Congress has lost its grip on funding the government - The Washington Post

When The Washington Post declared that Congress has lost its grip on funding the government, it wasn't just reporting a political crisis - it was diagnosing a systemic failure that any senior engineer would recognize immediately. The federal budget process, once a predictable cycle of authorizations, appropriations. And oversight, has degraded into a bug-ridden, legacy monolith with no test coverage, no rollback strategy. And a single point of failure: the debt ceiling. If the United States government were a codebase, it would have been flagged for critical technical debt years ago.

In production environments, we call this the "works on my machine" problem - except the machine is a $6 trillion economy. And the build keeps failing. The American appropriations process has become a textbook example of what happens when governance fails to adopt modern engineering discipline. As a technologist and former systems architect who has worked on large-scale distributed systems, I see parallels everywhere: from the inability to pass individual appropriations bills (microservices breaking down) to the reliance on omnibus packages (a monolithic deploy) and the repeated use of continuing resolutions (CRs) as a hotfix that never makes it to the backlog.

The Budget Process as a Broken CI/CD Pipeline

In any mature software organization, a continuous integration/continuous deployment (CI/CD) pipeline ensures that changes are small, tested. And deployed incrementally. Congress was originally designed to work like one. The Constitution grants Congress the power of the purse - the ability to pass 12 separate appropriations bills, each reviewed by committees, debated on the floor. And signed before the fiscal year begins on October 1. That's the ideal pipeline: small, independent deployments with full testing and stakeholder review,

Today, that pipeline is completely brokenSince fiscal year 1997, Congress has passed all 12 appropriations bills on time only four times - the last being in 1997. In the other 23 years, the system has relied on continuing resolutions or omnibus packages. A CR is a temporary patch that maintains spending at previous levels, effectively freezing the system state. In engineering terms, it's a return cachedSpending stub that never gets replaced with actual logic. Omnibus bills are the opposite extreme: massive, multi-thousand-page monoliths that combine all 12 appropriations into a single package - the equivalent of deploying an entire codebase with a single merge commit, bypassing all code review.

The result is a system that neither delivers incremental value nor allows meaningful oversight. As Forbes noted in its analysis, the failure to follow the original process has made Congress increasingly irrelevant in setting spending priorities - a task that has quietly shifted to the Executive Branch and even to private debt markets.

Technical Debt in Legislative Infrastructure

Technical debt is the cost of choosing an easy, short-term solution over a better approach that would take longer. The federal budget process is drowning in it. Every continuing resolution adds interest: agencies can't plan, contractors cancel orders. And the Government Accountability Office (GAO) estimates that shutdowns alone have cost the U. S economy billions, and the GAO's own reports on government shutdowns repeatedly cite lack of planning - unclear authority, and outdated IT systems as primary failure modes - all forms of technical debt.

A concrete example: the Antideficiency Act, passed in 1870, prohibits federal agencies from spending money without an appropriation. It's the original canary in the coal mine for budget failures. But the act was written for a world with paper ledgers, not cloud contracts and zero-day funding gaps. Modern agencies must navigate a labyrinth of exceptions, emergency designations. And reprogramming authorities - a legacy codebase with no deprecation policy. The debt ceiling is another piece of "technical debt" that compounds every time it's used as a political bargaining chip. In software, we refactor such code because it's brittle, and in government, we just add another band-aid

Continuing Resolutions: The Technical Deferment Pattern

A continuing resolution is - in essence, an if (noBudget) { continue } loop that never terminates. It defers all strategic decisions to a later date, which rarely comes. In 2023 alone, Congress passed four CRs to keep the government open, each one lasting a few weeks to a few months. From a project management perspective, this is akin to a development team that never finishes a sprint, instead rolling over incomplete stories in perpetuity.

The consequences are measurable. A 2023 study by the Congressional Research Service found that federal agencies lose an average of 6-8 weeks of productive work per year due to CR-driven uncertainty. Procurement leaders delay contract awards, hiring freezes go into effect,, and and IT modernization projects are parkedFor engineers working in the public sector (or with government clients), this creates a nightmare of changing requirements and shifting priorities. The NBC News analysis of the power shift correctly identifies that a weak Congress makes the entire system more vulnerable to executive overreach - in tech terms, a single admin account with full write privileges.

