Staff Consultant Brian Hughes shares lessons learned for using tests in legacy software modernization projects. From developing a full understanding of the legacy codebase and what you're moving to the new system, there are a ton of considerations. https://youtu.be/CZNbWdVJOyk

Talk to someone else who gets it. We offer free office hours to talk about challenging problems. Pair with an experienced software developer or product manager who will ask you curious questions to help get you unstuck. https://link.testdouble.com/b0de11

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CEO Todd Kaufman talks about the go to market patterns of SaaS founders in the age of AI and advises on learning from users as an early step before you attempt market domination. 😅 https://youtu.be/L41MOyZdamE

You committed the fix. But everything you learned along the way went nowhere. Staff Software Consultant Rick Reilly shares a practice borrowed from TDD's red-green-refactor loop, which gives that hard-won knowledge somewhere to land. https://link.testdouble.com/f8f108

Traingent CEO Rikky Singh and Test Double CEO Todd Kaufman discuss how product development has evolved through the lens of partnering on development for Ride with Dave amidst a lot of change due to agentic development. https://youtu.be/6qlDT198ZAU

Is your organization clear enough to benefit from the speed AI delivers? Jen Tedrow thinks AI doesn't create dysfunction—it amplifies whatever patterns already exist, including the broken ones. https://link.testdouble.com/406990

Staff Consultant Steve Jackson breaks down the danger in code you don't ever really touch, and why it's important to think about ripple effects. This can compound when you're working within a complex legacy software application. https://youtu.be/ZgHOC2apHVU

Senior Software Consultant Jed Schneider shares what impressed him the most while working on Ride with Dave during our partnership with Traingent. https://youtu.be/a3Iz_XUFHRY

Senior DevOps Consultant Joé Dupuis says stop spamming the permission button on Claude. Learn how to set up Claude Code's sandbox so your AI agent works freely and securely without constant interruptions. Get the illustrated guide and get in the box: https://link.testdouble.com/fef21c

Foundation models are getting better and cheaper every quarter. So what's left to build a defensible product on? We think that's people and domain expertise. We observed this first hand while partnering with Traingent to build Ride with Dave. https://link.testdouble.com/1df281

Gifthealth hit 11x order volume growth in just over a year. We embedded 19 consultants across engineering, product, and data to help them scale amidst hyper growth without breaking their foundation. Full field report: https://link.testdouble.com/362dd6

79% of healthcare tech leaders cite limited budget as their top blocker. Yet the real constraint isn't money—it's solving the wrong problems. Our ongoing research points to patterns. And we've got a useful framework to start diagnosing root causes. https://link.testdouble.com/389f5e

Move from "here's the story of the system" to "here's what's red and here's the intervention that makes sense for your situation." If you're considering legacy modernization, leadership needs a scored diagnosis: every finding rated on how bad and problem type. https://link.testdouble.com/28cb6b

You shouldn't have to choose: clean Python code or poorly-named external APIs. Pydantic field aliases let you have both: Pythonic variable names in your code, whatever naming scheme the API expects on the wire. No more manual field mapping or workarounds. https://link.testdouble.com/ddffe7 #Python

Staff Consultant Brian Hughes talks about the value of tests as living documentation for your software application. https://youtu.be/7_HS5WJ_5BQ

Test Double CEO Todd Kaufman discusses with Traingent CEO Rikky Singh the importance of continuing to use taste and judgment born from experience alongside agentic coding. https://youtu.be/a3Iz_XUFHRY

Thought from @docondev.bsky.social on why "go faster" backfires: teams cut composition and validation corners, creating the brittleness that slows them down. Speed comes from flow: small batches, trust, systems built for adaptation. Not from pushing harder.

Your Python code doesn't need more abstractions. It needs fewer moving parts. Staff Consultant @kadams54.bsky.social lays out seven tenets for functional simplicity in Python. https://link.testdouble.com/0a1025

Test Double Co-Founder & CEO Todd Kaufman talked with Traingent Co-Founder & CEO Rikky Singh about product development in the AI era, and shares some thoughts inspired by our partnership working on Ride with Dave. https://link.testdouble.com/80b445

Summer reading time! Discover our curated reading list for consultants, featuring top books, talks, and tutorials on software development, product management, and business. https://link.testdouble.com/12b7a9

We spent fifty years building software abstractions for human cognition. Agentic coding starts pulling in the other direction. @docondev.bsky.social says we may need to renegotiate the abstractions. https://link.testdouble.com/50b4c2

From scattered to strategic: Prescription startup case study The mission: A talented team was stretched over 20 potential initiatives, missing revenue targets, and had no strategic focus.

In a conversation with Traingent CTO Wayne Marley about building Ride with Dave, Principal Consultant Dave Mosher talked about what's happening by shortening the loop in product development with agentic coding. www.youtube.com/watch?v=w_JF...

For decades, we've optimized code for human readers. Agentic coding is forcing a renegotiation of what "craft" means. @docondev.bsky.social argues that's shifting emphasis from code-level readability to system-level observability and problem-space incrementalism. https://link.testdouble.com/d4da60

Staff Consultant Steve Jackson explains the pragmatic time is money rule of software application test coverage. youtu.be/zEZBT-epKdU?...

