlines due to this work. This is considered real work. Expected Outcomes Reduce overhead associated with addressing recurring friction points, empowering developers to act when issues are most salient (and they are motivated). Impact will be measured through existing DX survey, lead time, and cycle time metrics, etc. Signs of Concern (Monitor for these and dampen) 1. Consistently underestimating the time required to address friction issues, leading to frequent pauses and unfinished work. 2. Feedback indicating that the friction points being addressed are not significantly benefiting the team as a whole. Limitations Not intended to impact more complex, systemic issues or challenges that extend beyond the team's scope of influence.

"My developers feel like they're flying blind." A CTO of a fast-growing fintech company told me recently. CTO: "To test a simple change to one microservice, a developer has to file a ticket with the Infra team to get a test environment configured. It takes 30-45 mins. They lose all momentum." Me: "So they're blocked, waiting on someone else just to do their core job?" CTO: "Yes. And the infra team is drowning in tickets. It's a lose-lose. The alternative is letting developers run the 40-service stack on their laptops, which is impossible." This dependency is a silent killer of productivity and innovation. When it's hard to test, developers take fewer risks, batch changes into massive PRs, and avoid refactoring. The strategic shift is to decouple developers from the underlying infrastructure. Give them a self-service platform where they can create their own isolated sandboxes with a single command or click. By leveraging request isolation in a shared environment: - Developers can instantly create an environment to test their specific microservice. - They get the benefit of the entire backend stack without the complexity of managing it. - The infrastructure team is no longer a blocker and can focus on building the platform. The result is developer autonomy. - Environment provisioning time: From 30+ mins to under 1 minute. - Developer dependency on infra team: Eliminated. - PR size: Decreased by 30% as developers could iterate faster. The CTO’s insight: "We've been trying to solve a developer problem with infrastructure tools. We need to give them a developer-first workflow." How are you empowering your developers to test their changes independently and quickly? #DeveloperExperience #PlatformEngineering #DevEx #EngineeringCulture #Microservices #CloudNative #DevProductivity #EngineeringLeadership

Bad news.  There are no shortcuts to improving developer experience and productivity. You need to put in the work. Companies that make meaningful improvements to the experience and (as a result) productivity of their developers all take the time to deeply understand friction points. Productivity is the byproduct of this work. Before you buy a new tool Before you build a platform  Before you implement a fancy AI solution Deeply understand the friction points by: 1. Speaking to your developers 2. Survey your developers to scale 1. 3. Analyze metrics associated with feedback Taking this approach makes sure you're fixing the right problems. Once you think you know what to do, make sure you're fixing the right problems, right: 4. Sanity check your solution with devs before implementing I talked about this and more with Conor Bronsdon late last year on Dev Interrupted, check out the recording here: https://lnkd.in/emN6SrAh #DeveloperExperience #DevOps

