How a Workers Cryptocurrency Can Revolutionize IT Culture

 The modern IT industry, despite its innovative façade, often mirrors traditional corporate structures where promises made by employers frequently go unfulfilled, leaving workers disillusioned and undervalued. Introducing a worker-issued cryptocurrency could serve as a catalyst for change, empowering employees and reshaping the dynamics within the IT sector.

A New Means of Exchange

At its core, the idea involves creating a free cryptocurrency that employees can use to exchange goods and services, effectively holding employers accountable for their promises. By developing their own currency, startup and corporate workers can assert economic independence and challenge traditional power structures.

The Financial Core: Turning Promises into Currency

The innovative aspect of this cryptocurrency lies in its foundation: the unfulfilled promises made by employers become the basis for issuing new coins. When an employer makes a commitment—such as a raise, bonus, or promotion—that remains unfulfilled, employees can “mine” new coins equivalent to the value of that promise. This process transforms intangible promises into tangible assets.

Each coin issuance would be tagged with the company name and could optionally include identifiers of the specific managers who made the promises. This tagging adds a layer of transparency and accountability, although disclosing individual names may carry legal risks and should be approached cautiously. The tagged coins serve as a ledger of commitments, highlighting the gap between employer promises and employee realities.

Impact on IT Culture

The IT industry thrives on innovation and disruption. Introducing a cryptocurrency aligns with this ethos, promoting a culture that values transparency, equity, and collaboration. It can foster a sense of community among workers, encouraging them to support one another outside the confines of corporate hierarchies.

.....

Read more here: https://dantweb.dev/2024/10/how-a-workers-cryptocurrency-can-revolutionize-it-culture/?utm_source=blogger

Flat organized coders vs. project-oriented development

why flat organization structure destroys your software product and how to avoid it before you exit the market

Product development with flat organizational structure

Flat hierarchies initially reduce costs by enabling the use of lower-budget developers under supervision of someone with more wide experience (PO or architect). 

You can relatively fast and efficiently create an MVP and support further product development for a while with such an approach.. In the long-term perspective this is a road to degradation and exit from the market. 

Why ‘flat hierarchie’ is bullshit?

Let’s start, that hierarchie cannot be flat. In other words flat is 2D, hierarchie is 3D. The problem is so, that without a deep understanding of the full system and clear oversight, developers may focus narrowly on their assigned tasks, leading to disjointed solutions with uncontrolled and unmanagable costs. Over time, these fragmented efforts can increase technical debt, slow down future development, and require costly rework, ultimately negating any initial savings.

Flat organization in the development process creates risks. Relying on lower-cost developers within a flat hierarchy often results in increased dependency on a few key individuals, like the lead architect or product owner, for critical decisions. This bottleneck can slow down decision-making and create inconsistencies in the codebase. 

Without a comprehensive view of the product, developers are less likely to foresee integration challenges or anticipate future scalability needs, leading to a product that is harder to maintain and scale over time. Consequently, while upfront savings might seem appealing, the cumulative impact of inefficiencies, delays, and necessary rework can drive up costs substantially in the long

Project-oriented approach 

A project-oriented approach, in contrast, promotes a more holistic understanding of the product among developers, which can significantly improve both quality and cost efficiency. 

By assigning teams to entire features or larger components rather than isolated tasks, developers gain a better understanding of the system architecture, user needs, and how their contributions fit into the broader scope of the project. 

Why projects increase speed of development

This alignment helps minimize technical debt and fragmentation, as developers are more likely to make design decisions that consider long-term stability and scalability. The transparency of your code grows, it becomes more stable, the support costs go lower and upgrade costs are also become more predictable. 

It happens because of the fact  that the developers and teams feel themselves are more invested in the overall success of their assigned project, which fosters a sense of ownership and responsibility for the final product’s performance. This focus on collective outcomes encourages higher-quality code, reduces the likelihood of rework, and improves cross-functional collaboration, ultimately streamlining the development process.

What are the financial outcomes?

In terms of cost efficiency, while this approach might involve higher upfront expenses by employing more experienced developers or investing in longer planning phases, the reduction in technical debt, fewer integration issues, and faster adaptation to changing requirements lead to lower long-term maintenance costs. The project-oriented approach mitigates the need for constant rework and firefighting, delivering a product that is both robust and cost-effective to evolve. 

more about IT and management here: https://dantweb.dev/2024/10/proletarianization-of-the-it/?utm_source=blogger

Top10 AI-Powered Tools for Software Development Management

It’s all about AI nowadays. Everyone is asking, “If AI is so powerful, how can we measure its effect in our business?” Here is a list of the **Top 10 AI-powered tools** that help optimize product development.

### 1. [LinearB](https://linearb.io)

**Overview**: LinearB connects with GitHub and Jira to analyze development metadata, offering AI-powered insights to optimize workflow efficiency. But only with LoopAI (https://executiveai.uk) any of the trick show effieciency

- **Key Features**:

  - Metrics on cycle time, deployment frequency, and code churn.

  - Automated alerts for bottlenecks and delays.

