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Signs of Bad Engineering in a Product-Centric Software Company

Wolfgang Hilpert Architecture, Innovation, Management, Quality

Bad engineering doesn’t just affect the technical team—it impacts the entire company, from product quality to customer experience and business growth. Here are the key warning signs of bad engineering:

1. Poor Code Quality & Maintainability

🔹 Symptoms:

  • Spaghetti code: Hard to read, modify, or extend.
  • High levels of code duplication, no proper abstraction.
  • Lack of comments or documentation, making onboarding difficult.
  • Overuse of quick fixes (hacks) rather than well-structured solutions.
  • Accumulation of technical debt without addressing it.

🔹 Impact:
❌ Slows down development and increases bugs.
❌ New engineers struggle to understand or improve the code.
❌ Every change introduces unexpected regressions.

2. Frequent Production Failures & Downtime

🔹 Symptoms:

  • Regular outages, crashes, or performance degradation.
  • Fixing one bug introduces multiple new bugs.
  • Hotfixes are common, with little emphasis on permanent solutions.
  • Lack of monitoring and alerting, leading to delayed incident response.

🔹 Impact:
❌ Poor customer experience leads to churn.
❌ Engineers spend more time putting out fires than innovating.
❌ Loss of reputation and business revenue.

Example: Twitter’s repeated downtime issues in the past were linked to poor engineering scalability decisions.

3. Slow Development & Delivery (Velocity Issues)

🔹 Symptoms:

  • Releases take too long due to manual processes and poor automation.
  • Feature requests are constantly delayed, frustrating product and business teams.
  • Code reviews and deployments are a bottleneck.
  • Engineers spend too much time on low-value work (e.g., fixing trivial issues, repetitive manual tasks).

🔹 Impact:
❌ Business loses competitive edge due to slow innovation.
❌ Engineers get frustrated, leading to burnout and turnover.
❌ Product teams lose confidence in engineering capabilities.

Example: Companies stuck with legacy monolithic systems often struggle with agility, slowing down releases.

4. No Clear Engineering Standards & Best Practices

🔹 Symptoms:

  • No coding guidelines, leading to inconsistent code across teams.
  • Lack of testing, resulting in frequent regressions.
  • No defined CI/CD pipelines, causing manual deployments with high failure rates.
  • No peer reviews or poor feedback loops.

🔹 Impact:
❌ Engineers reinvent the wheel, leading to inefficiencies.
❌ Codebases become fragile and hard to scale.
❌ Onboarding new engineers takes too long due to lack of structure.

Example: In the early days, Facebook’s move-fast culture led to poor engineering practices that later required massive refactoring efforts.

5. Poor Collaboration Between Engineering & Other Teams

🔹 Symptoms:

  • Engineering works in isolation, ignoring input from product, design, and business teams.
  • Constant conflicts with product managers over priorities.
  • Lack of user empathy—engineers focus on tech for tech’s sake rather than solving real problems.
  • Siloed teams, causing misalignment in goals and execution.

🔹 Impact:
❌ Features get built but don’t match business needs or user expectations.
❌ Lack of communication leads to delays and rework.
❌ Engineering is perceived as an obstacle rather than an enabler.

Example: A startup that ignores customer feedback in favor of “cool tech” might build features no one wants.

6. Outdated or Poorly Chosen Technology Stack

🔹 Symptoms:

  • Relying on outdated technologies that hinder performance and scalability.
  • Choosing trendy but unproven tech without assessing long-term feasibility.
  • Sticking to old systems due to fear of change.
  • No documentation on why certain tech choices were made, making it hard to upgrade.

🔹 Impact:
❌ Difficult to hire new engineers with outdated skills.
❌ Increased maintenance costs and technical debt.
❌ Company struggles to scale as user demand grows.

Example: A company stuck on legacy PHP monoliths while competitors move to microservices and cloud-native solutions.

7. Security and Compliance Risks

🔹 Symptoms:

  • Lack of security best practices in code and infrastructure.
  • Hardcoded credentials or API keys in repositories.
  • No security testing or vulnerability scans.
  • Failure to comply with industry regulations (GDPR, HIPAA, SOC 2, etc.).

🔹 Impact:
❌ Increased risk of data breaches and cyberattacks.
❌ Legal penalties and loss of customer trust.
❌ Security incidents lead to PR nightmares and financial losses.

Example: The Equifax breach in 2017 happened due to unpatched vulnerabilities, exposing 147 million records.

8. High Engineer Turnover & Poor Team Morale

🔹 Symptoms:

  • Engineers burn out due to unrealistic deadlines and constant firefighting.
  • Lack of growth opportunities, leading to talent leaving.
  • Poor leadership and lack of technical mentorship.
  • Engineering is treated as a cost center rather than a strategic asset.

🔹 Impact:
❌ Constant hiring and onboarding slow down projects.
❌ Loss of institutional knowledge when senior engineers leave.
❌ Negative company reputation in the developer community.

Example: Companies with toxic cultures (e.g., overwork, lack of recognition) struggle to retain top engineering talent.

Final Thoughts: Engineering is the Backbone of a Product Company

Bad engineering doesn’t just mean bad code—it leads to slow releases, poor product quality, security risks, unhappy customers, and frustrated teams.

✅ Fixing bad engineering requires:

  • Strong technical leadership and mentorship.
  • Clear best practices for code, testing, security, and deployments.
  • A collaborative culture between engineering, product, and design.
  • Investing in modern tech stacks and automation.
  • Prioritizing scalability, performance, and security from day one.

