
Latest
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Most companies still aren’t measuring AI coding tools
AI adoption is soaring, but 82% of organizations still aren’t measuring the impact of AI coding tools.
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The one way to crack technical estimations under pressure
Technical estimations require overview of many different moving parts. Why not solicit the help of your team to move things along?
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In partnership with Stytch
Are you ready for AI agents?
AI is changing how apps get accessed – are your systems built to keep up?
Editor’s picks

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Essential reading

How to build an effective technical strategy
Building a tech strategy requires a lot of moving parts. Learn about what routes to take and whether decisions should be top-down.
On our Technical Direction playlist

Modernizing legacy systems: A technical strategy for evolving monoliths into modern architectures at HelloFresh
Gain insights into transforming legacy systems into scalable architectures, with practical strategies for balancing stability, managing technical debt, and enabling growth opportunities at HelloFresh.

Technical Vision vs. Technical Strategy: The difference and why it matters
Jonathan Maltz digs into the nuts and bolts of setting a successful technical strategy. Startin by talking about the difference between technical vision and technical strategy.

How to implement platform engineering at scale
In this webinar, we’ll hear from enterprise engineering leaders who’ve overcome cultural barriers and team silos, and successfully adopted platform engineering practices in their orgs.

Good technical debt
Jon Thornton discusses how this framework was used to rapidly build and ship Squarespace’s Email Campaigns product in less than 15 months. Along the way, you’ll get several practical guidelines for how tech debt can supercharge your technical investments.

Creating, defining, and refining an effective tech strategy
Having a defined tech strategy creates alignment and keeps everyone on the same page. So how can you ensure yours is most effective? Panelists Anna Shipman, Randy Shoup, Papanii Nene Okai, Nimisha Asthagiri and Anand Mariappan share their tips.
More about Technical Direction
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Is AI code sabotaging its own ROI case?
Charity Majors, CTO at Honeycomb, argues that the biggest value from AI is from rethinking how teams operate.
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The problem with shadow development
Your dev team hates Jira and will bend over backwards to get around using it. Big problem or smart solution?
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The secret behind Java’s success at 30-years-old
The three ingredients behind the programming language’s extraordinary staying power.
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How Jit overcame developer resistance to shift to Cursor
Israeli startup Jit overcame engineer pushback and boosted productivity by transitioning from JetBrains to the AI-powered coding assistant Cursor.
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AI, platform engineering, or DX? How to choose where to invest
With so many opportunities on offer in the market right now, how can leaders make sure they’re investing in the right thing?
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How to make the right decisions under pressure
Making the right decision under time pressures takes practice. Here are six rules to abide by that help make the process easier.
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The future of testing in compliance-heavy industries
Traditional testing doesn’t cut it anymore. Modern strategies are key to surviving in compliance-heavy industries.
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MCP and the future of AI tools
What is the Model Context Protocol (MCP) and how does it simplify data access, enhance AI reliability, and accelerate development?
Top Technical Direction videos
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Escaping the rewrite trap
Gain practical frameworks to assess rewrites vs. evolution, plan successful migrations, and align teams and stakeholders without losing momentum.
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Technical Steering Groups: Balancing autonomy, technical alignment, and speed through strategic collaboration
Learn how technical steering groups drive technical alignment while fostering ownership – balancing autonomy and collaboration to fuel speed, innovation, and impactful decision-making across teams.
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Honey, I shrunk the bill!
Learn proven strategies to reduce cloud spend by improving visibility, auditing usage, and optimizing data and microservices infrastructure for efficiency
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Optimization of mobile development strategy for maximum business impact
Learn how to optimize mobile strategy—tech choices, team structure, and processes—for faster delivery, scalability, and measurable business results
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Theory to action: Architecting and implementing your team operating system
Learn the theory behind the operating systems of high-performing engineering teams. Leave with a practical idea of how to design a flexible team operating system with rhythms, tools, and feedback loops for your team.
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Becoming AI engineers
Discover how to build reliable, high-impact AI features—tools, patterns, and team practices that make AI integration truly transformative
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Effortless execution: Designing processes that don’t need babysitting
Discover five characteristics of team processes that can save your sanity, improve your relationships, and let your team take pride in being a well-oiled machine.
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How to make the perfect decision
Master decision-making in software architecture with frameworks that drive alignment, reduce risk, and deliver meaningful, context-aware outcomes