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Ever feel like you spend more time wrestling with tools than actually building stuff? You're not alone.
According to , developers waste up to 75% of their time just maintaining toolchains rather than coding. Even worse, over 78% of DevOps professionals report wasting between 25-100% of their time keeping their toolchain running.
Traditional development is like being handed a giant bin of unsorted LEGO bricks and told to build a castle. You spend most of your time digging through the pile looking for the right pieces, and everyone builds differently.
Platform engineering is like getting those official LEGO kits with sorted pieces, clear instructions, and modular components. You still have creative freedom, but you're not wasting hours hunting for that one specific brick or reinventing foundations that have already been perfected.
I've spent years documenting developer workflows and watching teams struggle with the same problems over and over. Let's look at five major pain points and how Internal Developer Platforms (IDPs) actually solve them.
What's an Internal Developer Platform anyway?
Before diving in, a quick definition: an IDP is a that sits on top of your infrastructure and tools, abstracting away complexity so developers can focus on building rather than configuring. Think of it as a unified interface for your entire development lifecycle.
No more jumping between 10+ tools just to deploy a simple feature.
Pain Point #1: Deployment Bottlenecks
The Problem
How long does it take your team to get code from commit to production? For most teams, it's days or weeks. .
The bottleneck isn't usually the code—it's the deployment process itself. When deployments require specialized knowledge or manual steps, everything slows down. If the one person who knows how to deploy is on vacation, you're stuck.
The Solution
IDPs provide self-service templates for deployments. Instead of developers needing to understand the underlying infrastructure, they get standardized workflows with the right guardrails.
With a platform approach, your team can:
You don't need a huge budget to implement this. Start with:
Set up templates for your most common deployment types and build from there.
Pain Point #2: Context Switching Costs
The Problem
Each interruption costs developers . When developers have to switch between different tasks, tools, and contexts, productivity tanks.
The math is brutal: for a team of 10 engineers losing 10 minutes per context switch at $72/hour, that's $120 lost per build. With 50 builds per day and 22 working days, you're burning $132,000 monthly in lost productivity.
The found "time spent gathering project context" tied for the biggest productivity leak (26%).
The Solution
Platform engineering attacks this by creating unified interfaces and standardized workflows. Instead of switching between CI/CD tools, cloud consoles, monitoring dashboards, and ticketing systems, developers get a single interface.
Implementing an IDP gives you:
For smaller teams, you can start with:
The Problem
"It works on my machine" might be the most frustrating phrase in software development. Environment inconsistencies waste countless hours on debugging issues that only appear in specific environments.
When dev, test, and production environments don't match, you're essentially testing different systems. Problems appear out of nowhere during deployment, and fixing them becomes a painful guessing game.
The Solution
IDPs provide standardized environment templates and self-service provisioning. This ensures consistency across all stages of development.
With a platform approach:
Begin with:
Even small teams can implement these practices incrementally.
Pain Point #4: Cognitive Load from Multiple Tools
The Problem
Most teams juggle 6+ different tools, with 13% managing up to 14 different tools in their development chain. Each tool has its own interface, quirks, and mental model.
Learning and remembering how to use all these tools creates massive cognitive overhead, especially for new team members.
The Solution
streamlines development by providing standardized tools and interfaces. IDPs create a single point of entry for developers to access everything they need.
Implementing a platform approach gives you:
Start by:
The Problem
Security is crucial but often becomes a productivity killer. Manual security reviews, compliance checks, and remediations consume valuable development time and delay deployments.
When security is bolted on at the end rather than built in from the start, it creates friction and frustration.
The Solution
Platform engineering embraces "self-service with guardrails." IDPs build security into workflows rather than tacking it on afterward.
With a platform approach:
Even small teams can implement:
The good news? You probably already have the foundation for platform engineering in place. The trick is connecting these pieces into a cohesive experience:
Your Git workflow can expand beyond code versioning to include configuration and specs.
Those Docker containers you use for local development? With some standardization, they become the basis for consistent environments across your pipeline.
That CI/CD pipeline you built for testing? It can become the backbone of a self-service deployment platform.
The key isn't getting new tools—it's connecting what you have in smarter ways. Focus on eliminating the manual steps between these systems first, then build interfaces that make the process seamless.
What's your team's biggest development pain point? Let me know in the comments!
According to , developers waste up to 75% of their time just maintaining toolchains rather than coding. Even worse, over 78% of DevOps professionals report wasting between 25-100% of their time keeping their toolchain running.
Traditional development is like being handed a giant bin of unsorted LEGO bricks and told to build a castle. You spend most of your time digging through the pile looking for the right pieces, and everyone builds differently.
Platform engineering is like getting those official LEGO kits with sorted pieces, clear instructions, and modular components. You still have creative freedom, but you're not wasting hours hunting for that one specific brick or reinventing foundations that have already been perfected.
I've spent years documenting developer workflows and watching teams struggle with the same problems over and over. Let's look at five major pain points and how Internal Developer Platforms (IDPs) actually solve them.