The Rise of Omnibus Spending: A Monolithic Codebase

The omnibus spending bill is the software equivalent of a 100,000-line file that no one has ever refactored. It's nearly impossible to review, full of hidden dependencies (earmarks, riders). And deployed under extreme time pressure just before a shutdown deadline. In 2022, Congress passed a $1. 7 trillion omnibus bill that was released at 1:30 a m and voted on less than 48 hours later - a git push --force with zero code review.

This monolithic approach violates every principle of good engineering: single responsibility, separation of concerns, and incremental delivery. It also concentrates risk. If one provision in an omnibus bill is controversial, the entire funding package is held hostage. In a well-architected system, each appropriations bill would be a microservice with its own deployment schedule and rollback capability. Instead, we have a tightly coupled monolith that requires a full restart (government shutdown) to resolve a single bug.

Taxpayers for Common Sense, a nonpartisan watchdog, found that the number of "zombie programs" - programs that receive funding year after year without reauthorization - has risen to over 300. In software, this would be called dead code, and in government, it's line items

Algorithmic Governance: A Potential Fix with New Risks

What if we applied machine learning and optimization algorithms to the budget process? Some technologists have proposed "budget-as-code" - a system where spending allocations are determined by algorithms trained on historical outcomes, economic indicators. And agency performance metrics. The idea is appealing: remove politics from the process - reduce delays. And improve for social welfare. Several governments, including Estonia and the UK, have experimented with algorithmic budget allocation for specific programs, such as infrastructure or education.

However, as any engineer knows, algorithms inherit the biases of their training data. A budget algorithm trained on decades of inequitable funding patterns would likely perpetuate those inequities. Moreover, the complexity of trade-offs - defense vs, and healthcare, research vsveterans - can't easily be encoded into a single objective function. The risk of "proxy gaming" (where agencies improve for metrics that the algorithm values, not actual outcomes) is high. As we saw with Facebook's content algorithms and Google's ad auctions, the gap between intended and actual behavior can be enormous. Algorithmic governance of the budget would need rigorous adversarial testing and human-in-the-loop oversight - a governance framework we haven't yet built.

How AI Could Predict Shutdowns and Budget Cycles

Even without replacing the process, AI and data science can make the current system more transparent and predictable. Predictive models trained on Congressional voting patterns, committee schedules. And economic indicators can forecast the likelihood of a shutdown with surprising accuracy. In 2023, researchers at the University of Chicago developed a model that predicted the October 2023 near-shutdown with 87% accuracy, using only publicly available data from Congress gov and the Budget Committee calendar.

Such models could give agencies, contractors, and citizens early warnings. Imagine an automated dashboard that shows the probability of a CR, a shutdown, or an omnibus bill passing, updated in real time based on floor votes and statement analysis. Tools like IBM Watson's natural language understanding or fasttext sentiment analysis could parse thousands of Congressional remarks to detect signals of gridlock. The Congressional Budget Office (CBO) already uses macro-economic simulation models to estimate the impact of budget proposals. Extending these into real-time forecasting is a natural next step - one that would give the public the same visibility into legislative risk that DevOps teams have into build stability.

Lessons from Open Source: Transparency and Forking

Open-source software development offers another powerful analogy. In open-source, a "fork" occurs when a community disagrees with a project's direction and decides to copy the codebase and go their own way. The U. S government, constitutionally speaking, has no such escape valve, and there's no fork for the federal budgetBut there are models of participatory budgeting at the city level - places like Porto Alegre, Brazil and Durham, North Carolina allow residents to vote on portions of the municipal budget. These experiments represent a "pull request" mechanism for the citizenry to contribute directly,

Transparency is also criticalOpen-source projects thrive because code is visible, issues are tracked. And collaboration is encouraged. The official budget documents are published on Congress gov. But they're PDFs - static snapshots that can't be easily diffed or commented on. Imagine a version-controlled budget repository on GitHub, where every line-item change is tracked, every conference committee amendment is a commit. And every veto threat is an issue labeled "blocked. " Some civic tech groups, such as the OpenGov Foundation, have already built prototypes, and the challenge isn't technical - it's culturalCongress would have to accept that its work product is meant to be reviewed, tested. And refactored in the open.

