Why outdated testing methods slow development

As a client project manager, I consistently found that offshore software development teams from major providers like Infosys, Accenture, IBM, and others delivered software that failed 1/3rd of our UAT tests after the provider's independent dedicated QA teams passed it. And when we got a fix back, it failed at the same rate, meaning some features cycled through Dev/QA/UAT ten times before they worked. I got to know some of the onshore technical leaders from these companies well enough for them to tell me confidentially that we were getting such poor quality because the offshore teams were full of junior developers who didn't know what they were doing and didn't use any modern software engineering practices like Test Driven Development. And their dedicated QA teams couldn't prevent these quality issues because they were full of junior testers who didn't know what they were doing, didn't automate tests and were ordered to test and pass everything quickly to avoid falling behind schedule. So, poor quality development and QA practices were built into the system development process, and independent QA teams didn't fix it. Independent dedicated QA teams are an outdated and costly approach to quality. It's like a car factory that consistently produces defect-ridden vehicles only to disassemble and fix them later. Instead of testing and fixing features at the end, we should build quality into the process from the start. Modern engineering teams do this by working in cross-functional teams. Teams that use test-driven development approaches to define testable requirements and continuously review, test, and integrate their work. This allows them to catch and address issues early, resulting in faster, more efficient, and higher-quality development. In modern engineering teams, QA specialists are quality champions. Their expertise strengthens the team’s ability to build robust systems, ensuring quality is integral to how the product is built from the outset. The old model, where testing is done after development, belongs in the past. Today, quality is everyone’s responsibility—not through role dilution but through shared accountability, collaboration, and modern engineering practices.

A conversation between a QA lead and a client related to test automation. QA Lead: Good morning! I'm excited to talk to you about an important enhancement to our testing strategy: test automation. Client: Hello! I've heard a bit about test automation, but I'm not sure how it fits into our current process. We've been doing fine with exploratory testing, haven't we? QA Lead: You're right, our exploratory testing has been effective, but there's a key area where automation can greatly help. Consider how our development team typically takes two weeks to develop a new feature, and then our testers spend a week testing it. As our software grows with more features, exploratory testing becomes a bottleneck. Client: How so? QA Lead: Well, with each new feature, our testers aren't just testing the new functionality. They also need to ensure all the previous features are still working — this is called regression testing. With exploratory testing, the time required for this grows exponentially with each new feature. Client: I see. So, testing becomes slower as our software grows? QA Lead: Exactly. For instance, by the time we reach feature number 15, testing could take much longer than it did for the first feature, because testers have to cover everything we've built so far. Client: That would slow down our entire development cycle. QA Lead: Right, and this is where test automation comes in. By automating repetitive and regression tests, we can execute them quickly and frequently. This dramatically reduces the time required for each testing cycle. Client: But does this mean we're replacing exploratory testing with automation? QA Lead: Not at all. Test automation doesn't replace exploratory testing; it complements it. There will always be a need for the human judgment and creativity that exploratory testers provide. Automation takes care of the repetitive, time-consuming tasks, allowing our exploratory testers to focus on more complex testing scenarios and exploratory testing. Client: That sounds like a balanced approach. So, we speed up testing without losing the quality that exploratory testing brings? QA Lead: Precisely. This combination ensures faster release cycles, maintains high quality, and keeps testing costs under control over the long term. It's a sustainable approach for growing software projects like ours. Client: Understood. Implementing test automation seems like a necessary step to keep up with our software development. Let's proceed with this strategy. QA Lead: Excellent! I'm confident that this will significantly improve our testing efficiency and overall product quality. #testautomation #exploratorytesting #regression #QA #testing

𝐃𝐞𝐥𝐞𝐭𝐞 10% 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐭𝐞𝐬𝐭 𝐜𝐚𝐬𝐞𝐬 𝐚𝐧𝐝 𝐫𝐞𝐥𝐚𝐭𝐞𝐝 𝐜𝐨𝐝𝐞 𝐞𝐯𝐞𝐫𝐲 𝐲𝐞𝐚𝐫. 𝐘𝐞𝐬, 𝐝𝐞𝐥𝐢𝐛𝐞𝐫𝐚𝐭𝐞𝐥𝐲. Most 𝐭𝐞𝐬𝐭 𝐬𝐮𝐢𝐭𝐞𝐬 𝐚𝐧𝐝 𝐜𝐨𝐝𝐞𝐛𝐚𝐬𝐞𝐬 𝐠𝐫𝐨𝐰 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐢𝐧𝐞𝐫𝐭𝐢𝐚. We keep tests that cover code that is no longer used, resulting in an expensive maintenance tax on features that deliver zero customer value. This isn't just about cleaning up; it's a strategic simplification exercise that directly boosts velocity. 𝐓𝐡𝐞 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐂𝐨𝐬𝐭 𝐨𝐟 𝐈𝐧𝐞𝐫𝐭𝐢𝐚: 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞 𝐃𝐫𝐚𝐠: Every unnecessary test case slows down your CI/CD pipeline and requires updates for framework changes. 𝐌𝐢𝐬𝐚𝐥𝐥𝐨𝐜𝐚𝐭𝐞𝐝 𝐁𝐮𝐝𝐠𝐞𝐭: Engineering hours spent maintaining obsolete code or redundant tests are hours not spent building the next innovation. We use 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐃𝐚𝐭𝐚 to proactively identify dead weight. By correlating real user journeys and code execution logs with our test cases, we can flag and retire tests that cover features users never touch. This ensures our quality efforts are focused exclusively on mission-critical paths. Radical simplification is the fastest path to sustainable growth and speed. What piece of test cases or code are you maintaining today that you know should have been retired last year? #testing #engineering #GAiNSS #observability

