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The Test of Time in Software Development

· 2 min read
Pedro Arantes
CTO | Product Developer

In software development, trust is not established at the moment a system is deployed. Even if a system passes all unit tests, integration tests, and manual QA processes, there remains a psychological barrier: the "Test of Time." This concept suggests that a system only becomes truly trusted after it has run in production for a period without issues.

The Psychological Nature of Trust in Software

Unlike mathematical proofs or deterministic logic, software trust is built through real-world usage. Developers, stakeholders, and users may recognize that a system has been thoroughly tested, but they still harbor a level of skepticism until it has been operational for some time. This phenomenon is psychological rather than technical—no matter how rigorously a system is tested, confidence in its reliability grows only with prolonged uptime and observed stability.

Why Does the Test of Time Matter?

  1. Unpredictable Real-World Conditions – No testing environment can perfectly replicate production. Variables like network conditions, concurrent usage, unexpected user behaviors, and infrastructure anomalies can introduce failures that were not anticipated in pre-deployment testing.

  2. Latent Issues – Some defects do not manifest immediately. Edge cases, race conditions, and memory leaks may only surface after prolonged execution, reinforcing the need for time-based validation.

  3. Human Perception of Reliability – People trust things that have been proven over time. This is true in engineering, finance, and even personal relationships. The longer a system runs without failure, the more confidence stakeholders develop.

Implications for Software Teams

  1. Monitor Systems Closely Post-Deployment – The first few weeks or months after deployment are crucial for observing unexpected behavior. Proper logging, monitoring, and alerting are essential.

  2. Gradual Rollouts and Feature Flags – Instead of deploying at full scale, gradual rollouts allow issues to be detected in smaller, controlled environments before full release.

  3. Acknowledging the Psychological Factor – Developers and managers should recognize and accept that trust takes time to build. Even if all tests pass, skepticism is natural and should be addressed with transparency and data-driven validation.

Conclusion

The "Test of Time" is an inherent part of software trust. No matter how well-tested a system is before launch, real confidence only develops through sustained, problem-free operation in production. Understanding this psychological aspect helps teams set realistic expectations and reinforces the importance of ongoing monitoring and iteration.

First, We Aim for Velocity: Driving Fast and Adaptive Product Development

· 7 min read
Pedro Arantes
CTO | Product Developer

The Power of Velocity

Velocity is not just about moving fast—it's about achieving momentum that drives learning and adaptability. In product development, a team's ability to operate quickly can be a game-changer, allowing them to experiment, learn, and adjust before competitors even begin to react. By prioritizing velocity, we unlock two significant advantages: faster learning cycles and the ability to pivot with precision.

Do You Utilize Leading and Lagging Indicators for Your Startup's Success?

· 4 min read
Pedro Arantes
CTO | Product Developer

In tech startups, it is important to anticipate problems and measure success effectively. Leading and lagging indicators are key tools for this. Leading indicators are early signs that help predict future outcomes, allowing for quick actions to prevent issues. Lagging indicators, on the other hand, show past results, revealing the impact of previous actions. Both are necessary for a balanced and informed approach to growth.

Enabling Agile Product Development with ttoss: A Modular Approach

· 3 min read
Pedro Arantes
CTO | Product Developer

One of the core objectives of ttoss (Terezinha Tech Operations) is to create a modular library system that enables product development teams to become agile, aligning with the Principle D12: The Second Agility Principle. In today's fast-moving development world, the ability to pivot and adapt rapidly is crucial. This principle emphasizes that it's not enough to merely decide to change direction—teams must be able to execute those changes quickly and efficiently.

The Hidden Costs of Queues in Product Development

· 4 min read
Pedro Arantes
CTO | Product Developer

In product development and process management, queues can silently become a significant source of economic waste. Queues delay progress, reduce efficiency, and create ripple effects that harm quality, motivation, and ultimately, business outcomes. This article explores seven critical forms of waste that queues generate: idle capacity, longer cycle times, increased risk, greater variability, more overhead, lower quality, and diminished motivation.

Building the Foundation for Effective Decentralized Control

· 5 min read
Pedro Arantes
CTO | Product Developer

In our previous blog, Agility in Action: Embracing Change Through Decentralized Product Decisions, we explored how decentralized decision-making in product development can enhance agility and responsiveness while maintaining alignment with broader strategic goals. In this post, we’ll delve into how organizations can effectively lay the groundwork to support decentralized product decisions, fostering a culture of autonomy and accountability.

Setting Up a Multi-Purpose Server with Amazon EC2, Docker, and Traefik

· 13 min read
Pedro Arantes
CTO | Product Developer

Efficient infrastructure is crucial for running multiple applications smoothly. In this guide, we’ll show how to set up Amazon EC2 with Docker and Traefik to containerize services and manage routing efficiently. This streamlined approach simplifies deployment, optimizes server use, and ensures agility for a dynamic work environment.

Strategic Decision-Making: Always Account for Economic Impact in Your Product Choices

· 13 min read
Pedro Arantes
CTO | Product Developer

In today's fast-paced business environment, product decisions are often driven by deadlines, resource constraints, and the pressure to innovate. E1. The Principle of Quantified Overall Economics: Select Actions Based on Quantified Overall Economic Impact offers a strategic framework, emphasizing that every decision should be grounded in a clear economic analysis rather than philosophical debates.

Working with different ids through the application

· 5 min read
Pedro Arantes
CTO | Product Developer

An entity can have different ids through the application, from database to the frontend. For example, a user can have an id in the database, another id in the frontend because the GraphQL Global Object Identification Specification that Relay specifies. And that is because the concept of node in in a cursor-based pagination that we need to have these different ids.