bugs Archives - Tempus Donum https://tempusdonum.com/en/tag/bugs-en/ Web & App Development, QA, and Process Automation for Business Efficiency Fri, 13 Mar 2026 14:17:03 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://tempusdonum.com/wp-content/uploads/2025/04/Capture-decran-2025-04-17-175637-1.png bugs Archives - Tempus Donum https://tempusdonum.com/en/tag/bugs-en/ 32 32 5 mistakes developers make when integrating AI for the first time https://tempusdonum.com/en/5-mistakes-developers-make-when-integrating-ai-for-the-first-time/ https://tempusdonum.com/en/5-mistakes-developers-make-when-integrating-ai-for-the-first-time/#respond Fri, 13 Mar 2026 14:04:28 +0000 https://tempusdonum.com/?p=2317 Avoid exploding costs and production crashes. Discover the 5 common pitfalls of AI integration (RAG, tokens, security) and concrete solutions.

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5 AI integration mistakes (and how to fix them)

Avoid exploding costs and production crashes. Discover the 5 common pitfalls of AI integration (RAG, tokens, security) and concrete solutions.

Introduction

Your team has decided to integrate generative AI. You have API access, and the initial tests are promising. But before going into production, beware: there are five systemic pitfalls that often turn an innovative project into a financial black hole or a technical nightmare. These aren’t beginner mistakes, but rather scaling errors. They only appear when traffic increases, costs skyrocket, or the first incident occurs. As experts in recruiting and onboarding AI-ready developers, we see them every week.

These steps are as follows:

Error #1 — Le Context Dumping

the problem : Sending too much data in each request to be “sure” that the AI ​​responds correctly (entire codebase, complete history, massive documents).

  • The financial impact: You’re spending too much money daily without any control.
  • The performance impact : The longer the prompt, the longer the user waits. Latency becomes unbearable.
  • The solution: RAG (Retrieval Augmented Generation). Instead of sending everything, we use a smart database that selects only the 3 to 5 extracts strictly necessary for the query.

Objective: Stay below 2,000 tokens to reduce your costs by 80%.

Error #2 — Missing "Safety Net" API

The problem: Calling AI directly without anticipating that the service might be overloaded or unavailable.

  • The symptom: As soon as the number of users increases, the API returns an error (Rate Limit). Without proper handling, your application crashes, and the user is left with a blank screen.
  • The solution: Retry with Backoff. This strategy involves automatically retrying the API call with an increasing delay.

Fallback: Always provide a default response or a smart waiting message if the AI ​​doesn’t respond after three attempts.

Error #3 — The “API Keys” leak

The problem: Leaving the API key written into the source code or sharing it via Slack/email among developers.

  • The danger: Bots constantly scan GitHub. An exposed key can be hacked in less than 4 minutes. Malicious actors can then use your account to generate millions of tokens at your expense.
  • The solution: Use Secret Managers (AWS Secrets Manager, Vault). No key should ever appear in your working files. Enable a monitoring tool (like GitGuardian) to block any leaks before they reach the internet.

Error #4 — The "Amnesiac" or "Overloaded" AI

The problem: An AI model does not have natural memory from one message to another.

  • The risk: Either the AI ​​forgets what was said two sentences earlier (a frustrating experience), or the developer has to re-record the entire history each time (exploding costs).
  • The solution: Selective Memory Management. A “memory window” must be implemented that retains only essential recent exchanges or an automatic summary of the conversation to maintain consistency without breaking the budget.

Error #5 — Flying without a dashboard (The absence of evaluations)

The problem: Relying on intuition or a few manual tests to judge the quality of the responses.

  • Risk: AI “hallucinates” (confidently invents facts). Without an automated evaluation system, these errors will go live and damage your company’s credibility.
  • The solution: The Golden Dataset. Create a list of 50 critical questions with their expected answers. Automate the testing of these questions with each update. If the reliability score drops, the update is not deployed.

Checklist — The 5 checkpoints before deployment

  1. Optimization: Do you use RAG to limit the number of tokens?
  2. Resilience: Can your application handle a 429 error (overload) without crashing?
  3. Security: Are your API keys masked and protected by a digital vault?
  4. Consistency: Do you have a memory strategy for your conversations?

Reliability: Do you have a test set (Golden Dataset) to measure hallucinations?

Conclusion

These five mistakes aren’t signs of incompetence. They’re the natural errors of any team discovering a new technical paradigm. The difference between a successful AI integration and one that goes wrong in production often lies in these details—which no one really documents because they’re learned on the job.