  - Recommendations for improving development processes.

- **Benefits for Management**:

  - Provides visibility into the software delivery pipeline.

  - Helps balance workload distribution among team members.

  - Facilitates continuous improvement through data-backed suggestions.

### 2. [Waydev](https://www.waydev.co)

**Overview**: Waydev integrates with GitHub and Jira to deliver analytics on engineering performance, using AI to interpret code and project data.

- **Key Features**:

  - Code review and commit analysis.

  - Developer performance metrics and benchmarks.

  - Sprint and release tracking with predictive insights.

- **Benefits for Management**:

  - Enhances understanding of individual and team contributions.

  - Identifies areas for skill development and training.

  - Supports setting realistic goals and timelines.

### 3. [Code Climate Velocity](https://codeclimate.com/velocity)

**Overview**: This platform connects with GitHub and Jira to provide AI-driven insights into engineering processes and team dynamics.

- **Key Features**:

  - Measurement of team throughput and efficiency.

  - Identification of process bottlenecks.

  - Trend analysis over time for continuous improvement.

- **Benefits for Management**:

  - Aids in resource allocation and project planning.

  - Improves team collaboration by highlighting workflow issues.

  - Supports performance reviews with objective data.

### 4. [Pluralsight Flow](https://www.pluralsight.com/product/flow)

**Overview**: Formerly GitPrime, Pluralsight Flow uses metadata from GitHub and Jira to offer AI-powered analytics on engineering productivity and code quality.

- **Key Features**:

  - Detailed analysis of code commits and reviews.

  - Visualization of development workflows.

  - Predictive models for project outcomes.

- **Benefits for Management**:

  - Enhances code quality through actionable feedback.

  - Reduces time-to-market by streamlining development cycles.

  - Fosters a culture of accountability and continuous learning.

### 5. [Haystack](https://usehaystack.io)

**Overview**: Haystack integrates with GitHub and Jira to provide real-time metrics and AI insights into software delivery performance.

- **Key Features**:

  - Tracking of deployment frequency and lead time.

  - Early detection of delivery risks.

  - Customizable alerts and reports.

- **Benefits for Management**:

  - Improves deployment reliability and speed.

  - Identifies and mitigates risks before they impact delivery.

  - Enhances transparency with stakeholders through reporting.

### 6. [Sleuth](https://www.sleuth.io)

**Overview**: Sleuth connects with GitHub and Jira to track and improve deployment workflows using AI analytics.

- **Key Features**:

  - Monitoring of DORA metrics (Deployment Frequency, Lead Time for Changes, etc.).

  - Impact analysis of deployments.

  - Automated tracking of release progress.

- **Benefits for Management**:

  - Optimizes release cycles for better efficiency.

  - Reduces downtime by identifying problematic deployments.

  - Supports data-driven discussions around deployment practices.

### 7. [Propelo](https://propelo.ai)

**Overview**: Propelo provides an AI-powered engineering excellence platform by integrating with GitHub and Jira to analyze development processes.

- **Key Features**:

  - Automated process compliance checks.

  - Detection of workflow inefficiencies.

  - Recommendations for continuous improvement.

- **Benefits for Management**:

  - Ensures adherence to best practices and compliance standards.

  - Reduces waste by eliminating unnecessary steps.

  - Boosts team morale by simplifying workflows.

### 8. [DeepAffects](https://www.deepaffects.com)

**Overview**: Now part of RingCentral, DeepAffects uses AI to analyze communication and collaboration metadata from Jira and GitHub to assess team sentiment and productivity.

- **Key Features**:

  - Sentiment analysis of commit messages and comments.

  - Insights into team dynamics and communication patterns.

  - Identification of collaboration bottlenecks.

- **Benefits for Management**:

  - Enhances team cohesion by addressing communication issues.

  - Improves productivity by fostering a positive work environment.

  - Informs leadership strategies with emotional intelligence data.

### 9. [Anaxi](https://www.anaxi.com)

**Overview**: Anaxi aggregates data from GitHub and Jira to provide AI-driven analytics and customizable dashboards.

- **Key Features**:

  - Issue tracking and prioritization.

  - Code quality metrics and alerts.

  - Team performance and workload insights.

- **Benefits for Management**:

  - Streamlines prioritization of tasks and issues.

  - Maintains high code standards through quality monitoring.

  - Balances team workload to prevent burnout.

### 10. [Allstacks](https://www.allstacks.com)

**Overview**: Allstacks integrates with Jira, GitHub, and other development tools to aggregate metadata and provide AI-driven insights into project health, team performance, and delivery risks.

- **Key Features**:

  - Predictive analytics for project timelines and delivery.

  - Identification of bottlenecks and workflow inefficiencies.

  - Real-time dashboards with actionable insights.

- **Benefits for Management**:

  - Enables proactive risk management by forecasting potential delays.

  - Improves decision-making with data-driven insights into team productivity.

  - Enhances transparency across projects and teams. 

---

These tools can give you valuable insights and help optimize your team’s performance by leveraging AI-powered analytics in your development processes.