Projects with a heavy manual QA process tend to be projects where QA is a bottleneck and point of frustration. Manual QA has its place, but I see it misused as a knee-jerk reaction to buggy production releases. Often mandated by somebody fully removed from the technical team. If your team is releasing buggy code, it's great to catch it in QA, but it's better to catch it before it leaves the developer's machine. Here are some alternative approaches to take: ❓Ask your team what they need. Do they feel pressured or lack time for thorough testing? 📊 Track test coverage. Set a baseline. Code reducing test coverage should be the exception, not the norm. 📒 Create a habit of writing a test when new bugs are found. Ensure you never see that bug again. 😬 Are there well known problem areas in the code? Give your team some time to fix them (and write tests for them). 🤖 Automated testing tools like Playwright and Selenium are great. If unit tests aren't enough, automate the manual QA. 🕵️♀️ Use an error alerting service like Sentry. Be the first (or second) to know. Don't wait for a user to tell you something is broken. ⏮️ Get good at rollbacks. A stress-free rollback process turns emergencies into minor hiccups. Some of these changes may feel like they slow development down initially, but the benefits quickly outweigh the costs. Over time, you’ll build a process that gains momentum effortlessly. More like gliding smoothly on a skateboard than struggling to push down a bumpy gravel path. 🛹

Transform Your QA Strategy with Shift Left for Quality Product Delivery !! Delivering high-quality products efficiently remains a significant challenge in software development. Traditional methods often push testing to the end of the development phase, leading to delays, increased costs, and higher risk of defects. Shift Left advocates for integration of testing earlier in the development lifecycle. Instead of waiting for the development phase to conclude before initiating testing, Shift Left encourages testing activities to begin as early as the requirement and design stages. Lets see some of the benefits of using Shift left in your projects: 1. Early Detection of Defects and Faster Feedback: Identifying bugs and issues at the initial stages of development is significantly more efficient than catching them later. This leads to shorter feedback loops resulting in quicker and cheaper fixes. 2. Improved Collaboration: By involving QA early, teams can ensure that quality is a shared responsibility, leading to better communication and a unified approach to problem-solving. 3. Cost Efficiency: The cost of fixing a defect increases exponentially as it progresses through the development stages. 4. Faster Time-to-Market: As the defects are identified and resolved earlier, the development process becomes more streamlined and enabling faster delivery of high-quality products to market. Now lets see few ways to implement shift left into our projects: 1. Automate as much as possible: Automated tests can be run early and often, providing immediate feedback thereby reducing the time and effort required for manual testing. Improve the unit test coverage, integration tests, contract test, end to end regression tests. 2. Exploratory Testing: Exploratory testing complements automated testing by identifying issues that automated tests might miss. It involves testers exploring the application, simulating real-world scenarios, and identifying potential issues. 3. Test-Driven Development (TDD): TDD encourages us to write tests before code, ensuring that testing is an integral part of the development process. 4. Continuous Integration / Continuous Delivery (CI/CD): CI/CD pipelines ensures that code changes are continuously integrated and tested. This helps in early detection of defects and accelerates the delivery process. "Early bug detection is not just a task; it's a mindset." What challenges have you faced in shifting left, and how have you overcome them? Share your experiences and insights in the comments below!! Your feedback could help others on their journey to improved quality and faster delivery.

We're wasting our most talented engineers on a fundamentally broken process. We ask them to build innovative products, then saddle them with writing and maintaining brittle E2E tests. Every hour an engineer spends fixing a cy.get() selector or a flaky Playwright test is an hour they're not building your core product. We made that mistake in my previous startup. Tests were outdated the very next day as the UI/UX and flows were changing rapidly. We finally ditched regression tests, and our engineers hated maintaining them. It wasted a lot of money – testing tools + engineering hours. Many teams, feeling this pain, have turned to new "AI QA" tools only to get burned. They're tired of expensive pilots that end with AI-generated test code their own engineers have to debug and maintain. It's the same problem, just with a new layer of abstraction. This is why our early adopters – all Series A+ companies – are working with us at Bug0. We're not another tool that generates code. And we're not an agency selling man-hours. We sell one thing: an outcome. Fast, deterministic regression testing on every single commit. We deliver this by pairing tireless AI agents with expert human QA strategists. The AI does the grunt work; our experts handle the strategy. The result is instant feedback in your PRs and a QA process that just works. So your developers can finally just... build. For too long, QA has been an incompetent bottleneck; we believe serious companies deserve an outcome: instant, reliable quality on every single commit.