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Engineering Leadership
August 13, 2025
15 min read
Engineering Management

Improving Software Engineering Efficiency: A Comprehensive Plan

A structured approach to transforming debt-heavy codebases through three strategic layers and a proven operating loop. Learn how to tackle engineering efficiency as a context, people, and technical challenge.

This comprehensive guide to improving software engineering efficiency is presented in three parts. This foundational article covers the complete framework and strategic approach. For deeper dives into specific aspects, continue with Part 2: Context & People and Part 3: Technical Foundations & Code Quality.

Improving engineering efficiency in a debt-heavy codebase is primarily a context, people, and technical challenge. Any approach that lasts must be anchored in how the company operates, shaped by the team who will run it, and only then supported by the technical system.

The book Working Effectively with Legacy Code is a great starting point for tackling technical debt. However, it is not a comprehensive plan: it is primarily aimed at engineers and focuses on code-level strategies. It does not address the broader context or the people involved, both of which are essential for lasting improvement and organizational success.

The plan below follows a simple structure—Company, Team, Technical—executed through a loop of Assess, Align, Execute, and Improve. It is designed to adapt to different cultures and operating models and to produce sustainable change rather than one-off heroics.

The Three Layers

Company (operating context)

Begin by understanding the organizational culture and communication patterns. Examine how Engineering collaborates with Product, Sales, and other departments. Key questions include:
  • How does Engineering collaborate with Product, Sales, and other departments—are decisions made in silos or through cross-functional dialogue?
  • Do engineers understand customer pain points, business priorities, and market constraints?
  • Is information flow transparent across all levels, from the CEO to individual contributors?
  • Are problems and technical concerns openly shared and discussed throughout the organization?

Look at how decisions get made—who has input, who decides, and how teams handle disagreements. If technical debt isn’t discussed openly or priorities aren’t clear, efficiency drops fast.

Make sure everyone agrees on what “quality” and “success” mean. Engineering, Product, and Sales may each have a different take. Getting on the same page keeps improvements focused on what matters most.

Team (people and delivery)

Build a team environment where everyone has three essential elements: Purpose, Tools, and Guardrails. Start with communication patterns that ensure clarity and psychological safety.

Purpose: Every team member must understand not just what they're building, but why it matters. Establish clear communication channels between Product and Engineering that go beyond ticket handoffs. Engineers should understand customer impact, business constraints, and how their work connects to outcomes.

Tools: Ensure people have the skills, support, and feedback mechanisms they need to succeed. This includes technical skills training, mentorship programs, and regular feedback loops.

Guardrails: Implement lightweight processes that contain errors before they become expensive. This includes code review standards, automated testing expectations, and clear escalation paths for when things go wrong. Guardrails should feel supportive rather than restrictive: they exist to catch mistakes, not slow down good work. Regular retrospectives help refine these boundaries based on what the team actually needs.

Technical (system and execution)

Only after aligning on company and team should the mechanics of the stack and pipeline be tuned. Introduce guardrails that reduce risk without slowing flow: protected main branches, clear review expectations, feature flags for safer releases, and fast feedback through focused tests in continuous integration.

Tie observability to explicit service objectives so stability and speed can be managed rather than guessed. Treat technical debt as work with ownership and scheduling, combining everyday "leave it better" improvements with a small, regular cadence of targeted refactors that pay down the most costly constraints.

The Operating Loop and Leadership

Transform these three layers through a continuous cycle that emphasizes strong leadership communication and consistent follow-through.

  1. Assess: Conduct time-boxed discovery through stakeholder interviews, documentation review, and incident analysis to capture top constraints and opportunities.
  2. Align: Create a shared plan with clear metrics, ownership, and practices that fit the culture while ensuring everyone understands how success will be measured.
  3. Execute: Deliver quick wins that build trust and momentum while implementing guardrails like code reviews, testing, and feature flags to reduce risk.
  4. Improve: Review outcomes regularly, adjust the plan based on results, and remove practices that don't deliver value to maintain short feedback loops.

Leadership success depends on prompt decision-making, clear communication, and consistent follow-through. Leaders must provide air cover to protect team focus, sequence work appropriately, and model expected behaviors. When leadership owns outcomes and makes timely decisions, teams understand that new ways of working matter, ensuring changes persist beyond initial enthusiasm.

What This Looks Like in Practice

In practice, this plan is lightweight and concrete. A brief strategy document explains goals, guardrails, and the few metrics that matter. A single dashboard makes progress and risk visible. A concise checklist guides pull requests, testing, and releases. A rolling backlog of debt items is tied to observed incidents and wasted time, ensuring technical work is justified by impact rather than abstract ideals. The result is a steady cadence of safer changes, faster feedback, and a continuous reduction of drag.

Closing

A comprehensive efficiency plan respects the company's reality, equips the team to own delivery, and then tunes the technical system to support both. By cycling through assess, align, execute, and improve—without overloading the organization with process—the approach delivers compounding gains that endure.

"Most importantly, this systematic approach builds organizational capability for ongoing improvement. Rather than one-time efficiency gains, the approach delivers transformation that lasts."

Continue Reading: The next article dives deep into the organizational and people foundations that determine whether technical improvements will stick. Learn how company context, team composition, and communication practices create the environment for lasting efficiency gains.

Read Part 2: Context & People →

Engineering Leadership
Technical Debt
Team Management
Process Improvement
Software Architecture