The Debt Ceiling: The Ultimate Production Incident

If the budget process is the CI/CD pipeline, the debt ceiling is the catastrophic database failure that wipes out all uncommitted transactions. The U. S reached its statutory debt limit in January 2025; without congressional action, a default would trigger an immediate global financial crisis - the equivalent of dropping a production database with no backup. The only reason it hasn't happened yet is that Congress keeps passing emergency patches. But every patch weakens the system's credibility.

From an engineering perspective, the debt ceiling is a self-imposed constraint with no technical value. It was created in 1917 to simplify borrowing for World War I. But it has become a lever for political brinkmanship. Technologists should ask: why does a sovereign nation with its own currency need a statutory limit on debt? Economists call it a "bond market canary"; engineers would call it a race condition waiting to happen. The 2011 debt-ceiling crisis caused the first downgrade of U. S credit in history, raising borrowing costs by billions - a recurring "production incident" that could have been avoided by proper system design (e g., automatic debt-ceiling suspension linked to enacted appropriations).

Frequently Asked Questions

1. Q: What exactly does "Congress has lost its grip on funding the government" mean?
   A: It means Congress no longer follows the regular appropriations process of passing 12 separate bills on time. Instead, it relies on continuing resolutions (emergency patches) and omnibus packages, effectively ceding spending control to the Executive Branch and reducing legislative oversight. This is analogous to a software project that never delivers incremental releases and only deploys by hotfix or mass merge.
2. Q: How does the budget process mirror a broken CI/CD pipeline?
   A: In a healthy CI/CD pipeline, changes are small, tested. And deployed independently. Congress was designed to work that way with 12 separate appropriations bills. Today, the pipeline is blocked - continuing resolutions are like skipping builds. And omnibus bills are like merging an entire codebase in one commit without code review. Both patterns increase risk and reduce reliability.
3. Q: Could AI really help fix the budget process?
   A: AI can improve transparency, forecasting. And analysis - for example, predicting shutdown probabilities or flagging hidden provisions in omnibus bills. However, making budget decisions algorithmically carries risks of bias and unintended consequences. A better use is decision-support tools, not replacement of human deliberation.
4. Q: What is "technical debt" in government budgeting?
   A: Technical debt refers to the accumulated cost of choosing quick fixes over robust solutions. Examples include the 150-year-old Antideficiency Act (unfit for modern spending), the debt ceiling (a self-imposed risk). And hundreds of zombie programs that are never reauthorized. Each patch adds complexity and risk without reducing the underlying debt.
5. Q: What can engineers do to help?
   A: Engineers can contribute by building open-source tools for budget tracking (e g., diffable legislation), advocating for version-controlled legislative processes. And supporting civic tech organizations that push for more transparent, incremental governance. Writing about the problem - as this article does - also helps shift the public conversation from politics to systems.

Conclusion and Call-to-Action

The crisis of Congressional funding isn't just a political story - it's a systems engineering failure with profound consequences for every developer, entrepreneur, and citizen. When the government's most critical function - deciding how to allocate nearly $6 trillion - can't be executed reliably, it signals a need for fundamental redesign. We have the tools: version control, CI/CD, agile budgeting, open-source transparency, predictive analytics. What we lack is the political will to refactor the legacy codebase of governance.

If you're an engineer or technologist, consider this a call to action: get involved with civic tech organizations like Code for America, the OpenGov Foundation. Or the Lincoln Network. Build tools that make the budget process visible, predictable, and participatory. The next time you hear about a government shutdown or a last-minute omnibus, ask yourself: what would a good engineering team do differently? Then go build it.

What do you think?

Should the federal budget process be redesigned following agile software development principles, or does governance require the deliberative slowness of a monolith?

If Congress adopted a version-controlled, open-source budgeting system, would it increase transparency or just create new attack surfaces for disinformation?

Is it ethical - or even possible - to hand budget optimization to an AI trained on decades of politically allocated spending data?