Your coding agent will write tests. What it won't do, by default, is write good tests. Mutation testing fills that gap, and it turns out LLMs benefit from it far more than human developers. Neal Lindsay breaks down the set up and getting your agent to run it. https://link.testdouble.com/c8f60d

Teams actually shipping AI products build a system that keeps agents honest with humans in charge. Principal Consultant Dave Mosher talked with Traingent CTO Wayne Marley about how this shaped the way Ride with Dave was built. https://link.testdouble.com/14515b

AI doesn't have an accuracy problem. It has a target problem. Three Amigos, adapted for solo devs: BDD → TDD → Given/When/Then Acceptance Criteria. Stop correcting after the fact. Approach and useful framework tools: https://link.testdouble.com/bcf238

Facing a lack of standards and capabilities in the industry, Pelagic Research Services developed mission-critical emergency software for the ocean's final frontier in partnership with Test Double. Read the full case study: https://link.testdouble.com/17b970

There are a lot of good ways to bring research, planning, and implementation structure to AI coding tools. Han was built by River Bailey for people who would rather pick their own path than ride someone else's track. https://link.testdouble.com/398be5

🔧 Legacy code: rewrite or refactor? Key factors: - Business outcomes you're driving? - Security risks? - Framework support? - Team understanding of features/usage? - Risk tolerance? - Team understanding to maintain the system? Pro tip: There is no magic answer. It's always situational.

Mission: Get rid of paper forms & manual entry, with no full-time dev team, to help HRS scale. Fix: HIPPA compliant web app in English & Spanish, plus 24/7 chat. Results: Multi-patient assistance scaling & sole Medicaid vendor for major Ohio health systems. https://link.testdouble.com/bf6618

VP of Delivery @docondev.bsky.social reflects on agentic coding as the third real sea change in software development. After PCs (decade-long shift) and the web (five years), the timeline is compressing. Prior shifts expanded the profession. This one compresses it. https://link.testdouble.com/29294e

Real field reports from 3 different legacy modernization approaches—including why each path was chosen for the situation. If you're trying to understand for the first time the pros and cons of a legacy rewrite vs. refactor, this one's for you! https://link.testdouble.com/ff68b2

Principles without consequences are aspirations. Senior Product Manager Michael Toland shares a framework for turning codified culture into real behavioral change. Learn more: https://link.testdouble.com/6648fc

Verse Communications was building decentralized social infrastructure, and needed a repeatable path to test assumptions and find product-market fit fast. We ran rapid AI prototyping sprints and built discovery frameworks so they could move with confidence. https://link.testdouble.com/a004f1

We're hiring a Principal Product Consultant at Test Double! We're seeking an experienced product leader who can partner with clients on complex product challenges, shape product strategy, and drive meaningful business outcomes. Apply: https://testdouble.hire.trakstar.com/jobs/fk0zp76/

Standard Ruby (the bikeshed-proof linter & formatter) is used in over 9,000 projects. But how does the team at Test Double decide which RuboCop rules make the cut? Camilo Payan shares the process: the criteria, the tradeoffs, and what they deliberately leave out. https://link.testdouble.com/dde93d

You can generate more code faster than ever. But speed was never the goal—it's a byproduct of achieving outcomes under constraints. AI amplifies quality and entropy equally. The key is the harness you build around it. Read the post and let us know what you think https://link.testdouble.com/17569f

We use AI to solve business problems, not for hype's sake. Solving problems with software to drive business impact is why we exist. CEO Todd Kaufman shares why it's important for business leaders to periodically revisit organizational mission, vision, and values. https://link.testdouble.com/6a0803

Staff Consultant Brian Hughes shares a framework for defining your testing strategy to match your specific codebase: go from the outer edges in. 🤩 youtu.be/dKM-kr34Fm8?...

Microservices scaling: MedTech with 50+ services, 235k daily requests Mission: Streamline and balance speed with quality Fix: Strategic simplification Results: 50% faster deployments, resolutions in minutes Embedded advisory solving problems alongside your team > consultant recs that disappear

Enbala needed to scale an energy management platform to process gigabytes of data per second from thousands of grid assets in real time. We embedded for rapid feature releases, performance refactoring, automated testing, and mentoring devs and product managers. https://link.testdouble.com/e280de

When leaders demand speed, teams often cut corners—creating brittleness that slows everything down. @docondev.bsky.social has advice: Real speed emerges from flow, small batches, and systems designed for adaptation, not pushing harder on execution. https://link.testdouble.com/0655f3

Staff Consultant Steve Jackson shares considerations on different types of tests you write—and why it's important to not make assumptions about why an existing test was written. www.youtube.com/watch?v=yKnc...

50+ microservices. Lean team. Daily fires. The fix: - Custom logging library - API gateway architecture - Structured learning via katas - Improved Collaboration 50% faster deployments, resolutions in minutes. Software problems are human problems. We speak human. https://link.testdouble.com/1bd181

When a wide range of things aren't working or didn't scale effectively, you hit trade off decisions. To make an effective business case for budgeting you need to ensure you're advocating for the right things. Our pragmatic and actionable assessments help you do just that.

Learn advanced Pydantic techniques to bring order to chaotic, real world data. In this talk @kadams54.bsky.social gave for IndyPy he introduces Pydantic for Python with practical examples. https://link.testdouble.com/1fc497

Healthcare tech teams keep launching features. Tech debt keeps growing. The problem isn't your developers—it's solving symptoms instead of root causes. This report points to possible reasons why. https://link.testdouble.com/389f5e