That’s precisely why TEMPUS DONUM makes a real difference. Whether you need to structure your existing team’s AI integration or bolster your capabilities with developers who already have expertise in these areas in production, we’re here to help.

Is your team integrating AI? Let’s talk about it.

These 5 mistakes are avoidable 

with the right support. We help teams integrate AI correctly — or we provide you with developers who already master these topics.

-> Option A : We integrate AI into your existing stack

-> Option B : AI-ready developers available quickly

Book a free 30-minute strategy call 

                                                                 Contact us

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]]> https://tempusdonum.com/en/5-mistakes-developers-make-when-integrating-ai-for-the-first-time/feed/ 0 Test plan aligned with market trends https://tempusdonum.com/en/test-plan-aligned-with-market-trends/ https://tempusdonum.com/en/test-plan-aligned-with-market-trends/#respond Fri, 07 Nov 2025 14:32:15 +0000 https://tempusdonum.com/?p=2201 Create a modern testing plan aligned with market trends to ensure quality, innovation, and performance.

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Test plan aligned with market trends

Here are the step-by-step methods for adapting tests to marketing needs and customer expectations.

Introduction

         In a constantly evolving digital environment, a test plan must no longer be limited to verifying the proper functioning of a product, but must align with market trends, user expectations, and marketing objectives. A true strategic lever, it ensures the quality and consistency of the customer experience and the commercial relevance of the product. Building a modern test plan therefore means integrating a comprehensive vision that combines technical performance and perceived value for the user.

These steps are as follows:

Step 1: Understand the market context

Before designing any test scenario, it is necessary to analyze the overall environment:

  • Technological trends: automation, AI in testing, low-code tools, CI/CD integrations.
  • User trends: rise of mobile-first, real-time performance, personalization.
  • Marketing trends: need for speed to market, storytelling around product quality. 

👉Objective: Identify the elements that influence your customers’ perception of quality.

Step 2: Define the objectives of the test plan

A modern test plan is not simply about “checking that everything works.”

 

It must address strategic objectives:

  • Support marketing campaigns (ensure stability before launch).
  • Improve the user experience (reduce bounce rate and improve fluidity).
  • Ensure product credibility.

👉 Each test must serve a clear business or marketing objective.

Step 3: Identify the types of tests to prioritize

Based on current trends, certain types of tests are becoming essential:

  • User experience (UX) testing: evaluate fluidity and visual consistency.
  • Performance testing: simulate heavy loads to anticipate activity peaks.
  • Accessibility testing: meet new inclusivity requirements.
  • Mobile testing: adapt to current browsing habits.

👉 The idea is to combine technical tests and user-oriented tests.

Step 4: Integrate technology and marketing intelligence

Intelligence plays a key role here, allowing you to continuously adjust your testing plan to remain competitive and relevant.

  • Technology intelligence → identify new automation tools, frameworks, and emerging practices.

Marketing intelligence → track customer behavior, audience expectations, and competitor strategies.

Step 5: Develop the testing strategy

Once the information has been gathered:

  1. List the critical features to validate.
  2. Associate each feature with a user or marketing objective.
  3. Determine acceptance criteria based on customer satisfaction and target performance.
  4. Choose the appropriate tools (manual testing, automation, monitoring).

👉 Your test plan thus becomes a bridge between the technical and business strategies.

Step 6: Continuously Measure and Adjust

A market-aligned test plan is never static.

  • Monitor key metrics: load time, error rate, and customer satisfaction.
  • Gather feedback from real users (via analytics, reviews, and A/B testing).
  • Adjust based on new trends or competitive developments.

👉 The ultimate goal: a continuous improvement process that drives overall performance

Conclusion

Creating a test plan aligned with market trends transforms a simple technical step into a true strategic growth tool. It’s no longer just about detecting errors, but about ensuring the product fully meets user needs while supporting the company’s marketing vision.

Organizations that adopt this approach gain speed, credibility, and a high-quality customer experience—three essential pillars in a constantly evolving market.

At Tempus Donum, we combine market and technology monitoring to make your tests a lever for sustainable performance. Our external quality control services identify malfunctions before they become critical, reduce bugs in production, and ensure product stability, consistency, and competitiveness.

For us, testing is not an end in itself: it’s an engine of growth, trust, and credibility, at the heart of a continuous quality strategy.