The Hidden Inefficiencies Slowing Your Team Down (solve them before they hold your team back) Hidden inefficiencies can cripple even high-performing teams: → They drain energy, → kill team morale, → and make scaling impossible. Watch for these 10 signs, and fix them fast: 🚩 Repeated work ↳ Teams waste time reinventing workflows. → Creates frustration and slows down execution. Tip: Document SOPs and automate tasks. 🚩 Too many approval layers ↳ Every decision takes longer than it should. → Delays execution and kills agility. Tip: Empower teams with clear decision boundaries. 🚩 Poor knowledge management ↳ Critical info is lost in chats and emails. → Slows onboarding and increases mistakes. Tip: Centralise docs in a searchable database. 🚩 Endless meetings with no outcomes ↳ Teams spend more time talking than doing. → Drains productivity and creates decision fatigue. Tip: Use async updates and set clear meeting goals. 🚩 Inefficient handoffs between teams ↳ Work gets stuck due to misalignment. → Creates bottlenecks and project delays. Tip: Define cross-functional ownership. 🚩 Reliance on outdated tools ↳ Legacy systems slow down daily tasks. → Lowers efficiency and frustrates employees. Tip: Regularly audit and upgrade tech stacks. 🚩Lack of role clarity ↳ Overlapping responsibilities cause confusion. → Leads to duplicated work and missed tasks. Tip: Define clear roles and accountability. 🚩 Overcomplicated reporting ↳ Teams spend hours compiling data manually. → Wastes time that could be used for execution. Tip: Automate reports and focus on key metrics. 🚩 Information silos between departments ↳ Teams work in isolation without alignment. → Causes miscommunication and inefficiencies. Tip: Foster cross-functional collaboration 🚩 No process for continuous improvement ↳ Inefficiencies pile up without change. → Teams burn out fixing the same issues. Tip: Implement Kaizen for continuous improvement. - - - - - Remember: Operational inefficiencies are silent but deadly. Fix them before they slow your team down for good. 💭 Which inefficiency have you seen most often? ♻️ Repost to help others accelerate their careers. ➕ Follow Oliver Ramirez G. for leadership, process improvement and marketing tips.

Developers are often overwhelmed by a deluge of security alerts and vulnerabilities. This can hinder their productivity and create friction between security and development teams. Why does this happen? 1. Developers are bombarded with a constant stream of alerts from various security tools. 2. Security alerts often lack context, making it difficult for developers to understand. 3. A multitude of security tools can create complexity and inefficiency. How can you improve this? 1. Provide developers with a single, unified platform to view and prioritize security issues. 2. Offer clear guidance on how to address vulnerabilities, including code snippets. 3. Integrate security tools into the developer workflow to make security testing seamless. 4. Provide training and resources to help developers understand security best practices. 5. Encourage open communication and feedback between security and development teams. What strategies have you implemented to improve the developer experience in your organization?

I had several calls this week with platform and engineering leaders—and every single one brought up the same issue: 🛑 Shared environments are slowing teams down. Developers are stuck waiting their turn to test, configurations constantly break, feedback loops stretch from hours to days, and keeping staging running 24/7 isn’t cheap. This problem isn’t new. I ran into the same thing at my previous job. It was actually what made me quit and start Okteto. You can fix this by giving developers self-service access to ephemeral environments. The impact? ✅ Faster iteration – test changes immediately, no queuing for staging ✅ Higher confidence – catch bugs in realistic, clean environments ✅ More autonomy – developers unblock themselves, no ops tickets required ✅ Lower costs – spin environments up only when needed, tear them down automatically ✅ Happier teams – less frustration, more flow This is not just a DevX upgrade, you are accelerating your business while reducing overhead. If your team is still fighting over staging, it might be time for a change.

If your dev team is always behind, you don't have a productivity problem. You have an architecture problem. Let me explain. Too many brands try to "solve" delays by: • Hiring more developers • Adding more project managers • Implementing agile ceremonies • Installing new productivity tools And yet… Timelines keep slipping Features are delayed Bugs multiply Everyone's "busy" but nothing's done Why? Because the foundation is flawed. Here's what architecture problems look like in disguise: – Everything feels "harder than it should be" – Systems that are duct-taped together – One change breaks three other things – Features built on top of fragile logic – Codebases no one understands – No clear source of truth If you don't fix the architecture, your team will always feel behind. Always burnt out. Always patching holes in a sinking ship. But when you get the architecture right? Everything changes: – Features ship faster – Bugs drop dramatically – Devs feel empowered, not overwhelmed – You stop reacting and start building And your brand becomes what it should be: A high-performing machine, not a chaotic experiment. Here's the truth: Talent can't outperform bad architecture. Even the best devs can't move fast in a maze of technical debt. And "catching up" is impossible when the system is broken. If your dev team is always behind, don't throw more bodies at the problem. Step back. Fix the architecture. Give your team the system they deserve. You don't need more hustle. You need more clarity.