Great engineering is not just about coding—it’s about delivering value, scaling efficiently, and creating a world-class product experience. 🚀

Effects of Bad Engineering in a Product-Centric Software Company

Bad engineering has far-reaching consequences that impact not just the engineering team, but the entire business, customers, and company growth. Here’s a breakdown of its negative effects:

1. Slower Development & Delivery

🔹 Symptoms:

  • Features take too long to build and release.
  • Engineers spend more time fixing bugs than developing new features.
  • Lack of automation and DevOps leads to manual, error-prone deployments.

🔹 Impact:
❌ Missed market opportunities—competitors release products faster.
❌ Frustrated product teams waiting for slow engineering cycles.
❌ Company struggles to scale and innovate.

Example: A company that lacks CI/CD pipelines will release updates slowly, while competitors deploying continuously can adapt quickly.

2. Poor Product Quality & User Experience (UX)

🔹 Symptoms:

  • Frequent bugs and crashes frustrate users.
  • Features don’t work as expected due to poor testing.
  • Slow performance and unresponsive UI drive users away.

🔹 Impact:
❌ Higher customer churn—users abandon the product for better alternatives.
❌ Negative reviews & poor reputation—lowers trust in the brand.
❌ Increased support costs—customer service teams handle more complaints.

Example: If an e-commerce site crashes during peak shopping hours, it can lose millions in revenue.

3. High Technical Debt & Maintenance Costs

🔹 Symptoms:

  • Codebase becomes fragile and hard to maintain.
  • Small changes break unrelated features due to poor architecture.
  • Engineers avoid touching legacy code because it’s a mess.

🔹 Impact:
❌ Engineering velocity slows down—simple changes take weeks instead of hours.
❌ More time spent fixing past mistakes than developing new features.
❌ Higher infrastructure costs due to inefficient software.

Example: A startup that ignores technical debt early on may need to rebuild its entire system later, causing massive delays and costs.

4. Frequent Downtime & Production Failures

🔹 Symptoms:

  • Product experiences regular crashes and outages.
  • Lack of monitoring and alerting, leading to delayed incident response.
  • Hotfixes become the norm instead of permanent solutions.

🔹 Impact:
❌ Lost revenue—every minute of downtime costs money.
❌ Loss of customer trust—users switch to more reliable competitors.
❌ Increased operational costs—engineers constantly firefighting instead of innovating.

Example: Facebook’s 6-hour outage in 2021 led to millions in losses and damaged trust in its infrastructure.

5. Security Vulnerabilities & Data Breaches

🔹 Symptoms:

  • Weak security practices—hardcoded credentials, lack of encryption, or outdated libraries.
  • No security testing or DevSecOps in place.
  • Failure to comply with industry regulations (e.g., GDPR, HIPAA, SOC 2).

🔹 Impact:
❌ Massive legal fines & penalties for non-compliance.
❌ Loss of customer trust after a data breach.
❌ Expensive damage control—patching vulnerabilities under pressure.

Example: The Equifax data breach (2017), caused by an unpatched security vulnerability, exposed 147 million customer records and resulted in a $700 million fine.

6. Poor Collaboration Between Engineering & Other Teams

🔹 Symptoms:

  • Engineers work in silos, ignoring input from product and design teams.
  • Conflicts with product managers over feature prioritization.
  • Lack of clear documentation, making cross-team collaboration difficult.

🔹 Impact:
❌ Misaligned goals—product releases don’t meet business needs.
❌ Rework & wasted effort—features are built incorrectly and need to be redone.
❌ Low morale—frustration between teams leads to blame culture.

Example: If product and engineering teams don’t communicate, engineers may build the wrong feature, leading to wasted time and resources.

7. Increased Engineer Burnout & High Turnover

🔹 Symptoms:

  • Engineers are constantly firefighting, fixing bugs, and dealing with technical debt.
  • Unrealistic deadlines and poor leadership create stress.
  • Lack of career growth and mentorship.

🔹 Impact:
❌ High attrition rates—losing talent to competitors.
❌ Knowledge loss—when senior engineers leave, they take critical expertise with them.
❌ Constant hiring & onboarding costs—slowing down development even further.

Example: A company with poor engineering culture will see its best developers leave, making hiring and retention difficult.

8. Loss of Competitive Edge & Business Failure

🔹 Symptoms:

  • Engineering cannot deliver innovative features fast enough.
  • Competitors outperform the product in speed, scalability, and UX.
  • Company struggles to pivot or adapt due to poor engineering foundations.

🔹 Impact:
❌ Declining market share—users migrate to better alternatives.
❌ Investors lose confidence, reducing funding & growth potential.
❌ In extreme cases, the company shuts down due to its inability to compete.

Example: Nokia’s failure to adapt to modern smartphone software led to its decline, even though it had world-class hardware.

Final Thoughts: Engineering as a Business Driver

Bad engineering isn’t just a technical problem—it’s a business risk. It leads to slow releases, frustrated users, high costs, security breaches, and lost revenue.

✅ How to Fix It?

  • Implement engineering best practices (clean code, testing, CI/CD).
  • Prioritize scalability, security, and automation.
  • Foster a collaborative culture between product, design, and engineering.
  • Invest in mentorship and technical leadership to retain top talent.

Great engineering is what makes companies like Google, Amazon, and Netflix succeed. 🚀 If engineering fails, the entire company suffers—but if done right, it becomes the engine of innovation, growth, and long-term success.