For learning : Quality Assurance Services – Tempus Donum | Improve the quality of your products

Discover how our external quality control services can help you resolve your recurring bug problems.

                                                                 Contact us

Are you wasting time writing your test plans? Are you unsure about the steps, priorities, or criteria to include?

Download  Test Plan Template    today and gain rigor, consistency, and performance.

 

Our clear and comprehensive template simplifies the task: based on a strategic and focused approach, it guides you in building relevant, measurable tests aligned with your objectives.

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]]> https://tempusdonum.com/en/test-plan-aligned-with-market-trends/feed/ 0 Why 20% of Code Causes 80% of Bugs | QA Services Fix https://tempusdonum.com/en/why-20-of-code-causes-80-of-bugs/ https://tempusdonum.com/en/why-20-of-code-causes-80-of-bugs/#respond Thu, 04 Sep 2025 11:37:32 +0000 http://10.0.0.30/?p=1971 Why 20% of your code causes 80% of the bugs and how QA services fix it Introduction The Pareto principle […]

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Why 20% of your code causes 80% of the bugs

and how QA services fix it

Introduction

The Pareto principle – better known as the 80/20 rule – says that 80% of effects come from 20% of causes. In software, this translates to: a small portion of your codebase being responsible for the majority of production bugs. 

Yes, you read that right, just 20% of your code is causing most of your headaches. 

Why? We are covering that in this article: why certain areas of your application are more prone to errors and what you can do about that. (Spoiler: it’s all about better QA services, because chasing “100% coverage” wastes time, but targeting the hot spots delivers results).

That 20% of code that is causing most of your problems? It is usually the most complex, most frequently used or changed, and most exposed part of your system. Go figure. Here is why bugs tend to concentrate in these specific zones.

3 code hotspots that cause most bugs

1. Code Complexity

Perhaps unsurprisingly, the most complex parts of the code are often the most prone to bugs. This is because complexity creates blind spots where bugs thrive. Where there are nested conditions, overlapping loops, or interdependent components, this makes code harder to test and maintain (increasing the likelihood of bugs).

2.Interactions with Other Systems

erreurs_d_interaction - tempus donum

Whenever your app connects to external systems, you’re adding risk. Whether it’s compatibility issues, data format mismatches, or communication errors between systems, these multiply the chances of bugs in software sneaking through (and they are usually hard to detect too).

3. Frequent Requirement Changes

changement frequent

The last hotspot where you will find bugs is in areas of your code that are frequently modified. When there are multiple revisions to the code – whether due to shifting customer demands, new features, or evolving specs, etc – every change creates new opportunities for regressions. As you can imagine, this makes stability and test coverage harder to maintain.

How External QA Services Can Help

If you’re a SaaS startup or growing tech team, anticipating and preventing bugs in your code matters. The fewer bugs you have cropping up in production, the faster you ship, the more confidently your team works, and the happier your users remain.

As we said previously, you don’t have to chase “100% coverage” to do this. It’s actually far more effective to focus on the 20% of your code that causes 80% of the issues – the three major hotspots where those bugs love to hide. And that’s exactly what we do with our QA services.    

Here’s how external QA services can help eliminate production bugs:

  • In-depth testing: Comprehensive testing will expose hidden issues before they reach production.
  • Code analysis: Identifying the most error-prone areas in your codebase so your team knows where to focus.
  • Test automation: Building automated test suites that cover high-risk code paths consistently.

Risk prioritization: Helping you decide where QA delivers the biggest ROI.

unite QA - tempus donum

Act where it counts, not everywhere

The 80/20 principle isn’t a theory; it’s a reality in every software project. A minority of your code creates the majority of your problems. So what can you do about that?

The choice is simple:

Keep chasing bugs sprint after sprint…   Or …  Focus your QA efforts for maximum impact.

I don’t know about you, but we’d rather adopt a smart and focused testing strategy to eliminate the risky 20%. 

_______________________

At Tempus Donum, our QA services help startups and growing teams do exactly that. We identify the critical 20% of your code, focus testing where it matters, and reduce bugs where they hurt most.

Need clarity on where your bugs are coming from?
Want to prioritize your testing efforts with real data instead of guesswork?

 

Contact us for a free diagnosis or a focused QA intervention.

We’ll help you reduce bugs in production and ship with confidence.

Find out more about how our external QA services can help solve your recurring bug issues.

Learn more
Cuntact Us

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