What's an Internal Developer Platform anyway?
Before diving in, a quick definition: an IDP is a that sits on top of your infrastructure and tools, abstracting away complexity so developers can focus on building rather than configuring. Think of it as a unified interface for your entire development lifecycle.
No more jumping between 10+ tools just to deploy a simple feature.
Pain Point #1: Deployment Bottlenecks
The Problem
How long does it take your team to get code from commit to production? For most teams, it's days or weeks. .
The bottleneck isn't usually the code—it's the deployment process itself. When deployments require specialized knowledge or manual steps, everything slows down. If the one person who knows how to deploy is on vacation, you're stuck.
The Solution
IDPs provide self-service templates for deployments. Instead of developers needing to understand the underlying infrastructure, they get standardized workflows with the right guardrails.
With a platform approach, your team can:
- Deploy without waiting for DevOps/platform teams
- Use templates that enforce best practices
- Automate the entire CI/CD pipeline
- Deploy with a single click or command
You don't need a huge budget to implement this. Start with:
- or GitLab CI for automated pipelines
- Docker (used by ) for consistent environments
- Standardized deployment scripts checked into your repo
Set up templates for your most common deployment types and build from there.
Pain Point #2: Context Switching Costs
The Problem
Each interruption costs developers . When developers have to switch between different tasks, tools, and contexts, productivity tanks.
The math is brutal: for a team of 10 engineers losing 10 minutes per context switch at $72/hour, that's $120 lost per build. With 50 builds per day and 22 working days, you're burning $132,000 monthly in lost productivity.
The found "time spent gathering project context" tied for the biggest productivity leak (26%).
The Solution
Platform engineering attacks this by creating unified interfaces and standardized workflows. Instead of switching between CI/CD tools, cloud consoles, monitoring dashboards, and ticketing systems, developers get a single interface.
Implementing an IDP gives you:
- One portal for accessing all development resources
- Integrated workflows that reduce tool-switching
- Standardized processes that become muscle memory
- Fewer interruptions due to missing context
For smaller teams, you can start with:
- A centralized dashboard linking to your most-used tools
- Consistent CLI tools that work across projects
- Documentation that follows the same structure for all services
- Automating workflows that currently require multiple tools
The Problem
"It works on my machine" might be the most frustrating phrase in software development. Environment inconsistencies waste countless hours on debugging issues that only appear in specific environments.
When dev, test, and production environments don't match, you're essentially testing different systems. Problems appear out of nowhere during deployment, and fixing them becomes a painful guessing game.
The Solution
IDPs provide standardized environment templates and self-service provisioning. This ensures consistency across all stages of development.
With a platform approach:
- Every environment uses identical configurations
- Developers can spin up environments on-demand
- Configuration changes propagate consistently
- Local development matches production
Begin with:
- for containerizing applications
- for local development environments
- Environment configuration stored as code
- Automated environment provisioning scripts
Even small teams can implement these practices incrementally.
Pain Point #4: Cognitive Load from Multiple Tools
The Problem
Most teams juggle 6+ different tools, with 13% managing up to 14 different tools in their development chain. Each tool has its own interface, quirks, and mental model.
Learning and remembering how to use all these tools creates massive cognitive overhead, especially for new team members.
The Solution
streamlines development by providing standardized tools and interfaces. IDPs create a single point of entry for developers to access everything they need.
Implementing a platform approach gives you:
- Uniform interfaces across different tools
- Standardized workflows that work the same way everywhere
- Simplified onboarding for new team members
- Lower learning curve for daily tasks
Start by:
- Auditing your current toolchain to identify redundancies
- Creating consistent interfaces for your most-used tools
- Building wrapper scripts that standardize common commands
- Setting up a simple internal portal or wiki that provides single-point access
The Problem
Security is crucial but often becomes a productivity killer. Manual security reviews, compliance checks, and remediations consume valuable development time and delay deployments.
When security is bolted on at the end rather than built in from the start, it creates friction and frustration.
The Solution
Platform engineering embraces "self-service with guardrails." IDPs build security into workflows rather than tacking it on afterward.
With a platform approach:
- Security scanning happens automatically in pipelines
- Compliance checks run continuously
- Policy enforcement happens transparently
- Developers get instant feedback on security issues
Even small teams can implement:
- Pre-commit hooks for basic security checks
- Automated vulnerability scanning in CI pipelines
- Compliance-as-code using tools like
- Security templates for new projects
The good news? You probably already have the foundation for platform engineering in place. The trick is connecting these pieces into a cohesive experience:
Your Git workflow can expand beyond code versioning to include configuration and specs.
Those Docker containers you use for local development? With some standardization, they become the basis for consistent environments across your pipeline.
That CI/CD pipeline you built for testing? It can become the backbone of a self-service deployment platform.
The key isn't getting new tools—it's connecting what you have in smarter ways. Focus on eliminating the manual steps between these systems first, then build interfaces that make the process seamless.
What's your team's biggest development pain point? Let me know in the comments!